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Advances in Electrodermal Activity Processing with Applications for Mental Health

From Heuristic Methods to Convex Optimization de

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Éditeur :

Springer


Paru le : 2016-11-17

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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 patients
Pages
138 pages
Collection
n.c
Parution
2016-11-17
Marque
Springer
EAN papier
9783319467047
EAN PDF
9783319467054
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
3758 Ko
Prix
210,99 €
EAN EPUB
9783319467054
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
1792 Ko
Prix
210,99 €

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