Electroencephalogram
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An EEG is a procedure that detects abnormalities in your brain waves, or in the electrical activity of your brain.
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Application of eeg wave
This document discusses two main applications of EEG waves: diagnosis of sleep disorders and brain-computer interfaces (BCIs). For sleep disorder diagnosis, EEG signals are analyzed to stage sleep and identify abnormalities. Statistical methods classify sleep stages over time. BCIs translate brain signals into commands, using visual evoked potentials from stimuli flickering at different frequencies to identify intended commands. Key issues discussed include reducing electrode numbers and optimizing frequency feature extraction from EEG signals to improve BCI accuracy and usability.
Biomedical Signals
The document provides an overview of commonly used biomedical signals for monitoring physiological processes and detecting pathological conditions. It discusses several key signals including the electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), electroretinogram (ERG), electrooculogram (EOG) and event-related potentials (ERPs). For each signal, it describes what physiological process is being measured, how the signal is recorded, its typical amplitude and bandwidth, main sources of interference and common applications. The document emphasizes that biomedical signals reflect the electrical, chemical and mechanical activities of cells, tissues and organs, and can provide important diagnostic information when analyzed.
EEG basics for mental health professionals
EEG basics for Mental Health Professionals provides an overview of EEG (electroencephalography). Some key points covered include:
- Hans Berger invented EEG in 1924 to study how the brain and mind interact with the outside world.
- EEG involves recording the spontaneous electrical activity generated by cortical neurons via electrodes placed on the scalp. These detect extracellular electrical fields from action potentials and synaptic activity.
- The international 10-20 system is commonly used for electrode placement. It allows recording of brain activity from different regions.
- EEG is used to examine background brainwave activity, symmetry between brain hemispheres, abnormal electrical discharges, and artifacts. This can provide information relevant to conditions like epilepsy,
Eeg(electroencephalogram)
An electroencephalogram (EEG) is a test that tracks and records brain wave patterns using small metal discs placed on the scalp. EEGs are used to detect problems with brain electrical activity and locate areas of damage. Brain waves are categorized into four main groups - beta, alpha, theta, and delta - based on their frequency. EEGs have various applications like monitoring alertness, locating seizures, and investigating sleep disorders. The EEG methodology involves non-invasive electrodes, amplifiers to strengthen microvolt signals, an analog to digital converter, and computer for storage and display.
Eeg from a to z
EEG INTRODUCTION, EEG HISTORY, EEG PROCEDURE, BRAIN WAVES, EEG ARTIFACT, EEG INDICATION, LIMITATION AND STRENGTH
Electroencephalogram(EEG)
Electroencephalography is the technique used to acquire electrical signals of brain through electrodes which are placed by certain montage. Different wave patterns can be observed which is useful in detecting any abnormal conditions or neurological brain disorders in human beings. There is broad future scope for medical research and creating EEG based equipments for real time applications.
Electroencephalography (EEG)
Introduction to EEG
Notes about EEG and Working
Notes about EEG Electrodes
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AJU REMESH (Ajumon R)
ajuremesh007@gmail.com
EEG signal background and real-time processing
This document discusses EEG signal background and real-time processing. It begins by describing different methods of measuring brain activity, including EEG. It then discusses the source of EEG signals and how they are generated by synaptic activity and summed across electrodes. The document outlines controlling alpha oscillations and using them in brain-computer interfaces. Finally, it discusses real-time processing and closed-loop systems, including buffering data, connecting different recording devices, and creating online analysis pipelines to generate control signals.
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Application of eeg wave
This document discusses two main applications of EEG waves: diagnosis of sleep disorders and brain-computer interfaces (BCIs). For sleep disorder diagnosis, EEG signals are analyzed to stage sleep and identify abnormalities. Statistical methods classify sleep stages over time. BCIs translate brain signals into commands, using visual evoked potentials from stimuli flickering at different frequencies to identify intended commands. Key issues discussed include reducing electrode numbers and optimizing frequency feature extraction from EEG signals to improve BCI accuracy and usability.
Biomedical Signals
The document provides an overview of commonly used biomedical signals for monitoring physiological processes and detecting pathological conditions. It discusses several key signals including the electrocardiogram (ECG), electroencephalogram (EEG), electromyogram (EMG), electroretinogram (ERG), electrooculogram (EOG) and event-related potentials (ERPs). For each signal, it describes what physiological process is being measured, how the signal is recorded, its typical amplitude and bandwidth, main sources of interference and common applications. The document emphasizes that biomedical signals reflect the electrical, chemical and mechanical activities of cells, tissues and organs, and can provide important diagnostic information when analyzed.
EEG basics for mental health professionals
EEG basics for Mental Health Professionals provides an overview of EEG (electroencephalography). Some key points covered include:
- Hans Berger invented EEG in 1924 to study how the brain and mind interact with the outside world.
- EEG involves recording the spontaneous electrical activity generated by cortical neurons via electrodes placed on the scalp. These detect extracellular electrical fields from action potentials and synaptic activity.
- The international 10-20 system is commonly used for electrode placement. It allows recording of brain activity from different regions.
- EEG is used to examine background brainwave activity, symmetry between brain hemispheres, abnormal electrical discharges, and artifacts. This can provide information relevant to conditions like epilepsy,
Eeg(electroencephalogram)
An electroencephalogram (EEG) is a test that tracks and records brain wave patterns using small metal discs placed on the scalp. EEGs are used to detect problems with brain electrical activity and locate areas of damage. Brain waves are categorized into four main groups - beta, alpha, theta, and delta - based on their frequency. EEGs have various applications like monitoring alertness, locating seizures, and investigating sleep disorders. The EEG methodology involves non-invasive electrodes, amplifiers to strengthen microvolt signals, an analog to digital converter, and computer for storage and display.
Eeg from a to z
EEG INTRODUCTION, EEG HISTORY, EEG PROCEDURE, BRAIN WAVES, EEG ARTIFACT, EEG INDICATION, LIMITATION AND STRENGTH
Electroencephalogram(EEG)
Electroencephalography is the technique used to acquire electrical signals of brain through electrodes which are placed by certain montage. Different wave patterns can be observed which is useful in detecting any abnormal conditions or neurological brain disorders in human beings. There is broad future scope for medical research and creating EEG based equipments for real time applications.
Electroencephalography (EEG)
Introduction to EEG
Notes about EEG and Working
Notes about EEG Electrodes
ppt By,
AJU REMESH (Ajumon R)
ajuremesh007@gmail.com
EEG signal background and real-time processing
This document discusses EEG signal background and real-time processing. It begins by describing different methods of measuring brain activity, including EEG. It then discusses the source of EEG signals and how they are generated by synaptic activity and summed across electrodes. The document outlines controlling alpha oscillations and using them in brain-computer interfaces. Finally, it discusses real-time processing and closed-loop systems, including buffering data, connecting different recording devices, and creating online analysis pipelines to generate control signals.
Electroenchephalography
This document provides a detailed overview of electroencephalography (EEG). Some key points:
- EEG was developed in the late 19th/early 20th century through studies of brain electrical activity in animals and humans. Hans Berger recorded the first human EEG in 1924.
- EEG uses electrodes placed on the scalp to detect electrical signals produced by neuron firing in the brain. It can identify abnormalities associated with conditions like epilepsy, tumors, strokes and encephalopathies.
- Quantitative EEG analysis allows measuring brain activity levels in different frequency bands to identify abnormalities in conditions like Alzheimer's, ADHD, autism, depression, OCD and schizophrenia.
EEG (ELECTROENCEPALOGRAM)
This slide has been prepared in detaied manner and will help you.
The topics covered are:-
1- introduction
2.circuit diagram and its explaination
3.working
4. features
5.advantages / disadvantages
6. the top vendors
Electroencephalography (eeg)
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Electrocorticography
This document provides information about electrocorticography (ECOG). It discusses:
1. The limitations of scalp EEG and advantages of ECOG for localizing epileptic activity, including its ability to record high-quality signals close to neuronal generators with minimal attenuation.
2. Types and uses of intraoperative and extraoperative ECOG. Indications for combining ECOG with functional mapping to guide epilepsy surgery near eloquent cortex.
3. Characteristics of ECOG recordings, such as common patterns associated with cortical dysplasia, and factors that can influence recordings like anesthesia, antiepileptic drug levels, and electrical stimulation.
A review of eeg recording techniques
The document discusses techniques for recording electroencephalograms (EEGs). It begins by describing the basics of neuronal cell structure and electrical activity in the brain. It then discusses the international 10-20 system for positioning EEG electrodes on the scalp. The document outlines the key components of an EEG recording system, including biopotential electrodes, signal conditioning equipment to amplify and filter signals, and systems for recording and analyzing the EEG data. It also provides circuit diagrams to illustrate differential amplifier designs used in EEG machines to reduce interference from common-mode signals.
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EEG
The document discusses electroencephalography (EEG), which measures the electrical activity of the brain using electrodes placed on the scalp. It describes brain anatomy, including the cerebrum, cerebellum, and brainstem. It also discusses the 10-20 international system for electrode placement on the scalp and the different types of brain waves that can be measured by EEG, including alpha, beta, theta, delta, and gamma waves. The document provides an overview of how EEG is used to record and analyze brain activity for applications such as epilepsy diagnosis, monitoring anesthesia and brain injury.
Electroencephalogram
The document discusses electroencephalography (EEG), which is a medical imaging technique that reads electrical activity in the brain using electrodes placed on the scalp. An EEG machine consists of electrodes, amplifiers, filters, and a recording unit. EEGs are used to diagnose epilepsy, monitor brain activity during anesthesia, and investigate sleep disorders. The document describes the components of an EEG machine and preparation of patients for EEG recording. It also explains the different types of brain waves - beta, alpha, theta, and delta - that are analyzed during EEG interpretation.
Electroencephalogram (eeg)
The nervous system receives millions of bits of sensory information per minute and integrates them to determine responses. The basic functional unit of the brain is neurons, which communicate via electrical signals. An electroencephalogram (EEG) records these electrical signals from the scalp using electrodes. During an EEG test, electrodes are placed on the scalp to detect brain waves which are displayed as wavy lines. EEGs can help diagnose conditions affecting brain function and electrical activity such as epilepsy, brain tumors, and sleep disorders.
1 basics of eeg and fundamentals of its measurement
The document discusses the basics of EEG and its measurement. It provides a timeline of EEG invention from 1875 to 1924. It describes how EEG signals are generated from neuronal structures and propagated through electrical signals. It explains how EEG is recorded using a modern EEG machine and electrode placement systems. It discusses filters, amplifiers, polarity conventions, montages, artifacts, and clinical applications of EEG for monitoring brain activity.
Eeg
The document discusses electroencephalography (EEG) and summarizes an experiment on EEG waveforms. Key points:
1. An EEG measures electrical activity in the brain using electrodes placed on the scalp. It can detect abnormalities and monitor brain states.
2. The experiment stimulated EEG patterns on a subject under different conditions like eyes open/closed, blinking, movement, talking and sleep.
3. The EEG recordings showed different waveform patterns and brain activations depending on the subject's activity level and state. This demonstrated how EEG can interpret brain activity in real-time.
EEG
This case study describes a 54-year-old woman with recurrent epithelial ovarian cancer who was undergoing chemotherapy. After her third round of ifosfamide treatment, she developed neurological symptoms. An electroencephalogram (EEG) detected frequent low-frequency periodic waves across both hemispheres, consistent with ifosfamide-induced encephalopathy. Her chemotherapy was stopped but her condition deteriorated further with worsening encephalopathy and acute kidney injury, and she ultimately passed away within a month.
EEG
An electroencephalogram (EEG) is a test that measures and records the electrical activity of the brain. It detects abnormal or unusual brain waves that can indicate seizures, tumors, strokes, head injuries, and other neurological conditions. An EEG involves placing electrodes on the scalp to detect electrical impulses from the brain which are then amplified, processed and recorded on a computer. Key components of an EEG include electrodes, electrode gel, filters to remove noise, and recording the brain waves in either a bipolar or unipolar montage.
Electroencephal ogram (eeg)
I prepared this content when i was in post graduation, i gone through with lot of website to make this content may this content will help to others i hope so...
ELECTROENCEPHALOGRAM/ ELECTROENCEPHALOGRAPHY
Hans Berger, a German psychiatrist, published the first paper on the human electroencephalogram (EEG) in 1924 after placing electrodes on the scalps of patients who had undergone brain surgery. An EEG detects and records the brain's electrical activity through electrodes attached to the scalp. It can help diagnose conditions like epilepsy, brain tumors, strokes, and sleep disorders. An EEG is a painless and safe test, but may cause minor scalp irritation in some cases. Proper preparation is important to get accurate results.
EEG
Electroencephalography (EEG) is a technique used to analyze neural activity in the brain. EEG measures electrical activity using electrodes placed on the scalp. It has several uses such as medical diagnosis and research. Some key points are:
- EEG was developed in the early 20th century and works by measuring voltage fluctuations resulting from ionic current flows in neurons.
- It has advantages like being noninvasive and having good temporal resolution, but disadvantages like having poor spatial resolution.
- EEG signals are classified by frequency into different wave types including alpha, beta, theta, delta, and gamma waves which correlate with different brain states.
- Applications include diagnosing brain disorders, brain-computer interfaces,
Electroencephalogram (EEG)
An EEG is used to analyze the brain's electrical activity and detect abnormalities. It involves placing electrodes on the scalp to detect brain waves, which are amplified and recorded. An EEG is performed to help diagnose conditions that affect brain function, such as seizures, tumors, or sleep disorders. It involves preparing the scalp, attaching electrodes, and recording brain activity during various tasks. The recording is interpreted by a neurologist to look for abnormal patterns associated with different conditions.
Eeg presentation
This document discusses an EEG-based brain-computer interface project. It provides background on EEG, including how it works, common frequency bands and their clinical significance. It then discusses the project, which involves assembling EEG hardware, developing software for EEG signal processing and interfacing it with a computer. The work done so far includes purchasing components, starting PCB assembly and researching relevant software. Future plans include developing code for EEG signal processing, relating the EEG to the computer, and testing the project.
Artifacts in EEG - Recognition and differentiation
This Presentation discusses the variously commonly seen artifacts in EEG, and how to recognize them. In EEG interpretation, it is often more important to identify an artifact than to identify true pathology. Once all the artifacts are ruled out, one is sure that what one is dealing with represents disease/abnormality
EEG presentation kassing:konold
The EEG (electroencephalogram) is a test that detects electrical activity in the brain using sensors placed along the scalp. It was one of the earliest brain imaging techniques, with the first human EEG recorded in 1924. During a typical EEG, electrodes are placed on the head according to the international 10-20 system and the brain's electrical activity is recorded as the patient performs various tasks like hyperventilating or having a light shone in their face. The EEG is noninvasive, portable, and able to detect changes in brain activity with good temporal resolution, though it has limited spatial resolution.
EEG Lecture- Introduction.pptx
EEG records electrical activity of the brain through electrodes placed on the scalp. The 10-20 system is commonly used for electrode placement. EEG signals are amplified and filtered before being displayed. Activation procedures like photic stimulation and hyperventilation are used to provoke seizures. Sleep deprivation and induction can also increase the diagnostic yield of EEG by altering brain activity. The visual analysis of EEG considers factors like waveforms, distribution, and reactivity to diagnose abnormalities.
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This document outlines an experiment to create photonic neurons using lasers. It discusses using vertical cavity surface emitting lasers (VCSELs) and injecting polarized light into one or two VCSELs. Results showed neuron-like behavior could be transferred from one VCSEL to another, building toward a photonic neural network. Dynamic injection into a two VCSEL system demonstrated ultrafast switching at gigahertz speeds, pointing to potential applications in computing and communications.
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Electroenchephalography
This document provides a detailed overview of electroencephalography (EEG). Some key points:
- EEG was developed in the late 19th/early 20th century through studies of brain electrical activity in animals and humans. Hans Berger recorded the first human EEG in 1924.
- EEG uses electrodes placed on the scalp to detect electrical signals produced by neuron firing in the brain. It can identify abnormalities associated with conditions like epilepsy, tumors, strokes and encephalopathies.
- Quantitative EEG analysis allows measuring brain activity levels in different frequency bands to identify abnormalities in conditions like Alzheimer's, ADHD, autism, depression, OCD and schizophrenia.
EEG (ELECTROENCEPALOGRAM)
This slide has been prepared in detaied manner and will help you.
The topics covered are:-
1- introduction
2.circuit diagram and its explaination
3.working
4. features
5.advantages / disadvantages
6. the top vendors
Electroencephalography (eeg)
Electroencephalography (eeg),electrical activity recorded via electrodes on the scalp,Neurophysiological Basis of EEG,Scalp EEG Recordings,Wearable EEG Devices,Recording EEG Signals,EEG Rhythms,
Electrocorticography
This document provides information about electrocorticography (ECOG). It discusses:
1. The limitations of scalp EEG and advantages of ECOG for localizing epileptic activity, including its ability to record high-quality signals close to neuronal generators with minimal attenuation.
2. Types and uses of intraoperative and extraoperative ECOG. Indications for combining ECOG with functional mapping to guide epilepsy surgery near eloquent cortex.
3. Characteristics of ECOG recordings, such as common patterns associated with cortical dysplasia, and factors that can influence recordings like anesthesia, antiepileptic drug levels, and electrical stimulation.
A review of eeg recording techniques
The document discusses techniques for recording electroencephalograms (EEGs). It begins by describing the basics of neuronal cell structure and electrical activity in the brain. It then discusses the international 10-20 system for positioning EEG electrodes on the scalp. The document outlines the key components of an EEG recording system, including biopotential electrodes, signal conditioning equipment to amplify and filter signals, and systems for recording and analyzing the EEG data. It also provides circuit diagrams to illustrate differential amplifier designs used in EEG machines to reduce interference from common-mode signals.
Brain pacemaker
Brain pacemakers is a medical device that is implanted into the brain to send electrical signals into the tissue. They are used to treat people who suffer from epilepsy, Parkinson's disease, major depression and other diseases. They have been working wonders with people who suffer from epilepsy, Parkinson’s disease, depression, and other diseases. With the placement of pacemakers in the brain, it may control or eliminate epileptic seizures with programmed or responsive stimulation. Also once the pacemaker is surgically put in the brain, electrical impulses are sent from the stimulator through the wires and into the brain. These impulses interfere with and block the electrical signals that cause disease symptoms. The electrical stimulation to the brain can also eliminate chronic depression if other treatments are not working. Pacemakers have, in a whole, improved the medical health field. New treatments, such as the deep brain stimulation for alzheimer's disease are being found.
EEG
The document discusses electroencephalography (EEG), which measures the electrical activity of the brain using electrodes placed on the scalp. It describes brain anatomy, including the cerebrum, cerebellum, and brainstem. It also discusses the 10-20 international system for electrode placement on the scalp and the different types of brain waves that can be measured by EEG, including alpha, beta, theta, delta, and gamma waves. The document provides an overview of how EEG is used to record and analyze brain activity for applications such as epilepsy diagnosis, monitoring anesthesia and brain injury.
Electroencephalogram
The document discusses electroencephalography (EEG), which is a medical imaging technique that reads electrical activity in the brain using electrodes placed on the scalp. An EEG machine consists of electrodes, amplifiers, filters, and a recording unit. EEGs are used to diagnose epilepsy, monitor brain activity during anesthesia, and investigate sleep disorders. The document describes the components of an EEG machine and preparation of patients for EEG recording. It also explains the different types of brain waves - beta, alpha, theta, and delta - that are analyzed during EEG interpretation.
Electroencephalogram (eeg)
The nervous system receives millions of bits of sensory information per minute and integrates them to determine responses. The basic functional unit of the brain is neurons, which communicate via electrical signals. An electroencephalogram (EEG) records these electrical signals from the scalp using electrodes. During an EEG test, electrodes are placed on the scalp to detect brain waves which are displayed as wavy lines. EEGs can help diagnose conditions affecting brain function and electrical activity such as epilepsy, brain tumors, and sleep disorders.
1 basics of eeg and fundamentals of its measurement
The document discusses the basics of EEG and its measurement. It provides a timeline of EEG invention from 1875 to 1924. It describes how EEG signals are generated from neuronal structures and propagated through electrical signals. It explains how EEG is recorded using a modern EEG machine and electrode placement systems. It discusses filters, amplifiers, polarity conventions, montages, artifacts, and clinical applications of EEG for monitoring brain activity.
Eeg
The document discusses electroencephalography (EEG) and summarizes an experiment on EEG waveforms. Key points:
1. An EEG measures electrical activity in the brain using electrodes placed on the scalp. It can detect abnormalities and monitor brain states.
2. The experiment stimulated EEG patterns on a subject under different conditions like eyes open/closed, blinking, movement, talking and sleep.
3. The EEG recordings showed different waveform patterns and brain activations depending on the subject's activity level and state. This demonstrated how EEG can interpret brain activity in real-time.
EEG
This case study describes a 54-year-old woman with recurrent epithelial ovarian cancer who was undergoing chemotherapy. After her third round of ifosfamide treatment, she developed neurological symptoms. An electroencephalogram (EEG) detected frequent low-frequency periodic waves across both hemispheres, consistent with ifosfamide-induced encephalopathy. Her chemotherapy was stopped but her condition deteriorated further with worsening encephalopathy and acute kidney injury, and she ultimately passed away within a month.
EEG
An electroencephalogram (EEG) is a test that measures and records the electrical activity of the brain. It detects abnormal or unusual brain waves that can indicate seizures, tumors, strokes, head injuries, and other neurological conditions. An EEG involves placing electrodes on the scalp to detect electrical impulses from the brain which are then amplified, processed and recorded on a computer. Key components of an EEG include electrodes, electrode gel, filters to remove noise, and recording the brain waves in either a bipolar or unipolar montage.
Electroencephal ogram (eeg)
I prepared this content when i was in post graduation, i gone through with lot of website to make this content may this content will help to others i hope so...
ELECTROENCEPHALOGRAM/ ELECTROENCEPHALOGRAPHY
Hans Berger, a German psychiatrist, published the first paper on the human electroencephalogram (EEG) in 1924 after placing electrodes on the scalps of patients who had undergone brain surgery. An EEG detects and records the brain's electrical activity through electrodes attached to the scalp. It can help diagnose conditions like epilepsy, brain tumors, strokes, and sleep disorders. An EEG is a painless and safe test, but may cause minor scalp irritation in some cases. Proper preparation is important to get accurate results.
EEG
Electroencephalography (EEG) is a technique used to analyze neural activity in the brain. EEG measures electrical activity using electrodes placed on the scalp. It has several uses such as medical diagnosis and research. Some key points are:
- EEG was developed in the early 20th century and works by measuring voltage fluctuations resulting from ionic current flows in neurons.
- It has advantages like being noninvasive and having good temporal resolution, but disadvantages like having poor spatial resolution.
- EEG signals are classified by frequency into different wave types including alpha, beta, theta, delta, and gamma waves which correlate with different brain states.
- Applications include diagnosing brain disorders, brain-computer interfaces,
Electroencephalogram (EEG)
An EEG is used to analyze the brain's electrical activity and detect abnormalities. It involves placing electrodes on the scalp to detect brain waves, which are amplified and recorded. An EEG is performed to help diagnose conditions that affect brain function, such as seizures, tumors, or sleep disorders. It involves preparing the scalp, attaching electrodes, and recording brain activity during various tasks. The recording is interpreted by a neurologist to look for abnormal patterns associated with different conditions.
Eeg presentation
This document discusses an EEG-based brain-computer interface project. It provides background on EEG, including how it works, common frequency bands and their clinical significance. It then discusses the project, which involves assembling EEG hardware, developing software for EEG signal processing and interfacing it with a computer. The work done so far includes purchasing components, starting PCB assembly and researching relevant software. Future plans include developing code for EEG signal processing, relating the EEG to the computer, and testing the project.
Artifacts in EEG - Recognition and differentiation
This Presentation discusses the variously commonly seen artifacts in EEG, and how to recognize them. In EEG interpretation, it is often more important to identify an artifact than to identify true pathology. Once all the artifacts are ruled out, one is sure that what one is dealing with represents disease/abnormality
EEG presentation kassing:konold
The EEG (electroencephalogram) is a test that detects electrical activity in the brain using sensors placed along the scalp. It was one of the earliest brain imaging techniques, with the first human EEG recorded in 1924. During a typical EEG, electrodes are placed on the head according to the international 10-20 system and the brain's electrical activity is recorded as the patient performs various tasks like hyperventilating or having a light shone in their face. The EEG is noninvasive, portable, and able to detect changes in brain activity with good temporal resolution, though it has limited spatial resolution.
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1 basics of eeg and fundamentals of its measurement
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Artifacts in EEG - Recognition and differentiation
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EEG Lecture- Introduction.pptx
EEG records electrical activity of the brain through electrodes placed on the scalp. The 10-20 system is commonly used for electrode placement. EEG signals are amplified and filtered before being displayed. Activation procedures like photic stimulation and hyperventilation are used to provoke seizures. Sleep deprivation and induction can also increase the diagnostic yield of EEG by altering brain activity. The visual analysis of EEG considers factors like waveforms, distribution, and reactivity to diagnose abnormalities.
Photonic Neurons: Spiking Information Processing with Lasers
This document outlines an experiment to create photonic neurons using lasers. It discusses using vertical cavity surface emitting lasers (VCSELs) and injecting polarized light into one or two VCSELs. Results showed neuron-like behavior could be transferred from one VCSEL to another, building toward a photonic neural network. Dynamic injection into a two VCSEL system demonstrated ultrafast switching at gigahertz speeds, pointing to potential applications in computing and communications.
Design of single channel portable eeg
In this paper designing of a battery operated portable single channel electroencephalography (EEG) signal acquisition system is presented. The advancement in the field of hardware and signal processing tools made possible the utilization of brain waves for the communication between humans and computers. The work presented in this paper can be said as a part of bigger task, whose purpose is to classify EEG signals belonging to a varied set of mental activities in a real time Brain Computer Interface (BCI). Keeping in mind the end goal is to research the possibility of utilizing diverse mental tasks as a wide correspondence channel in the middle of individuals and PCs. This work deals with EEG based BCI, intent on the designing of portable EEG signal acquisition system. The EEG signal acquisition system with a cut off frequency band of 1-100 Hz is designed by the use of integrated circuits such as low power instrumentation amplifier INA128P, high gain operational amplifiers LM358P. Initially the amplified EEG signals are digitized and transmitted to a PC by a data acquisition module NI DAQ (SCXI-1302). These transmitted signals are then viewed and stored in the LAB VIEW environment. From a varied set of experimental observation it can be said that the system can be implemented in the acquisition of EEG signals and can stores the data to a PC efficiently and the system would be of advantage to the use of EEG signal acquisition or even BCI application by adapting signal processing tools.
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The document provides information about EEG basics. It discusses:
1. EEG records spontaneous electrical activity generated by cortical neurons. The EEG machine has multiple channels that simultaneously record signals from electrode pairs.
2. EEG machines have three main components - the sensor layer with electrodes, the acquisition layer consisting of amplifiers, and the connectivity layer. Standard electrode placement uses the 10-20 system.
3. EEG signals are amplified, filtered, digitized and can be analyzed to detect abnormal electrical discharges that may indicate conditions like epilepsy. Features like amplitude, frequency, and symmetry are evaluated.
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This document summarizes a student project titled "Design and Implementation of Patient Monitoring System Using Steady State Visual Evoked Potential Signal(SSVEP) Based on Labview". The project involved:
1. Designing and implementing a brain-computer interface using SSVEP signals to allow communication for disabled individuals. Electrodes were placed on the visual cortex and subjects were shown visual stimuli at different frequencies.
2. Signal processing circuits including amplifiers and filters were designed and tested to extract the SSVEP frequencies from EEG signals.
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This document describes a brain-controlled robot system using EEG signals. The system uses EEG electrodes placed on the scalp to measure brain wave activity. Different patterns of brain waves can be translated into commands to control a mobile robot in real time. The goal is to develop a robot that can assist disabled people and allow them to move independently without physical movement. The system works by analyzing EEG signals through techniques like fast Fourier transforms to separate different brain wave frequencies associated with different mental states and intentions. This allows the user to think of commands to direct the robot's movement. The system aims to improve quality of life for people with disabilities.
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Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
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Chapter 6
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Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
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2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
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