EEG-Based Experiment Design for Major Depressive Disorder
  • Author : Aamir Saeed Malik
  • Release Date : 15 June 2019
  • Publisher : Academic Press
  • Genre : Medical
  • Pages : 300
  • ISBN 13 : 012817420X

EEG-Based Experiment Design for Major Depressive Disorder Book Summary

EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for the 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 how to design a successful experiment, providing experimental designs for both clinical and behavioral applications. In addition, the book details the pathophysiology of several conditions, including depression, anxiety and epilepsy, along with neural circuits and detailed options for diagnosis. 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

EEG Based Experiment Design for Major Depressive Disorder

Author : Aamir Saeed Malik,Wajid Mumtaz
Publisher : Academic Press
Genre : Medical
Total View : 9325 Views
File Size : 46,7 Mb
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EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for the 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 ...

EEG Based Experiment Design for Major Depressive Disorder

EEG Based Experiment Design for Major Depressive Disorder

Author : Aamir Saeed Malik,Wajid Mumtaz
Publisher : Academic Press
Genre : Medical
Total View : 2489 Views
File Size : 42,7 Mb
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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 ...

Designing EEG Experiments for Studying the Brain

Designing EEG Experiments for Studying the Brain

Author : Aamir Saeed Malik,Hafeez Ullah Amin
Publisher : Academic Press
Genre : Medical
Total View : 3932 Views
File Size : 42,8 Mb
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Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those ...

Neural Information Processing

Neural Information Processing

Author : Sabri Arik,Tingwen Huang,Weng Kin Lai,Qingshan Liu
Publisher : Springer
Genre : Computers
Total View : 6805 Views
File Size : 52,7 Mb
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The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and ...

Brain Informatics and Health

Brain Informatics and Health

Author : Giorgio A. Ascoli,Michael Hawrylycz,Hesham Ali,Deepak Khazanchi,Yong Shi
Publisher : Springer
Genre : Computers
Total View : 3634 Views
File Size : 53,9 Mb
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This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2016, held in Omaha, USA, in October 2016. The 37 revised full papers, including two workshop papers from BAI 2016, presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections ...

Brain and Health Informatics

Brain and Health Informatics

Author : Kazayuki Imamura,Shiro Usui,Tomoaki Shirao,Takuji Kasamatsu,Lars Schwabe,Ning Zhong
Publisher : Springer
Genre : Computers
Total View : 5035 Views
File Size : 40,8 Mb
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This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2013, held in Maebashi, Japan, in October 2013. The 33 revised full papers presented together with 8 workshop papers and 12 special session papers were carefully reviewed and selected for inclusion in the book. The papers are organized in ...

Depression in Parents  Parenting  and Children

Depression in Parents Parenting and Children

Author : Institute of Medicine,National Research Council,Division of Behavioral and Social Sciences and Education,Board on Children, Youth, and Families,Committee on Depression, Parenting Practices, and the Healthy Development of Children
Publisher : National Academies Press
Genre : Medical
Total View : 1952 Views
File Size : 46,5 Mb
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Depression is a widespread condition affecting approximately 7.5 million parents in the U.S. each year and may be putting at least 15 million children at risk for adverse health outcomes. Based on evidentiary studies, major depression in either parent can interfere with parenting quality and increase the risk of children developing ...