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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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Gardado en:
Formato: Online
Idioma:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
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
Acceso en liña:ONIX_20210501_9783039433681_173
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