Name: Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization (en Inglés)
SKU: 58538329
Price: 195.69 USD
Availability: InStock
Author: Greco, Alberto ; Valenza, Gaetano ; Scilingo, Enzo Pasquale
ISBN: 9783319835679

portada Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization (en Inglés)

Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization (en Inglés)

Formato

Libro Físico

Autor

Gaetano Valenza

Enzo Pasquale Scilingo

Alberto Greco

Editorial

Springer

Idioma

Inglés

N° páginas

138

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.9 cm

Peso

0.23 kg.

ISBN13

9783319835679

Categorías

Equipamiento y técnicas médicas
Ingeniería: general
Ingeniería electrónica

Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization (en Inglés)

Gaetano Valenza (Autor) · Enzo Pasquale Scilingo (Autor) · Alberto Greco (Autor) · Springer · Tapa Blanda

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Reseña del libro "Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization (en Inglés)"

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 dynamicsDeftly 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