Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at diﬀerent scales, and interconnections among systems through anatomical and functional networks, may originate comple...

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Detalhes bibliográficos
Formato:	Online
Idioma:	inglês
Publicado em:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:	autonomic nervous function heart rate variability (HRV) baroreflex sensitivity (BRS) photo-plethysmo-graphy (PPG) digital volume pulse (DVP) percussion entropy index (PEI) heart rate variability posture entropy complexity cognitive task sample entropy brain functional networks dynamic functional connectivity static functional connectivity K-means clustering algorithm fragmentation aging in human population factor analysis support vector machines classification Sampen cross-entropy autonomic nervous system heart rate blood pressure hypobaric hypoxia rehabilitation medicine labor fetal heart rate data compression complexity analysis nonlinear analysis preterm Alzheimer’s disease brain signals single-channel analysis biomarker refined composite multiscale entropy central autonomic network interconnectivity ECG ectopic beat baroreflex self-organized criticality vasovagal syncope Zipf’s law multifractality multiscale complexity detrended fluctuation analysis self-similarity sEMG approximate entropy fuzzy entropy fractal dimension recurrence quantification analysis correlation dimension largest Lyapunov exponent time series analysis relative consistency event-related de/synchronization motor imagery vector quantization information dynamics partial information decomposition conditional transfer entropy network physiology multivariate time series analysis State–space models vector autoregressive model penalized regression techniques linear prediction fNIRS brain dynamics mental arithmetics multiscale cardiovascular system brain information flow thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Acesso em linha:	ONIX_20210501_9783039433681_173
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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

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