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010   $a3-319-46705-0
024 7 $a10.1007/978-3-319-46705-4
035   $a(CKB)3710000000952875
035   $a(DE-He213)978-3-319-46705-4
035   $a(MiAaPQ)EBC4745987
035   $a(PPN)197141153
035   $a(EXLCZ)993710000000952875
100   $a20161118d2016      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvances in Electrodermal Activity Processing with Applications for Mental Health $eFrom Heuristic Methods to Convex Optimization /$fby Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016.
215   $a1 online resource (XVIII, 138 p. 51 illus., 22 illus. in color.)
311 08$a3-319-46704-2 
320   $aIncludes bibliographical references.
327   $a1. Electrodermal Phenomena and Recording Techniques -- 2. Modeling for the Analysis of the EDA -- 3. Evaluation of CDA and CvxEDA models -- 4. Emotions and Mood States: Modeling, Elicitation, and Recognition -- 5. Experimental Applications on Multi-Sensory Affective Stimulation -- 6. Conclusions.
330   $aThis 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 .
606   $aBiotechnology
606   $aSignal processing
606   $aBiomedical engineering
606   $aBioinformatics
606   $aNeurosciences
606   $aBiotechnology
606   $aSignal, Speech and Image Processing
606   $aBiomedical Engineering and Bioengineering
606   $aComputational and Systems Biology
606   $aNeuroscience
615  0$aBiotechnology.
615  0$aSignal processing.
615  0$aBiomedical engineering.
615  0$aBioinformatics.
615  0$aNeurosciences.
615 14$aBiotechnology.
615 24$aSignal, Speech and Image Processing.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aComputational and Systems Biology.
615 24$aNeuroscience.
676   $a610.28
700   $aGreco$b Alberto$4aut$4http://id.loc.gov/vocabulary/relators/aut$0483157
702   $aValenza$b Gaetano$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aScilingo$b Enzo Pasquale$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910151860303321
996   $aAdvances in Electrodermal Activity Processing with Applications for Mental Health$92532361
997   $aUNINA