EEG Based Experiment Design for Major Depressive Disorder

This book PDF is perfect for those who love Medical genre, written by Aamir Saeed Malik and published by Academic Press which was released on 16 May 2019 with total hardcover pages 254. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related EEG Based Experiment Design for Major Depressive Disorder books below.

EEG Based Experiment Design for Major Depressive Disorder
EEG Based Experiment Design for Major Depressive Disorder
Author : Aamir Saeed Malik
File Size : 54,6 Mb
Publisher : Academic Press
Language : English
Release Date : 16 May 2019
ISBN : 9780128174210
Pages : 254 pages
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EEG Based Experiment Design for Major Depressive Disorder by Aamir Saeed Malik Book PDF Summary

EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment. Written to assist in neuroscience experiment design using EEG Provides a step-by-step approach for designing clinical experiments using EEG Includes example datasets for affected individuals and healthy controls Lists inclusion and exclusion criteria to help identify experiment subjects Features appendices detailing subjective tests for screening patients Examines applications for personalized treatment decisions

EEG Based Experiment Design for Major Depressive Disorder

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EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details

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Designing EEG Experiments for Studying the Brain

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