Advances in Electrodermal Activity Processing with Applications for Mental Health

Advances in Electrodermal Activity Processing with Applications for Mental Health
Author :
Publisher : Springer
Total Pages : 148
Release :
ISBN-10 : 9783319467054
ISBN-13 : 3319467050
Rating : 4/5 (050 Downloads)

Book Synopsis Advances in Electrodermal Activity Processing with Applications for Mental Health by : Alberto Greco

Download or read book Advances in Electrodermal Activity Processing with Applications for Mental Health written by Alberto Greco and published by Springer. This book was released on 2016-11-17 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in the technical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields of psychometrics, affective computing, and psychological assessment. This volume describes some of the most complete, effective, and personalized methodologies for extracting data from a non-stationary, nonlinear EDA signal in order to characterize the affective and emotional state of a human subject. These methodologies are underscored by discussion of real-world applications in mood assessment. The text also examines the physiological bases of emotion recognition through noninvasive monitoring of the autonomic nervous system. This is an ideal book for biomedical engineers, physiologists, neuroscientists, engineers, applied mathmeticians, psychiatric and psychological clinicians, and graduate students in these fields. This book also: Expertly introduces a novel approach for EDA analysis based on convex optimization and sparsity, a topic of rapidly increasing interest Authoritatively presents groundbreaking research achieved using EDA as an exemplary biomarker of ANS dynamics Deftly explores EDA's potential as a source of reliable and effective markers for the assessment of emotional responses in healthy subjects, as well as for the recognition of pathological mood states in bipolar patients


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