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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Médium:	E-kniha
Jazyk:	English
Vydavateľské údaje:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Predmet:	aging in human population Alzheimer’s disease approximate entropy autonomic nervous function autonomic nervous system baroreflex baroreflex sensitivity (BRS) biomarker blood pressure brain brain dynamics brain functional networks brain signals cardiovascular system central autonomic network cognitive task complexity complexity analysis conditional transfer entropy correlation dimension cross-entropy data compression detrended fluctuation analysis digital volume pulse (DVP) dynamic functional connectivity ECG ectopic beat entropy event-related de/synchronization factor analysis fetal heart rate fNIRS fractal dimension fragmentation fuzzy entropy heart rate heart rate variability heart rate variability (HRV) hypobaric hypoxia information dynamics information flow interconnectivity K-means clustering algorithm labor largest Lyapunov exponent linear prediction Mathematics and Science mental arithmetics motor imagery multifractality multiscale multiscale complexity multivariate time series analysis network physiology nonlinear analysis partial information decomposition penalized regression techniques percussion entropy index (PEI) photo-plethysmo-graphy (PPG) posture preterm recurrence quantification analysis Reference, Information and Interdisciplinary subjects refined composite multiscale entropy rehabilitation medicine relative consistency Research and information: general Sampen sample entropy self-organized criticality self-similarity sEMG single-channel analysis State–space models static functional connectivity support vector machines classification time series analysis vasovagal syncope vector autoregressive model vector quantization Zipf’s law
ISBN:	9783039433698, 3039433695, 3039433687, 9783039433681
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