现货 Eeg-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis[9780128174203]

1266 九五品

库存3件

上海宝山

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作者Malik, Aamir Saeed ; Mumtaz, Wajid

出版社Academic Press

ISBN9780128174203

出版时间2019-05

装帧平装

纸张其他

页数254页

正文语种英语

上书时间2023-04-12

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商品描述: 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.

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