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EEG-Based Experiment Design for Major Depressive Disorder Malik Mumtaz Paperback

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eBay item number:394788570146
Last updated on 05 Jun, 2024 06:51:47 AESTView all revisionsView all revisions

Item specifics

Condition
Brand new: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
BIC Subject Area 1
Neurosciences [PSAN]
BIC Subject Area 2
Science: general issues [PD]
ISBN
9780128174203
Publication Year
2019
Type
Textbook
Format
Paperback
Language
English
Publication Name
EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis
Item Height
229mm
Author
Wajid Mumtaz, Aamir Saeed Malik
Publisher
Elsevier Science Publishing Co INC International Concepts
Item Width
152mm
Subject
Psychology
Item Weight
450g
Number of Pages
254 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Elsevier Science Publishing Co INC International Concepts
ISBN-13
9780128174203
eBay Product ID (ePID)
3046598490

Product Key Features

Author
Wajid Mumtaz, Aamir Saeed Malik
Publication Name
EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis
Format
Paperback
Language
English
Subject
Psychology
Publication Year
2019
Type
Textbook
Number of Pages
254 Pages

Dimensions

Item Height
229mm
Item Width
152mm
Item Weight
450g

Additional Product Features

Title_Author
Aamir Saeed Malik, Wajid Mumtaz
Country/Region of Manufacture
United States

Item description from the seller

Business seller information

Value Added Tax number:
  • GB 428215114
freshlyprintedbooks

freshlyprintedbooks

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