This document discusses sleep disorders and the use of EEG signals to detect rapid eye movement disorder. It provides background on the history of sleep research and defines key terms like REM and NREM sleep. The document then describes an analysis of EEG signals from patients with rapid eye movement disorder and normal subjects using the Welch method to accurately estimate the power spectral density and help diagnose sleep disorders.
The document describes a brain-computer interface (BCI) system that aims to control devices using electrical brain signals. It discusses different types of brain rhythms that can be detected using electroencephalography (EEG), including delta, theta, alpha, and beta rhythms. The system aims to use meditation levels detected from EEG signals to determine a driver's drowsiness level and alert them if the threshold for drowsiness is crossed. This could help reduce accidents caused by drowsy driving. The document outlines the components of the proposed BCI system, including the human brain, brain wave sensor, data processing unit, and vehicle section.
Classification of EEG Signals for Brain-Computer InterfaceAzoft
This e-book gives you a sneak peak into how the classification of right hand movements via EEG could contribute to the development of a brain-computer interface. The Azoft R&D department, along with Sergey Alyamkin and Expasoft provide detailed data from research done for the "Grasp-and-Lift EEG Detection" competition organized by Kaggle. You’ll learn why the deep learning algorithms can be effective in various types of signal classifications and how to apply convolutional neural networks for a specific task such as identifying hand motions from EEG recordings.
See more details on our website: http://rnd.azoft.com/classification-eeg-signals-brain-computer-interface/
This study examined mirror neurons in macaque monkeys through electrophysiological recordings. The researchers recorded from 37 mirror neurons in the F5 region of the monkeys' brains. They found that mirror neurons responded both when the monkey performed hand actions like grasping and when they observed the experimenter perform the same actions. Mirror neurons responded more strongly during the late movement and holding periods of the observed actions. The results support the hypothesis that mirror neurons are involved in action recognition. The study provides evidence that mirror neurons encode the meaning and intention of observed actions.
Endocytosis and Endosome Trafficking: Roles in Coronavirus Uptake and Cell Si...InsideScientific
To learn more and watch the webinar, visit:
https://insidescientific.com/webinar/endocytosis-endosome-trafficking-coronavirus-uptake-cell-signaling-aps
Endocytosis and Endosome Trafficking: Roles in Coronavirus Uptake and Cell Signaling
Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on Email (Opens in new window)
ON DEMAND
Ole Petersen, Roop Mallik and Erwin Neher share late-breaking research looking at endocytosis and calcium signaling in the context of SARS-CoV-2, organelle transport and calcium imaging. This webinar is brought to you by APS’ new journal, Function, and part of their Physiology in Focus learning series.
REGISTER
During this exclusive live webinar, Ole Petersen, Roop Mallik and Erwin Neher discuss how the COVID-19 virus uses receptor-mediated endocytosis to gain entry into host cells, how motor proteins guide endosomes and phagosomes from the cell surface to lysosomes, and how intracellular calcium buffering can be used to modulate cell signaling and calcium imaging.
Endocytic Uptake of SARS-CoV-2: The Critical Roles of pH, Ca2+ and NAADP
Ole Petersen, CBE, FRS
Very recent work shows that SARS-CoV-2 enters our cells through receptor-mediated endocytosis, dependent on an endosomal bafilomycin-sensitive proton pump as well as two-pore channels (TPCs). Physiological intracellular Ca2+ signals, mediated by the messenger nicotinic acid adenine dinucleotide phosphate (NAADP), depend on the very same proton pump and TPCs. Two hitherto completely separate research fields, namely molecular virology and cellular Ca2+ signaling physiology are now coming together, creating exciting new research opportunities.
Trafficking of Endosomes and Phagosomes: Geometry, Force and Cholesterol
Roop Mallik, PhD
Uptake of material from the external world by endocytosis/phagocytosis supplies nutrients to cells, and is also critical for cell signaling. The journey of endosomes/phagosomes begins at the cell periphery and ends at lysosomes near the cell center. I will discuss how the balance of forces generated by antagonistic motor proteins guides this journey, and how lipids are emerging as a master-controller of this balance.
Calcium Buffering in Endo- and Exocytosis Studies
Erwin Neher, FRS
Researchers use calcium-chelators (buffers) to manipulate levels of free intracellular calcium concentration ([Ca2+]i) and to shape Calcium signals. Unlike pH buffers, which are used to strictly control pH levels, calcium buffers inside a living cell may not influence the steady-state level of [Ca2+]i at all, but rather slow-down [Ca2+]i-changes induced either endogenously or by the experimenter. Such properties and their consequences on Ca2+-imaging will be discussed.
Fmri and neural imaging technology has advanced our understanding of how the ...Ozella Brundidge
Neuroimaging technology such as the functional magnetic resonance imaging (fMRI) and the diffusion tensor imaging (DTI) helped to reveal the phonological, semantic, and sentence clusters of the brain's language distribution networks. Technological advances in computer imaging software revealed areas where there were differences in blood oxygen level-dependent (BOLD) signal activation in response to either external and internal stimuli such as light or thinking respectively. Researchers are able to perform whole brain analysis to locate activation or deactivation, or microstructural connectivity strength, tissue alteration, or anatomical impairment.
Studying Epilepsy in Awake Head-Fixed Mice Using Microscopy, Electrophysiolog...InsideScientific
Epilepsy research employs sophisticated research methods such as fluorescence optical imaging and optogenetics, as well as novel electrophysiological techniques, to address unresolved questions about seizure generation and propagation on the cellular and circuitry levels. Since epilepsy research is most relevant when performed in non-anesthetized mice, it requires specialized tools that ensure stable head fixation during high-precision imaging and recordings.
In this webinar, Dr. Anthony Umpierre (Prof. LongJun Wu group, Mayo Clinic, USA) and Prof. Rob Wykes (UCL, UK) present their research on microglial calcium signaling and epileptic networks carried out in awake head-fixed mice. In addition to sharing exciting new findings, the presenters address the challenges of working with awake mice.
Key topics will include…
- Mesoscopic investigations of seizure dynamics and propagation using widefield calcium imaging
- Generating full-bandwidth electrophysiological recordings enabled by graphene micro-transistors to detect spreading depolarizations and seizures
- On-demand optogenetic induction of spreading depolarizations to investigate pharmacological suppression in the awake brain
- The impact of acute versus chronic window preparations on microglial calcium activity
- The use of genetically encoded calcium indicators to study calcium dynamics in microglia
- The effects of bi-directional shifts in neuronal activity caused by kainate-triggered status epilepticus and isoflurane anesthesia on microglial calcium
1. The document discusses neuron activation signals in the brain and how they relate to EEG oscillations and blood oxygen levels. Neuron activation produces changes in blood oxygenation that can be measured by fMRI.
2. It describes how external interfaces like BCIs can record and stimulate neuron activity to restore lost functionality. BCIs can non-invasively record EEG maps or use implants to stimulate neurons.
3. It speculates that remote wireless devices could scan EEG maps using electromagnetic radiation, enabling covert abuse. Meditation changes neuron circuits and activity, strengthening neurocoherence.
The document describes a brain-computer interface (BCI) system that aims to control devices using electrical brain signals. It discusses different types of brain rhythms that can be detected using electroencephalography (EEG), including delta, theta, alpha, and beta rhythms. The system aims to use meditation levels detected from EEG signals to determine a driver's drowsiness level and alert them if the threshold for drowsiness is crossed. This could help reduce accidents caused by drowsy driving. The document outlines the components of the proposed BCI system, including the human brain, brain wave sensor, data processing unit, and vehicle section.
Classification of EEG Signals for Brain-Computer InterfaceAzoft
This e-book gives you a sneak peak into how the classification of right hand movements via EEG could contribute to the development of a brain-computer interface. The Azoft R&D department, along with Sergey Alyamkin and Expasoft provide detailed data from research done for the "Grasp-and-Lift EEG Detection" competition organized by Kaggle. You’ll learn why the deep learning algorithms can be effective in various types of signal classifications and how to apply convolutional neural networks for a specific task such as identifying hand motions from EEG recordings.
See more details on our website: http://rnd.azoft.com/classification-eeg-signals-brain-computer-interface/
This study examined mirror neurons in macaque monkeys through electrophysiological recordings. The researchers recorded from 37 mirror neurons in the F5 region of the monkeys' brains. They found that mirror neurons responded both when the monkey performed hand actions like grasping and when they observed the experimenter perform the same actions. Mirror neurons responded more strongly during the late movement and holding periods of the observed actions. The results support the hypothesis that mirror neurons are involved in action recognition. The study provides evidence that mirror neurons encode the meaning and intention of observed actions.
Endocytosis and Endosome Trafficking: Roles in Coronavirus Uptake and Cell Si...InsideScientific
To learn more and watch the webinar, visit:
https://insidescientific.com/webinar/endocytosis-endosome-trafficking-coronavirus-uptake-cell-signaling-aps
Endocytosis and Endosome Trafficking: Roles in Coronavirus Uptake and Cell Signaling
Click to share on Twitter (Opens in new window)Click to share on LinkedIn (Opens in new window)Click to share on Facebook (Opens in new window)Click to share on Email (Opens in new window)
ON DEMAND
Ole Petersen, Roop Mallik and Erwin Neher share late-breaking research looking at endocytosis and calcium signaling in the context of SARS-CoV-2, organelle transport and calcium imaging. This webinar is brought to you by APS’ new journal, Function, and part of their Physiology in Focus learning series.
REGISTER
During this exclusive live webinar, Ole Petersen, Roop Mallik and Erwin Neher discuss how the COVID-19 virus uses receptor-mediated endocytosis to gain entry into host cells, how motor proteins guide endosomes and phagosomes from the cell surface to lysosomes, and how intracellular calcium buffering can be used to modulate cell signaling and calcium imaging.
Endocytic Uptake of SARS-CoV-2: The Critical Roles of pH, Ca2+ and NAADP
Ole Petersen, CBE, FRS
Very recent work shows that SARS-CoV-2 enters our cells through receptor-mediated endocytosis, dependent on an endosomal bafilomycin-sensitive proton pump as well as two-pore channels (TPCs). Physiological intracellular Ca2+ signals, mediated by the messenger nicotinic acid adenine dinucleotide phosphate (NAADP), depend on the very same proton pump and TPCs. Two hitherto completely separate research fields, namely molecular virology and cellular Ca2+ signaling physiology are now coming together, creating exciting new research opportunities.
Trafficking of Endosomes and Phagosomes: Geometry, Force and Cholesterol
Roop Mallik, PhD
Uptake of material from the external world by endocytosis/phagocytosis supplies nutrients to cells, and is also critical for cell signaling. The journey of endosomes/phagosomes begins at the cell periphery and ends at lysosomes near the cell center. I will discuss how the balance of forces generated by antagonistic motor proteins guides this journey, and how lipids are emerging as a master-controller of this balance.
Calcium Buffering in Endo- and Exocytosis Studies
Erwin Neher, FRS
Researchers use calcium-chelators (buffers) to manipulate levels of free intracellular calcium concentration ([Ca2+]i) and to shape Calcium signals. Unlike pH buffers, which are used to strictly control pH levels, calcium buffers inside a living cell may not influence the steady-state level of [Ca2+]i at all, but rather slow-down [Ca2+]i-changes induced either endogenously or by the experimenter. Such properties and their consequences on Ca2+-imaging will be discussed.
Fmri and neural imaging technology has advanced our understanding of how the ...Ozella Brundidge
Neuroimaging technology such as the functional magnetic resonance imaging (fMRI) and the diffusion tensor imaging (DTI) helped to reveal the phonological, semantic, and sentence clusters of the brain's language distribution networks. Technological advances in computer imaging software revealed areas where there were differences in blood oxygen level-dependent (BOLD) signal activation in response to either external and internal stimuli such as light or thinking respectively. Researchers are able to perform whole brain analysis to locate activation or deactivation, or microstructural connectivity strength, tissue alteration, or anatomical impairment.
Studying Epilepsy in Awake Head-Fixed Mice Using Microscopy, Electrophysiolog...InsideScientific
Epilepsy research employs sophisticated research methods such as fluorescence optical imaging and optogenetics, as well as novel electrophysiological techniques, to address unresolved questions about seizure generation and propagation on the cellular and circuitry levels. Since epilepsy research is most relevant when performed in non-anesthetized mice, it requires specialized tools that ensure stable head fixation during high-precision imaging and recordings.
In this webinar, Dr. Anthony Umpierre (Prof. LongJun Wu group, Mayo Clinic, USA) and Prof. Rob Wykes (UCL, UK) present their research on microglial calcium signaling and epileptic networks carried out in awake head-fixed mice. In addition to sharing exciting new findings, the presenters address the challenges of working with awake mice.
Key topics will include…
- Mesoscopic investigations of seizure dynamics and propagation using widefield calcium imaging
- Generating full-bandwidth electrophysiological recordings enabled by graphene micro-transistors to detect spreading depolarizations and seizures
- On-demand optogenetic induction of spreading depolarizations to investigate pharmacological suppression in the awake brain
- The impact of acute versus chronic window preparations on microglial calcium activity
- The use of genetically encoded calcium indicators to study calcium dynamics in microglia
- The effects of bi-directional shifts in neuronal activity caused by kainate-triggered status epilepticus and isoflurane anesthesia on microglial calcium
1. The document discusses neuron activation signals in the brain and how they relate to EEG oscillations and blood oxygen levels. Neuron activation produces changes in blood oxygenation that can be measured by fMRI.
2. It describes how external interfaces like BCIs can record and stimulate neuron activity to restore lost functionality. BCIs can non-invasively record EEG maps or use implants to stimulate neurons.
3. It speculates that remote wireless devices could scan EEG maps using electromagnetic radiation, enabling covert abuse. Meditation changes neuron circuits and activity, strengthening neurocoherence.
Functional Magnetic Resonance Imaging (fMRI) is a technique that uses MRI to measure brain activity by detecting changes in blood flow and oxygen levels. It allows researchers to identify which areas of the brain are active during specific tasks or cognitive processes. fMRI provides several benefits over other brain imaging methods as it is non-invasive, has no known health risks, and can capture dynamic changes in the brain over time. While primarily a research tool, fMRI is starting to be used clinically to help diagnose and develop treatment plans for various neurological and psychiatric conditions.
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Sleep is a universal behavior characterized by decreased awareness and lack of movement. It occupies about one-third of human lives and serves important functions, though its exact purposes are unknown. Sleep involves two main types - NREM and REM sleep - which have distinct neural and physiological features. NREM sleep is further divided into stages based on EEG patterns, with deeper stages occurring earlier in the night. REM sleep involves muscle paralysis and dream-like brain activity. Wakefulness involves neural circuits that increase arousal, while distinct brain regions regulate NREM and REM sleep through complex interactions between activating and inhibitory systems.
The document discusses brain imaging technologies such as MRI, fMRI, and emerging techniques. It describes how these methods can be used to image individual neurons, neuronal networks, and the whole brain. Examples are given of how fMRI has been used to study basic brain functions and diagnose neurological disorders. The document also suggests ways for non-experts to access and analyze brain imaging data through open access repositories and analysis tools.
Fast Functional Magnetic Resonance Imaging (fast fMRI): uses MRI to measure nerve or brain activity directly
Uses MRI to detect the electromagnetic field that is generated by ionic currents (action potential)
This document discusses the reliability and validity of functional magnetic resonance imaging (fMRI). It notes that the accuracy of neuroimaging depends on the purpose of its use, such as research, medical, marketing, law or military applications. It highlights differences between structural and functional brain imaging. It also discusses limitations of fMRI related to experimental design, subject collaboration, hardware, analysis methods, and number of subjects. Measuring reliability over time with metrics like intraclass correlation is important for interpreting fMRI data. Proper experimental design and analysis are necessary to ensure fMRI studies produce valid and reliable results.
The document discusses electrophysiology techniques used to study the electrical activity of neurons and other excitable cells. It begins by explaining that electrophysiology allows measurement of ionic currents across cell membranes and helps understand how cells and tissues function. Different techniques are then described, including intracellular recordings, patch clamp recordings, and extracellular recordings. The document outlines the historical development of the field and covers topics like resting membrane potentials, action potentials, ion channels, and how neurons encode and transmit information.
1. This document discusses neuron activation signals in the brain and how they relate to EEG measurements and blood oxygen levels. It describes how EEG maps different frequency bands to cognitive states and activities. It also discusses how external brain-computer interfaces can be used for medical applications by recording EEG signals or stimulating neurons.
2. The document speculates that remote wireless devices could potentially scan and map EEG signals without electrodes, enabling covert abuse. It suggests such devices could target brain regions to induce artificial sensations like tinnitus. However, the speculation about covert abuse technology is presented without evidence.
3. The document raises ethical concerns about potential misuse of brain mapping and stimulation technologies but presents speculative claims about covert abuse devices without clear supporting
Combining Optical Brain Imaging and Physiological Signals to Study Cognitive ...InsideScientific
In this exclusive webinar sponsored by BIOPAC Systems and fNIR Devices, Dr. Hasan Ayaz, Dr. Kurtulus Izzetoglu and Frazer Findlay present new research capabilities enabled through the integration of optical brain imaging technology and physiological recording systems.
Key topics covered during this webinar include physiological and physical principles of optical brain imaging, theory of operation, hardware and software integration, essential fNIR signal processing (demonstrated using fnirSoft analysis software), common field applications of fNIR imaging, why and how researchers can measure physiological data such as EDA, HR and ECG and acquistion procedures for co-registration of fNIR data and physiological monitoring signals using AcqKnowledge data acquisition and analysis software.
Review:Wavelet transform based electroencephalogram methodsijtsrd
In this paper, EEG signals are the signatures of neural activities. There have been many algorithms developed so far for processing EEG signals. The analysis of brain waves plays an important role in diagnosis of different brain disorders. Brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons sending signals at once produces an enormous amount of electrical activity in the brain, which can be detected using sensitive medical equipment such as an EEG which measures electrical levels over areas of the scalp. The electroencephalogram (EEG) recording is a useful tool for studying the functional state of the brain and for diagnosing certain disorders. The combination of electrical activity of the brain is commonly called a Brainwave pattern because of its wave-like nature. EEG signals are low voltage signals that are contaminated by various types of noises that are also called as artifacts. Statistical method for removing artifacts from EEG recordings through wavelet transform without considering SNR calculation is proposed Miss. N. R. Patil | Prof. S. N. Patil"Review:Wavelet transform based electroencephalogram methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11542.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/11542/reviewwavelet-transform-based-electroencephalogram-methods/miss-n-r-patil
The document outlines a presentation on using brain-computer interfaces (BCIs) for upper limb neurorehabilitation. It discusses acquiring brain activity signals using electroencephalography (EEG), features of EEG signals, brain anatomy related to movement, motor imagery as a mental strategy for BCIs, and decoding movement intentions from EEG data analysis of event-related potentials and spectral perturbations. The goal is to control an exoskeleton through motor imagery-based BCI for rehabilitation applications.
Mirror neurons are a class of neurons in the monkey premotor cortex that discharge both when the monkey performs an action and when it observes another individual performing a similar action. The review discusses evidence that a mirror neuron system exists in humans and plays a fundamental role in action understanding and imitation learning. It proposes that the human mirror neuron system may be linked to and help explain the evolution of human language capabilities.
Electrophysiology of Human Native Receptors in Neurological and Mental DisordersInsideScientific
Dr. Agenor Limon presents research integrating functional metrics with large anatomical, transcriptomic, and proteomic datasets to evaluate the relationship between synaptic E/I ratio and behavioral abnormalities across postmortem intervals and brain banks.
Alterations in synaptic function have been found in transcriptomic, genetic, and proteomic studies of neurological and mental disorders. Clinical and preclinical studies suggest that synaptic dysfunction and behavioral abnormalities in disorders like Alzheimer’s disease and schizophrenia may be mechanistically linked to the emergence of imbalances between excitatory (E) and inhibitory (I) receptors. However, until recently, the electrophysiological E/I synaptic ratio had only been measured in animal models.
Using pioneering methods developed in the lab including reactivation and microtransplantation of synaptic receptors from frozen human brains, Dr. Agenor Limon’s research team has obtained electrophysiological metrics of global synaptic E/I ratios in cortical brain regions of subjects that were affected by Alzheimer’s Disease and synaptic measurements in schizophrenia.
In this webinar, Dr. Agenor Limon will present recent research integrating functional metrics with large anatomical, transcriptomic, and proteomic datasets to evaluate the relationship between synaptic E/I ratio and behavioral abnormalities across postmortem intervals and brain banks.
Key Topics Include:
- Understand the global synaptic excitation to inhibition ratio between excitatory and inhibitory synaptic receptors determined from reactivated frozen human brain tissue
- Understand the relationship between electrophysiological metrics of receptor function and multi-omic data in neurodegenerative disorders
- Understand the role of deviations of the excitation to inhibition ratio with clinical presentation in Alzheimer’s disease
This document discusses EEG (electroencephalography) and provides an overview of several key topics:
- It outlines the agenda/topics to be covered including the history of EEG, neural activities, action potentials, EEG generation, brain rhythms, recording and measurement techniques, abnormal EEG patterns, aging effects, and mental disorders.
- It describes how EEG signals are generated by the electrical activity of neurons in the brain and measured via electrodes on the scalp. Different brain wave frequencies (rhythms) can be identified in the EEG based on amplitude and frequency.
- Recording, measuring, and processing EEG signals requires electrodes, amplifiers, filters, and techniques like sampling to convert the analog signals to digital
The document summarizes the history and technical aspects of conventional EEG. It discusses how EEG works to detect and amplify the brain's electrical activity, which is measured using electrodes placed on the scalp. Different electrode placements and montages are used to view brain activity from various regions and perspectives. While imaging techniques now provide anatomical details, EEG remains clinically useful for evaluating brain function in various neurological disorders.
The document discusses sleep and the electroencephalogram (EEG). It describes the different stages of sleep including non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep. NREM sleep has 4 stages that progress from light to deep sleep as shown by changes in EEG patterns and waves like alpha, beta, theta, and delta waves. REM sleep is characterized by low amplitude, high frequency EEG similar to wakefulness along with physiological changes like eye movements and muscle paralysis. The neural and chemical bases of wakefulness and factors regulating the sleep-wake cycle are also covered.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Non invasive modalities of neurocognitive science used for brain mappingeSAT Journals
This document discusses various non-invasive modalities used for brain mapping in neurocognitive science. It describes electromagnetic techniques like EEG and MEG which measure brain's electromagnetic activity, and hemodynamic techniques like MRI, fMRI, PET and SPECT which record hemodynamic activity by detecting changes in blood flow and oxygen levels. These techniques are classified based on their measurement principles. The document provides details on the working mechanisms of EEG, MRI, fMRI and PET modalities. It explains how each modality is used to capture brain activity and images with varying spatial and temporal resolutions.
Feature Extraction Techniques and Classification Algorithms for EEG Signals t...Editor IJCATR
This document reviews techniques for extracting features and classifying EEG signals to detect human stress levels. It discusses EEG signals and how they can provide information about mental states. It also reviews common feature extraction methods like DCT and DWT that can preprocess EEG data by transforming it from the time to frequency domain. Classification algorithms like KNN, LDA, and Naive Bayes that can classify EEG data are also examined. The document proposes a system to use a Neurosky Mindwave EEG headset to record raw EEG signals, preprocess them with DWT, and classify stress levels using a combination of classifiers.
Technological innovations in neurology 1Sanjoy Sanyal
1. The document outlines various technological innovations used in neurology, including deep brain stimulation (DBS), vagus nerve stimulation (VNS), radiofrequency ablation, high-intensity focused ultrasound (HIFU), transcranial magnetic stimulation (TMS), and other devices.
2. DBS involves surgically implanting electrodes into the brain which are connected to a pulse generator to electrically stimulate areas of the brain involved in movement disorders. TMS uses magnetic fields to non-invasively stimulate areas of the brain from outside the skull.
3. HIFU is a non-invasive technique that uses focused ultrasound to heat and destroy targeted brain tissue, avoiding the risks of surgery. These technologies are used
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is a difficult, tedious and a time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC)
systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. In this paper, we propose a novel method and a practical approach to predicting early onsets of sleep syndromes utilizing the Twin Convolutional Model FTC2, including restless leg syndrome, insomnia, based on an algorithm which is comprised of two modules. A Fast Fourier Transform is applied to 30 seconds long epochs of EEG recordings to provide localized time-frequency information, and a deep convolutional LSTM neural network is trained for sleep stage classification. Automating sleep
stages detection from EEG data offers a great potential to tackling sleep irregularities on a daily basis. Thereby, a novel approach for sleep stage classification is proposed which combines the best of signal processing and statistics.
The document discusses sleep disorders and the measurement and stages of sleep. It provides details on:
1) How sleep is measured using EEG, EOG, and EMG electrodes to record brain waves, eye movements, and muscle activity.
2) The stages of sleep including NREM stages 1-4 and REM sleep, characterized by different brain wave patterns.
3) Common sleep disorders like insomnia, hypersomnia, sleep apnea, circadian rhythm disorders and parasomnias. Treatment options are also outlined.
Functional Magnetic Resonance Imaging (fMRI) is a technique that uses MRI to measure brain activity by detecting changes in blood flow and oxygen levels. It allows researchers to identify which areas of the brain are active during specific tasks or cognitive processes. fMRI provides several benefits over other brain imaging methods as it is non-invasive, has no known health risks, and can capture dynamic changes in the brain over time. While primarily a research tool, fMRI is starting to be used clinically to help diagnose and develop treatment plans for various neurological and psychiatric conditions.
In this presentation I introduce TMS usage in neurocognitive research for the MSc course at Bangor School of Psychology. Note that some of the material comes from other useful presentations found online.
Sleep is a universal behavior characterized by decreased awareness and lack of movement. It occupies about one-third of human lives and serves important functions, though its exact purposes are unknown. Sleep involves two main types - NREM and REM sleep - which have distinct neural and physiological features. NREM sleep is further divided into stages based on EEG patterns, with deeper stages occurring earlier in the night. REM sleep involves muscle paralysis and dream-like brain activity. Wakefulness involves neural circuits that increase arousal, while distinct brain regions regulate NREM and REM sleep through complex interactions between activating and inhibitory systems.
The document discusses brain imaging technologies such as MRI, fMRI, and emerging techniques. It describes how these methods can be used to image individual neurons, neuronal networks, and the whole brain. Examples are given of how fMRI has been used to study basic brain functions and diagnose neurological disorders. The document also suggests ways for non-experts to access and analyze brain imaging data through open access repositories and analysis tools.
Fast Functional Magnetic Resonance Imaging (fast fMRI): uses MRI to measure nerve or brain activity directly
Uses MRI to detect the electromagnetic field that is generated by ionic currents (action potential)
This document discusses the reliability and validity of functional magnetic resonance imaging (fMRI). It notes that the accuracy of neuroimaging depends on the purpose of its use, such as research, medical, marketing, law or military applications. It highlights differences between structural and functional brain imaging. It also discusses limitations of fMRI related to experimental design, subject collaboration, hardware, analysis methods, and number of subjects. Measuring reliability over time with metrics like intraclass correlation is important for interpreting fMRI data. Proper experimental design and analysis are necessary to ensure fMRI studies produce valid and reliable results.
The document discusses electrophysiology techniques used to study the electrical activity of neurons and other excitable cells. It begins by explaining that electrophysiology allows measurement of ionic currents across cell membranes and helps understand how cells and tissues function. Different techniques are then described, including intracellular recordings, patch clamp recordings, and extracellular recordings. The document outlines the historical development of the field and covers topics like resting membrane potentials, action potentials, ion channels, and how neurons encode and transmit information.
1. This document discusses neuron activation signals in the brain and how they relate to EEG measurements and blood oxygen levels. It describes how EEG maps different frequency bands to cognitive states and activities. It also discusses how external brain-computer interfaces can be used for medical applications by recording EEG signals or stimulating neurons.
2. The document speculates that remote wireless devices could potentially scan and map EEG signals without electrodes, enabling covert abuse. It suggests such devices could target brain regions to induce artificial sensations like tinnitus. However, the speculation about covert abuse technology is presented without evidence.
3. The document raises ethical concerns about potential misuse of brain mapping and stimulation technologies but presents speculative claims about covert abuse devices without clear supporting
Combining Optical Brain Imaging and Physiological Signals to Study Cognitive ...InsideScientific
In this exclusive webinar sponsored by BIOPAC Systems and fNIR Devices, Dr. Hasan Ayaz, Dr. Kurtulus Izzetoglu and Frazer Findlay present new research capabilities enabled through the integration of optical brain imaging technology and physiological recording systems.
Key topics covered during this webinar include physiological and physical principles of optical brain imaging, theory of operation, hardware and software integration, essential fNIR signal processing (demonstrated using fnirSoft analysis software), common field applications of fNIR imaging, why and how researchers can measure physiological data such as EDA, HR and ECG and acquistion procedures for co-registration of fNIR data and physiological monitoring signals using AcqKnowledge data acquisition and analysis software.
Review:Wavelet transform based electroencephalogram methodsijtsrd
In this paper, EEG signals are the signatures of neural activities. There have been many algorithms developed so far for processing EEG signals. The analysis of brain waves plays an important role in diagnosis of different brain disorders. Brain is made up of billions of brain cells called neurons, which use electricity to communicate with each other. The combination of millions of neurons sending signals at once produces an enormous amount of electrical activity in the brain, which can be detected using sensitive medical equipment such as an EEG which measures electrical levels over areas of the scalp. The electroencephalogram (EEG) recording is a useful tool for studying the functional state of the brain and for diagnosing certain disorders. The combination of electrical activity of the brain is commonly called a Brainwave pattern because of its wave-like nature. EEG signals are low voltage signals that are contaminated by various types of noises that are also called as artifacts. Statistical method for removing artifacts from EEG recordings through wavelet transform without considering SNR calculation is proposed Miss. N. R. Patil | Prof. S. N. Patil"Review:Wavelet transform based electroencephalogram methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11542.pdf http://www.ijtsrd.com/engineering/bio-mechanicaland-biomedical-engineering/11542/reviewwavelet-transform-based-electroencephalogram-methods/miss-n-r-patil
The document outlines a presentation on using brain-computer interfaces (BCIs) for upper limb neurorehabilitation. It discusses acquiring brain activity signals using electroencephalography (EEG), features of EEG signals, brain anatomy related to movement, motor imagery as a mental strategy for BCIs, and decoding movement intentions from EEG data analysis of event-related potentials and spectral perturbations. The goal is to control an exoskeleton through motor imagery-based BCI for rehabilitation applications.
Mirror neurons are a class of neurons in the monkey premotor cortex that discharge both when the monkey performs an action and when it observes another individual performing a similar action. The review discusses evidence that a mirror neuron system exists in humans and plays a fundamental role in action understanding and imitation learning. It proposes that the human mirror neuron system may be linked to and help explain the evolution of human language capabilities.
Electrophysiology of Human Native Receptors in Neurological and Mental DisordersInsideScientific
Dr. Agenor Limon presents research integrating functional metrics with large anatomical, transcriptomic, and proteomic datasets to evaluate the relationship between synaptic E/I ratio and behavioral abnormalities across postmortem intervals and brain banks.
Alterations in synaptic function have been found in transcriptomic, genetic, and proteomic studies of neurological and mental disorders. Clinical and preclinical studies suggest that synaptic dysfunction and behavioral abnormalities in disorders like Alzheimer’s disease and schizophrenia may be mechanistically linked to the emergence of imbalances between excitatory (E) and inhibitory (I) receptors. However, until recently, the electrophysiological E/I synaptic ratio had only been measured in animal models.
Using pioneering methods developed in the lab including reactivation and microtransplantation of synaptic receptors from frozen human brains, Dr. Agenor Limon’s research team has obtained electrophysiological metrics of global synaptic E/I ratios in cortical brain regions of subjects that were affected by Alzheimer’s Disease and synaptic measurements in schizophrenia.
In this webinar, Dr. Agenor Limon will present recent research integrating functional metrics with large anatomical, transcriptomic, and proteomic datasets to evaluate the relationship between synaptic E/I ratio and behavioral abnormalities across postmortem intervals and brain banks.
Key Topics Include:
- Understand the global synaptic excitation to inhibition ratio between excitatory and inhibitory synaptic receptors determined from reactivated frozen human brain tissue
- Understand the relationship between electrophysiological metrics of receptor function and multi-omic data in neurodegenerative disorders
- Understand the role of deviations of the excitation to inhibition ratio with clinical presentation in Alzheimer’s disease
This document discusses EEG (electroencephalography) and provides an overview of several key topics:
- It outlines the agenda/topics to be covered including the history of EEG, neural activities, action potentials, EEG generation, brain rhythms, recording and measurement techniques, abnormal EEG patterns, aging effects, and mental disorders.
- It describes how EEG signals are generated by the electrical activity of neurons in the brain and measured via electrodes on the scalp. Different brain wave frequencies (rhythms) can be identified in the EEG based on amplitude and frequency.
- Recording, measuring, and processing EEG signals requires electrodes, amplifiers, filters, and techniques like sampling to convert the analog signals to digital
The document summarizes the history and technical aspects of conventional EEG. It discusses how EEG works to detect and amplify the brain's electrical activity, which is measured using electrodes placed on the scalp. Different electrode placements and montages are used to view brain activity from various regions and perspectives. While imaging techniques now provide anatomical details, EEG remains clinically useful for evaluating brain function in various neurological disorders.
The document discusses sleep and the electroencephalogram (EEG). It describes the different stages of sleep including non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep. NREM sleep has 4 stages that progress from light to deep sleep as shown by changes in EEG patterns and waves like alpha, beta, theta, and delta waves. REM sleep is characterized by low amplitude, high frequency EEG similar to wakefulness along with physiological changes like eye movements and muscle paralysis. The neural and chemical bases of wakefulness and factors regulating the sleep-wake cycle are also covered.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Non invasive modalities of neurocognitive science used for brain mappingeSAT Journals
This document discusses various non-invasive modalities used for brain mapping in neurocognitive science. It describes electromagnetic techniques like EEG and MEG which measure brain's electromagnetic activity, and hemodynamic techniques like MRI, fMRI, PET and SPECT which record hemodynamic activity by detecting changes in blood flow and oxygen levels. These techniques are classified based on their measurement principles. The document provides details on the working mechanisms of EEG, MRI, fMRI and PET modalities. It explains how each modality is used to capture brain activity and images with varying spatial and temporal resolutions.
Feature Extraction Techniques and Classification Algorithms for EEG Signals t...Editor IJCATR
This document reviews techniques for extracting features and classifying EEG signals to detect human stress levels. It discusses EEG signals and how they can provide information about mental states. It also reviews common feature extraction methods like DCT and DWT that can preprocess EEG data by transforming it from the time to frequency domain. Classification algorithms like KNN, LDA, and Naive Bayes that can classify EEG data are also examined. The document proposes a system to use a Neurosky Mindwave EEG headset to record raw EEG signals, preprocess them with DWT, and classify stress levels using a combination of classifiers.
Technological innovations in neurology 1Sanjoy Sanyal
1. The document outlines various technological innovations used in neurology, including deep brain stimulation (DBS), vagus nerve stimulation (VNS), radiofrequency ablation, high-intensity focused ultrasound (HIFU), transcranial magnetic stimulation (TMS), and other devices.
2. DBS involves surgically implanting electrodes into the brain which are connected to a pulse generator to electrically stimulate areas of the brain involved in movement disorders. TMS uses magnetic fields to non-invasively stimulate areas of the brain from outside the skull.
3. HIFU is a non-invasive technique that uses focused ultrasound to heat and destroy targeted brain tissue, avoiding the risks of surgery. These technologies are used
Sleep specialists often conduct manual sleep stage scoring by visually inspecting the patient’s neurophysiological signals collected at sleep labs. This is a difficult, tedious and a time-consuming task. The limitations of manual sleep stage scoring have escalated the demand for developing Automatic Sleep Stage Classification (ASSC)
systems. Sleep stage classification refers to identifying the various stages of sleep and is a critical step in an effort to assist physicians in the diagnosis and treatment of related sleep disorders. In this paper, we propose a novel method and a practical approach to predicting early onsets of sleep syndromes utilizing the Twin Convolutional Model FTC2, including restless leg syndrome, insomnia, based on an algorithm which is comprised of two modules. A Fast Fourier Transform is applied to 30 seconds long epochs of EEG recordings to provide localized time-frequency information, and a deep convolutional LSTM neural network is trained for sleep stage classification. Automating sleep
stages detection from EEG data offers a great potential to tackling sleep irregularities on a daily basis. Thereby, a novel approach for sleep stage classification is proposed which combines the best of signal processing and statistics.
The document discusses sleep disorders and the measurement and stages of sleep. It provides details on:
1) How sleep is measured using EEG, EOG, and EMG electrodes to record brain waves, eye movements, and muscle activity.
2) The stages of sleep including NREM stages 1-4 and REM sleep, characterized by different brain wave patterns.
3) Common sleep disorders like insomnia, hypersomnia, sleep apnea, circadian rhythm disorders and parasomnias. Treatment options are also outlined.
The document discusses sleep disorders and how sleep is measured. It describes the stages of sleep including non-rapid eye movement sleep (NREM) and rapid eye movement sleep (REM). NREM sleep is divided into 4 stages characterized by different brain wave patterns. The cycles between NREM and REM sleep are important for rest. Common sleep disorders include primary insomnia, hypersomnia, narcolepsy, and sleep apnea. Insomnia involves difficulty initiating or maintaining sleep while hypersomnia involves excessive daytime sleepiness. Breathing-related disorders disrupt sleep through interrupted breathing.
Design and development of a method for detecting sleep roll-over counts usin...IJECEIAES
Sleep plays an important role as it helps human body to rejuvenate, boosts mental function and manage stress. Sleep is restorative function which enhances muscle growth, repairs tissues, maintains health and make physical appearance look or feel better. The lack of sleep in human body can increase the risk of diseases which are asthma, diabetes, depression. For healthy physiological function, sleep is essential and has strong relation to mental condition. Easy way of sleep management is considered for maintaining good mental health. Numerous scientists, doctors and researchers have proposed various ways to monitor sleep, some of those best tests are polysomnography test and actigraphy test. However, taking sleep test covering the whole body with wires and electrodes which is polysomnography test is uncomfortable for patients, and sensors used for different approaches like this are costly and often require overnight treatment and expert monitoring in clinics. Therefore, easy way of detecting roll-over movements which is convenient for patients to wear is proposed. Accelerometer ADXL335 sensor is taped on socks during sleep which is comfortable for patients to wear and do not cause any inconvenience during sleep. Algorithm is proposed to read the dataset and count the roll-over during the sleep based on threshold. Resulting the number of roll-over detected during a sleep period.
This document provides an overview of sleep disorders and sleep measurement tools. It describes the normal stages of sleep including rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep. Common sleep disorders like insomnia, sleep apnea, narcolepsy, and parasomnias are discussed. Tools for measuring sleep such as electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) are also summarized.
Physiology of sleep - medical information martinshaji
This document summarizes the physiology of sleep. It discusses how sleep is regulated by both homeostatic and circadian mechanisms in the brain. Sleep involves the suppression of arousal systems in the brain by sleep-promoting areas like the VLPO. NREM and REM sleep are controlled by different brain regions and neurotransmitters in a cyclical manner. Physiological changes in hormones like growth hormone, prolactin, cortisol and TSH occur across the sleep-wake cycle. Overall, sleep is an actively regulated, metabolically distinct state that impacts whole-body physiology and metabolism.
An Intelligent Sensing System for Sleep Motion and Stage Analysistoukaigi
This document describes an intelligent sensing system developed to analyze sleep motion and stages. The system uses a thermal infrared camera to detect body movement, a 3-electrode EEG device to determine sleep stages, and analysis algorithms. It provides 3 main types of results: (1) descriptions of sleep stages using Markov models and state duration statistics, (2) movement graphs over time, and (3) relationships between detected stages and motion, such as more movement occurring during transitions between stages. An empirical study with 2 subjects captured sensory recordings over multiple nights, demonstrating the system's ability to provide these results and its potential for in-home sleep monitoring.
The document discusses various topics related to sleep including sleep stages, brain waves during sleep, sleep disorders, effects of sleep on children, dreaming, and factors that influence sleep like drugs and diet. It notes that sleep involves alternating periods of REM and non-REM sleep. Non-REM sleep progresses from stages 1 to 3, then back to 2 before entering REM sleep. Brain waves measured during sleep include alpha, beta, theta, gamma and delta waves which correspond to different sleep stages. Common sleep disorders include insomnia, sleep apnea, narcolepsy and circadian rhythm disorders.
The document discusses sleep fundamentals including rest, sleep physiology, types of sleep, sleep cycles, sleep variations across age groups, and nursing interventions to promote sleep. It describes sleep as a state of relaxation and reduced perception, characterized by non-REM and REM sleep stages. Physiology involves electrophysiological, hormonal and neural processes. Nursing focuses on assessment, education, environmental factors and medications to enhance sleep.
The document discusses sleep physiology from three approaches - electrophysiologic, hormonal, and neural. It describes the two main types of sleep - non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep. NREM sleep is further divided into four stages. Nursing interventions to promote sleep include establishing sleep routines, ensuring a restful environment, providing comfort measures, and enhancing sleep with medications under certain conditions.
This pdf is about the differences between REM & NON REM Sleep.
For more details visit on YouTube; @SELF-EXPLANATORY;
REM & NON REM: https://youtu.be/h0vFuyZyKsM
Thanks...!
The outcome of this course is for the learner to describe the normal stages of sleep, common sleep measurement tools sleep characteristic, common sleep disorders, the changes that affect the quality and quantity of sleep as an individual ages, and methods the healthcare provider can use to assess and assist clients with sleep disorders.
- Most adults need 7-9 hours of sleep per night. Sleep has important biological functions including restoring homeostasis and physiological processes that occur in sleep cycles.
- Sleep is regulated by circadian rhythms controlled by the suprachiasmatic nucleus in the hypothalamus and influenced by environmental cues like light and dark cycles. Disruptions to circadian rhythms can cause issues like jet lag.
- Sleep deprivation negatively impacts cognitive performance and mood, with effects accumulating over time without sleep. However, studies have shown some ability of the brain to adapt to long-term sleep reductions.
This document summarizes key information about sleep and sleep disorders. It discusses how sleep is measured using EEG, EOG and EMG recordings. It describes the different types of brain waves seen on EEGs during sleep stages. The stages of sleep including non-REM sleep stages I-IV and REM sleep are outlined. Factors influencing sleep such as biological rhythms and neuroendocrine regulation are also summarized.
The document discusses theories about the functions of sleep. It suggests sleep may serve functions like immune function, muscle/organ function, toxin removal, energy replenishment, neural regeneration, learning and memory, and more. However, determining sleep's exact functions is challenging. The document outlines challenges like distinguishing functions from interactions and disentangling sleep from biological clocks. It discusses clues from development, molecular biology, and evolution to help understand sleep functions.
This document discusses dreams and sleep. It describes the stages of sleep including non-REM and REM sleep. Dreams occur in both non-REM and REM sleep, with REM sleep characterized by rapid eye movements. Lucid dreams occur in REM sleep where individuals are aware they are dreaming and can control dream events. REM sleep behavior disorder is a condition where individuals physically act out their dreams, which is associated with neurological diseases. Treatments for REM sleep behavior disorder include medications like clonazepam and melatonin.
The document discusses the neurology of sleep. It describes the two main types of sleep - NREM and REM sleep. NREM sleep involves synchronous cortical EEG, low muscle tone, and minimal dreaming. REM sleep is characterized by rapid eye movements, muscle atonia, and vivid dreaming. The document also discusses circadian rhythms and how the suprachiasmatic nucleus regulates sleep-wake cycles. Disruptions to circadian rhythms can lead to sleep disorders like jet lag.
This document discusses biology of sleep and dreams. It begins by noting that people sleep about 1/3 of their lives on average. It then discusses perspectives on dreaming from Sigmund Freud and how he was struck by how often clients described dreams. It provides background on Prof. Hani Hamed Dessoki and his expertise in psychiatry. The document then covers topics like stages of sleep, reasons for sleep and dreams, and theories about dreaming from a psychoanalytic and biological perspective.
Similar to IRJET-Sleep Disorder Detection by Welch Algorithm Based PSD Analysis on EEG Signals (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.