By Alberto Greco, Gaetano Valenza, Enzo Pasquale Scilingo
This ebook explores Autonomic apprehensive approach (ANS) dynamics as investigated via Electrodermal task (EDA) processing. It provides groundbreaking study within the technical box of biomedical engineering, particularly biomedical sign processing, in addition to scientific fields of psychometrics, affective computing, and mental overview. This quantity describes essentially the most whole, powerful, and custom-made methodologies for extracting facts from a non-stationary, nonlinear EDA sign with a purpose to signify the affective and emotional nation of a human topic. those methodologies are underscored by way of dialogue of real-world purposes in temper evaluate. The textual content additionally examines the physiological bases of emotion popularity via noninvasive tracking of the autonomic fearful process. this can be a fantastic e-book for biomedical engineers, physiologists, neuroscientists, engineers, utilized mathmeticians, psychiatric and mental clinicians, and graduate scholars in those fields.
This ebook additionally:
Expertly introduces a singular procedure for EDA research according to convex optimization and sparsity, an issue of swiftly expanding curiosity
Authoritatively offers groundbreaking study completed utilizing EDA as an exemplary biomarker of ANS dynamics
Deftly explores EDA's power as a resource of trustworthy and powerful markers for the evaluate of emotional responses in fit matters, in addition to for the popularity of pathological temper states in bipolar patients
Read or Download Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization PDF
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Additional info for Advances in Electrodermal Activity Processing with Applications for Mental Health: From Heuristic Methods to Convex Optimization
The first LTI model for EDA analysis was presented by Alexander et al. . Their method allowed the estimation of the sudomotor nerve activity (SMNA) using a model where the SC is the result of a convolution between discrete bursting episodes of the SMNA and a biexponential impulse response function (IRF) assumed to be known a priori and time invariant. Benedek and Kaernbach criticized some aspects of Alexander’s model and developed two new models in which the LTI assumption was modified to take into account the variability in SCR shape.
A definition that partly reflects LeDoux’s theory describes them as a quick, automatic, and stereotyped response of the organism to a potentially significant stimulus to the survival of the individual or the species. Certain situations can be unpleasant or dangerous to the survival of every individual. For this reason it is necessary for the body to react as quickly and effectively as possible. For example, in a very dangerous situation we do not often have time to think, or rather the body must be prepared to react before we start thinking.
In this book, we first present a conventional modeling approach, the Continuous Deconvolution Analysis (CDA) , and a recently proposed model proposed by Greco et al. based on rigorous mathematical definitions: the convex optimization approach (cvxEDA). In the next chapters, performance of this model will be empirically evaluated and compared. , to decompose the skin conductance signal into its tonic and phasic driver data. It is based on an explicit biophysical model, and its parameters are optimised for each individual dataset.