By Alberto Greco,Gaetano Valenza,Enzo Pasquale Scilingo
This publication explores Autonomic worried approach (ANS) dynamics as investigated via Electrodermal task (EDA) processing. It offers groundbreaking examine in the technical box of biomedical engineering, specially biomedical sign processing, in addition to medical fields of psychometrics, affective computing, and mental evaluate. This volume describes probably the most entire, powerful, and custom-made methodologies for extracting information from a non-stationary, nonlinear EDA sign to be able to signify the affective and emotional nation of a human subject. These methodologies are underscored by way of dialogue of real-world functions in temper evaluation. The textual content additionally examines the physiological bases of emotion popularity via noninvasive monitoring of the autonomic worried system. This is a perfect ebook for biomedical engineers, physiologists, neuroscientists, engineers, utilized mathmeticians, psychiatric and mental clinicians, and graduate scholars in those fields.
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Deftly explores EDA's power as a resource of trustworthy and powerful markers for the evaluation of emotional responses in fit subjects, as good as for the popularity of pathological temper states in bipolar patients
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Extra info for Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization
Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization by Alberto Greco,Gaetano Valenza,Enzo Pasquale Scilingo