000			03587nam a22003975i 4500
001			88198
003			ES-MaUEC
005			20230207040627.0
007			cr nn 008mamaa
008			161118s2016 gw | s |||| 0|eng d
020			_a9783319467054
024	7		_a10.1007/978-3-319-46705-4 _2doi
040			_aES-MaUEC
050		4	_aQP372 _b.G743 2016 EB
100	1		_aGreco, Alberto _932314 _0comprobar BNE20020091673
245	1	0	_aAdvances in electrodermal activity processing with applications for mental health : _bfrom heuristic methods to convex optimization _cby Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XVIII, 138 p.) _b51 ilustraciones, 22 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_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
520			_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
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aReflejos _9167302 _0comprobar BNE20062859813 _2embne
650		7	_aNeurofisiología _0comprobar BNE19912762456 _2embne _9144482
650		7	_aSistema nervioso vegetativo _0comprobar BNE19901047158 _2embne _9143725
700	1		_aValenza, Gaetano _9101729 _0Local
700	1		_aScilingo, Enzo Pasquale _9101730 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-46705-4zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319467054
907			_a.b12982027 _b10-10-17 _c08-03-17
998			_am _a_alco _a_vill _b30-06-17 _cm _dz _eb _feng _ggw _h0
945			_aQP372.9 .G743 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11603860 _z06-04-17
999			_c88198 _d88198 _x1