04661nam 22006615 450 991015186030332120200701224234.03-319-46705-010.1007/978-3-319-46705-4(CKB)3710000000952875(DE-He213)978-3-319-46705-4(MiAaPQ)EBC4745987(PPN)197141153(EXLCZ)99371000000095287520161118d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Electrodermal Activity Processing with Applications for Mental Health[electronic resource] From Heuristic Methods to Convex Optimization /by Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XVIII, 138 p. 51 illus., 22 illus. in color.)3-319-46704-2 Includes bibliographical references.1. 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.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 .Biomedical engineeringSignal processingImage processingSpeech processing systemsBioinformaticsNeurosciencesBiomedical Engineering/Biotechnologyhttps://scigraph.springernature.com/ontologies/product-market-codes/B24000Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Biomedical Engineering and Bioengineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T2700XComputational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Neuroscienceshttps://scigraph.springernature.com/ontologies/product-market-codes/B18006Biomedical engineering.Signal processing.Image processing.Speech processing systems.Bioinformatics.Neurosciences.Biomedical Engineering/Biotechnology.Signal, Image and Speech Processing.Biomedical Engineering and Bioengineering.Computational Biology/Bioinformatics.Neurosciences.610.28Greco Albertoauthttp://id.loc.gov/vocabulary/relators/aut483157Valenza Gaetanoauthttp://id.loc.gov/vocabulary/relators/autScilingo Enzo Pasqualeauthttp://id.loc.gov/vocabulary/relators/autBOOK9910151860303321Advances in Electrodermal Activity Processing with Applications for Mental Health2532361UNINA