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Książka Advances in Electrodermal Activity Processing with Applications for Mental Health ALBERTO GRECO

Advances in Electrodermal Activity Processing with Applications for Mental Health

From Heuristic Methods to Convex Optimization

Autor: ALBERTO GRECO
Język: Angielski
Oprawa: Miękka
Wydawca: Springer International Publishing AG
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
862.66 zł
This book explores Autonomic Nervous System (ANS) dynamics as investigated through Electrodermal Act...

Informacje o książce

Autor
ALBERTO GRECO
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2018
strony
138
EAN
9783319835679
ISBN
9783319835679
Enbook ID
19784942
Wydawca
Springer International Publishing AG
Waga
2467
Wymiary
155 x 235 x 9

Pełny opis

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

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