Advances in Electrodermal Activity Processing with Applications for Mental Health

This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Activity (EDA) processing. It presents groundbreaking research in thetechnical field of biomedical engineering, especially biomedical signal processing, as well as clinical fields ofpsychometrics, affective computing, and psychological assessment. This volumedescribes 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 noninvasivemonitoring of the autonomic nervous system.This is an ideal book forbiomedical 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 exemplarybiomarker of ANS dynamics Deftly exploresEDA'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