Autonomic Nervous System Dynamics for Mood and by Gaetano Valenza, Enzo Pasquale Scilingo

By Gaetano Valenza, Enzo Pasquale Scilingo

This monograph reviews on advances within the dimension and examine of autonomic worried method (ANS) dynamics as a resource of trustworthy and powerful markers for temper country reputation and evaluation of emotional responses. Its fundamental influence may be in affective computing and the appliance of emotion-recognition structures. Applicative reports of biosignals equivalent to: electrocardiograms; electrodermal responses; breathing task; gaze issues; and pupil-size edition are lined intimately, and experimental effects clarify find out how to represent the elicited affective degrees and temper states pragmatically and competently utilizing the data hence extracted from the ANS. Nonlinear sign processing strategies play an important position in realizing the ANS body structure underlying superficially obvious adjustments and supply vital quantifiers of cardiovascular keep an eye on dynamics. those have prognostic price in either fit matters and sufferers with temper problems. in addition, Autonomic worried method Dynamics for temper and Emotional-State attractiveness proposes a singular probabilistic technique according to the point-process concept on the way to version and signify the instant ANS nonlinear dynamics supplying a starting place from which computing device “understanding” of emotional reaction might be more advantageous. utilizing arithmetic and sign processing, this paintings additionally contributes to pragmatic matters reminiscent of emotional and mood-state modeling, elicitation, and non-invasive ANS tracking. in the course of the textual content a severe assessment at the present state of the art is pronounced, resulting in the outline of devoted experimental protocols, novel and trustworthy temper types, and novel wearable platforms in a position to practice ANS tracking in a naturalistic surroundings. Biomedical engineers will locate this booklet of curiosity, specifically these fascinated by nonlinear research, as will researchers and business technicians constructing wearable platforms and sensors for ANS monitoring.

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Extra resources for Autonomic Nervous System Dynamics for Mood and Emotional-State Recognition: Significant Advances in Data Acquisition, Signal Processing and Classification

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First of all, this long-term illness may go undetected for years before it is diagnosed and treated. Secondly, bipolar patients are extremely heterogeneous with respect to the phenomenology and severity of the symptoms, the number and duration of the episodes, as well as the time interval between them. e. after remission from maniacal or depressive episodes), patients tend to experience sub-threshold mood alterations over time. In spite of the non-specific symptoms, currently the patient’s mood is typically assessed by clinician-administered rating scales.

The Bateman function is directly derived from bicompartment model of the diffusion process of the sweat through the sweat ducts (first compartment) and the stratum corneum (second compartment) [249]. Before applying the deconvolution analysis, EDR is filtered with a low pass zerophase forward and reverse digital filter [250, 251] with a cutoff frequency of 2 Hz, to limit the frequency bandwidth of the EDR signal. 2. software package for MATLAB [252]. 3 Feature Sets 51 Fig. 6 Example of decomposition analysis.

1007/978-3-319-02639-8_3, © Springer International Publishing Switzerland 2014 25 26 3 Data Acquisition phases: recruitment of eligible subjects; elicitation of emotional stimuli; acquisition of the physiological signal set. e. not suffering from both cardiovascular and evident mental pathologies, is recruited to participate in the experiment. Their age ranged from 21 to 24 and were naive to the purpose of the experiment. All participants were screened by Patient Health Questionnaire™ (PHQ) and only participants with a score lower than 5 were included in the study.

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