vbid/9783319467054

Description

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 patientsTypham this is the title: Advances in Electrodermal Activity Processing with Applications for Mental Health From Heuristic Methods to Convex Optimization