Uses of inexpensive, personal, commercially-available, and portable EEG devices for medical research. Testing of new drugs, patient-specific drug selection, monitoring of patient progress, augmentation of treatments (via neurofeedback), prediction of 'attacks' in mental illnesses (e.g. panic disorder), and better diagnoses of neurological disorders.
How Brain Activity Monitoring can Help Manage Asperger’s Syndromeandfaulkner
Using electroencephalography (a neuroimaging technique) to track mood, anxiety, stimulation level, cognitive functioning, concentration, and stress. Using feedback based on information provided by brain data (neurofeedback) to recommend therapies for Asperger's. Training and improving coping responses to states of overstimulation in Asperger's using neurofeedback-assisted mindfulness meditation. Sharing of self-collected brain data with medical professionals to improve Asperger's treatment.
Development of portable eeg for treatment & diagnosis of disordersandfaulkner
The development of inexpensive mobile EEG (a type of neuroimaging) devices for the treatment and diagnosis of mental and neurological disorders. Potential uses: 1) long-term brain-activity based tracking of mood, anxiety, and concentration levels, 2) prediction of seizures and strokes; 3) portable 'neurofeedback' therapies: exercises that provide methods to change internal states for the positive, based on EEG readings of neural activity; 4) improving sleep via monitoring; 5) research on "real-world" brain data; 6)etc...
Let’s master the digital toolkit to harness lifelong neuroplasticitySharpBrains
Four leading pioneers of applied neuroplasticity helped us navigate best practices to harness most promising non-invasive neurotechnologies, such as cognitive training, mindfulness apps, EEG and virtual/ augmented reality.
--Chair: Linda Raines, CEO of the Mental Health Association of Maryland
--Dr. Michael Merzenich, winner of the 2016 Kavli Prize in Neuroscience
--Dr. Judson Brewer, Founder & Research Lead of Claritas Mindsciences
--Tan Le, CEO of Emotiv
--Dr. Andrea Serino, Head of Neuroscience at MindMaze
Learn more at sharpbrains.com
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
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
How Brain Activity Monitoring can Help Manage Asperger’s Syndromeandfaulkner
Using electroencephalography (a neuroimaging technique) to track mood, anxiety, stimulation level, cognitive functioning, concentration, and stress. Using feedback based on information provided by brain data (neurofeedback) to recommend therapies for Asperger's. Training and improving coping responses to states of overstimulation in Asperger's using neurofeedback-assisted mindfulness meditation. Sharing of self-collected brain data with medical professionals to improve Asperger's treatment.
Development of portable eeg for treatment & diagnosis of disordersandfaulkner
The development of inexpensive mobile EEG (a type of neuroimaging) devices for the treatment and diagnosis of mental and neurological disorders. Potential uses: 1) long-term brain-activity based tracking of mood, anxiety, and concentration levels, 2) prediction of seizures and strokes; 3) portable 'neurofeedback' therapies: exercises that provide methods to change internal states for the positive, based on EEG readings of neural activity; 4) improving sleep via monitoring; 5) research on "real-world" brain data; 6)etc...
Let’s master the digital toolkit to harness lifelong neuroplasticitySharpBrains
Four leading pioneers of applied neuroplasticity helped us navigate best practices to harness most promising non-invasive neurotechnologies, such as cognitive training, mindfulness apps, EEG and virtual/ augmented reality.
--Chair: Linda Raines, CEO of the Mental Health Association of Maryland
--Dr. Michael Merzenich, winner of the 2016 Kavli Prize in Neuroscience
--Dr. Judson Brewer, Founder & Research Lead of Claritas Mindsciences
--Tan Le, CEO of Emotiv
--Dr. Andrea Serino, Head of Neuroscience at MindMaze
Learn more at sharpbrains.com
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
Teaching Techniques: Neurotechnologies the way of the future (Stotler, 2019)Jacob Stotler
Presenting alternative to drugs from nuerotechnologies and teaching about clinical use of neurothreapy and therapeutic effectiveness of biological aspects of the use of clinical technologies.
Analysis of emotion disorders based on EEG signals ofHuman BrainIJCSEA Journal
In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
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/
Brain Computer Interface for User Recognition And Smart Home ControlIJTET Journal
This project discussed about a brain controlled biometric based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a biometric technology can be controlled. The intention of the project work is to develop a user recognition machine that can assist the work independent on others. Here, we are analyzing the brain wave signals. Human brain consists of millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. Then the control commands will be transmitted to the robotic module to process. With this entire system, we can operate the home application according to the human thoughts and it can be turned by blink muscle contraction.
Review Paper on Brain-Computer Interface and Recent TrendsEditor IJMTER
Although the development in computer hardware and software has been enormous in
recent decades, but the development in Human-computer interface (HCI) has been very slow but
discontinuous. From punch cards, text console, mouse to recently introduced gesture and voice
controls the development is enormous, the recent addition to this is Brain computer interface (BCI).
BCI makes uses of changes in brain and Electrical activity of brain to certain actions/thought
processes and uses algorithms to interpret the intention of the user, and reports the same to computer.
This paper focuses to review this area of HCI and demystify the techniques and concepts used and
also give a short report on recent development and research on the same .This technique of BCI not
only would be helpful for disabled to gain new strength but also would change the way we interact
with machine...FOREVER
Analysis of emotion disorders based on EEG signals ofHuman BrainIJCSEA Journal
In this research, the emotions and the patterns of EEG signals of human brain are studied. The aim of this research is to study the analysis of the changes in the brain signals in the domain of different emotions. The observations can be analysed for its utility in the diagnosis of psychosomatic disorders like anxiety and depression in economical way with higher precision.
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
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/
Brain Computer Interface for User Recognition And Smart Home ControlIJTET Journal
This project discussed about a brain controlled biometric based on Brain–computer interfaces (BCI). BCIs are systems that can bypass conventional channels of communication (i.e., muscles and thoughts) to provide direct communication and control between the human brain and physical devices by translating different patterns of brain activity into commands in real time. With these commands a biometric technology can be controlled. The intention of the project work is to develop a user recognition machine that can assist the work independent on others. Here, we are analyzing the brain wave signals. Human brain consists of millions of interconnected neurons. The patterns of interaction between these neurons are represented as thoughts and emotional states. According to the human thoughts, this pattern will be changing which in turn produce different electrical waves. A muscle contraction will also generate a unique electrical signal. All these electrical waves will be sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process the signal using Mat lab platform. Then the control commands will be transmitted to the robotic module to process. With this entire system, we can operate the home application according to the human thoughts and it can be turned by blink muscle contraction.
Review Paper on Brain-Computer Interface and Recent TrendsEditor IJMTER
Although the development in computer hardware and software has been enormous in
recent decades, but the development in Human-computer interface (HCI) has been very slow but
discontinuous. From punch cards, text console, mouse to recently introduced gesture and voice
controls the development is enormous, the recent addition to this is Brain computer interface (BCI).
BCI makes uses of changes in brain and Electrical activity of brain to certain actions/thought
processes and uses algorithms to interpret the intention of the user, and reports the same to computer.
This paper focuses to review this area of HCI and demystify the techniques and concepts used and
also give a short report on recent development and research on the same .This technique of BCI not
only would be helpful for disabled to gain new strength but also would change the way we interact
with machine...FOREVER
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.
웨어러블 디바이스 Zeo의 실패에서 배우는: 성공적인 헬스케어 서비스의 조건Yoon Sup Choi
얼마전 SK UX 포럼에서 제가 발표한 자료입니다. 수면 웨어러블 디바이스 Zeo 는 당시 '파괴적 혁신 기술' 이었을 뿐만 아니라, Quantified Self 운동 지지자들에게 열렬한 사랑을 받는 기기였습니다. 하지만, Zeo는 결국 실패하고 역사의 뒤안길로 사라지고 말았습니다. Zeo는 왜 실패했을까요? 이번 발표에서는 이 Zeo의 실패 사례를 바탕으로, 성공적인 헬스케어-IT 서비스를 만들기 위해서는 무엇이 필요한지에 대해 살펴보았습니다.
Zeo의 사례에 대해서는 제 블로그 포스팅에서 더 자세히 보실 수 있습니다: http://www.yoonsupchoi.com/2014/02/08/learning_from_the_failure_of_zeo-1/
Clinical Diagnosis of Parkinson’s disease [PD] leads to errors, excessive medical costs, and provide
insufficient services to the patients. There is no particular method or a test to detect the PD. The diagnosis
of the Parkinson’s disease needs an accurate detection. Computer Aided Diagnosis (CAD) gives accurate
results to detect the PD. These CAD can be embedded into a real time application for the early diagnosis of
PD. Dopamine nerve terminals can be reduced in the brain parts such as Substantia nigra, Striatum, and
other brain structures. This reduction which will lead to Parkinson’s disease. Dopamine Reduction gets
automatically diagnosed by CAD and PD/normal patients can be found. For this, machine learning system
(MLS)/CAD can be trained with the help of Artificial Neural Networks (ANN). Image processing techniques
that are available to detect PD using MLS/CAD gets discussed in this paper.
Hans Jürgen-Current situation and future perspetives of antipsychotics in sch...Fundación Ramón Areces
'Psiquiatría: situación actual y perspectivas de futuro'. Este es el título del simposio internacional que organizamos el 16 de junio de 2016 en la Fundación Ramón Areces con las fundaciones Juan José López-Ibor y Lilly en homenaje al doctor Juan José López-Ibor, fallecido en enero de 2015. Durante esta jornada, expertos internacionales abordaráon la profunda crisis que atraviesa la psiquiatría como disciplina científica y especialidad médica. Además, a las 19.00 horas, se presentará el libro con el mismo título del simposio, también en recuerdo del doctor López-Ibor.
Few list of neuropsychiatric disordersSanityPharma
The neuropsychiatric disorders enhance widely if not cared for properly. A few of the neuropsychiatric disorders which should be taken care of are included here.
Abstract
Brain-derived neurotrophic factor (BDNF), a dimeric protein found throughout the brain, promotes the survival of nerve cells by playing a role in the growth, maturation, and maintenance of cells [1]. Along with supporting the survival of existing neurons, BDNF encourages differentiation and growth of new neurons and synapses [2,3]. In the brain the hippocampus, cortex, and basal forebrain, which are vital to learning, memory, and higher thinking, are all locations where BDNF is active [4]. A number of stimuli have been found to increase BDNF gene regulation including light in the visual cortex, osmotic in the hypothalamus, electrical in the hippocampus, and exercise in the hippocampus [5].
Peripheral neuropathy is a common condition, encountered by physicians as well as neurologists. However, a large number of challenges remain. These include difficulty in diagnosing, delay in diagnosis, investigations and lack of effective treatments. This presentation discusses these unmet needs and provides suggestions to overcome them.
Immunotherapy for Parkinson's Disease SAKEEL AHMED
This Slides Discussed all the immunotherapy for Parkinson's Disease which are in Pre-clinical and clinical trials.
It includes both Passive and Active Immunotherapy for PD. PD is the second most common Neurodegenerative disorder after AD.
Presented at a conference of Bangladesh Association of Child and Adolescent Mental Health (BACAMH) in Bangabandhu Sheikh Medical University, BSMMU at Dhaka, Bangladesh to aware Health professionals of Neurofeedback.
Presented at a Bangladesh Child and Adolescent Mental Health (BACAMH) Conference at Bangabandhu Sheikh Medical University(BSMMU), Dahaka, Bangladesh to inform Health Professionals about Neurofeedbackand its therapeutic importance.
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...Fundación Ramón Areces
'Psiquiatría: situación actual y perspectivas de futuro'. Este es el título del simposio internacional que organizamos el 20 de junio de 2016 en la Fundación Ramón Areces con las fundaciones Juan José López-Ibor y Lilly en homenaje al doctor Juan José López-Ibor, fallecido en enero de 2015. Durante esta jornada, expertos internacionales abordaron la profunda crisis que atraviesa la psiquiatría como disciplina científica y especialidad médica. Además, se presentó el libro con el mismo título del simposio, también en recuerdo del doctor López-Ibor.
POWER SPECTRAL ANALYSIS OF EEG AS A POTENTIAL MARKER IN THE DIAGNOSIS OF SPAS...ijbesjournal
The detection and diagnosis of various neurological disorders are performed using different medical
devices among which electroencephalogram (EEG) is one of the most cost effective technique. Though
significant progress had been made in the analysis of EEG for diagnosis of different neurological
disorders, yet detection of cerebral palsy (CP) is not quite clear. This study was performed to analyze the
EEG power spectrum density (PSD) of spastic CP and normal children to find if any significant EEG
patterns could be used for early detection of CP. Twenty children participated in this study out of which ten
were spastic CP and other ten were normal healthy children. EEG of all the participants was recorded
from C3 C4 and F3 F4 regions following montage 10-20 system. The artifact-free EEG signals of 15
minutes duration was extracted for spectral analysis using Fast Fourier Transformation (FFT) algorithm
in MATLAB and power density spectrum (PSD) was plotted. The PSD revealed high intensity power peak
at frequency of 50Hz and smaller at 100 Hz, which was consistent for all healthy subjects. In case of
spastic CP children, high intensity peak at 100Hz were prominent and smaller peak was observed at 50Hz.
The high intensity 100Hz peak observed in the PSD of spastic CP patients demonstrated that this tool can
be used for early detection of spastic CP.
Deep brain stimulation (DBS)/Brain pacemaker has evolved as an important and established treatment modality for variety of advanced movement disorders and also for some psychiatry disorders.1Chronic DBS stimulation provides a non destructive and reversible means of disturbing the abnormal function of basal ganglia circuit. It can be adjusted as disease progresses or adverse event occur. Bilateral stimulation can be performed without a significant increase inadverse effects.Adverse events related to unintended stimulation of adjacent structures are readily reversible by altering the stimulus parameters.
Biomedical Autism Treatment - Yes, it Could Help Your Autistic Child!NP Karthikeyen
DOAST (Doctrine Oriented Art of Symbiotic Treatment), an integrated therapy centre for autism, Chennai is one of the best autism treatment centre in India, provides best solution for autistic children by improving their behaviour and cognition through integrated therapy. For more details,visit: http://www.autism-ent-specialist-chennai.com
Similar to Medical and pharmaceutical applications of mobile EEG (brain scanning) (20)
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
6. PND technologies: Amygdala
Backend for non-game
mobile EEG software
Streamlines mobile EEG
development
Algorithms, built-in GUIs,
links to BackupBrain, etc.
11/2/2012
6
9. Introspect
Detects: (e.g.)
Mood
Anxiety
Stress
Acute cognitive
functioning
Sleep quality Example waveforms
linked to mental states
Concentration
Pain „unpleasantness‟
10. Introspect
Detects problem areas
Built-in neurofeedback exercises to
improve specific areas
PND neurofeedback game:
11/2/2012 psych showdown 10
11. Neurofeedback
Training to directly
alter EEG output
Mindfulness-based
Meditation
Effective treatment
ADHD
depression
Anxiety
etc.
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12. PND: Pharmaceutical uses
Based on adaptations of Introspect
Introspect malleable for
Research
Diagnostics
Treatment
Etc.
13. PND: Pharmaceutical uses
1) New drug testing
mobile real-time drug efficacy monitoring
E.g. observe mood in brain over time
14. PND: Pharmaceutical uses
2) Aid patient-specific
drug selection
EEG patterns linked to
disorder etiologies
Help hospital funding
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15. PND: Pharmaceutical uses
3) Monitor patient progress
Ensure continued symptom
control
Change treatments as
needed
Example mood and anxiety chart
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22. References
• Caat, M. T., Lorist, M. M., Bezdan, E., Roerdink, J. B., & Mauritis, N. M. (2008). High-Density EEG Coherence Analysis Using
Functional Units Applied to Mental Fatigue. Journal of Neuroscience Methods, 17, pp. 271-278.
• Nuwer, M,, et al, (2005). Routine and Quantitative EEG in Mild Traumatic Brain Injury; Clinical Neurophysiology, 116.
• Thatcher, R.W., Camacho, M,, Salazar, A, Linden, C., Biver, C. and Clarke, L.: Quantitative MRI of Gray-White Matter
Distribution in Traumatic Brain Injury. Journal of Neurotrauma, Volume 14, No. 1, 1-14, 1997
• Thatcher, R.W., Moore, N, John, E.R., et al.: QEEG and Traumatic Brain Injury: Rebuttal of the American Academy of
Neurology 1997. A Report by the EEG and Clinical Neuroscience Society, Clinical Electroencephalography, 30(3): 94-98,
1999
• Khodayari-Rostamabad, A., Hasey, G. M., Maccrimmon, D. J., Reilly, J. P., & de Bruin, H. (2010). A pilot study to
determine whether machine learning methodologies using pre-treatment electroencephalography can predict the
symptomatic response to clozapine therapy. Clinical Neurophysiology, 121(12), 1998–2006
• Baskaran, A., Milev, R., & McIntyre, R. S. (2012). The neurobiology of the EEG biomarker as a predictor of treatment
response in depression. Neuropharmacology, 63(4), 507–13
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• Kouijzer, M., et al. (2009). Neurofeedback Treatment for Autism Spectrum Disorders: Scientific Found- ations and
Clinical Practice. Autism Spectrum Disorders – From Genes to Environment (p. 101–122)
More available on request
Editor's Notes
gamification designers, graphic designersBased out of both san jose and ottawa, linked to Neurosky