Assessing Complexity in Physiological Systems through Biomedical Signals Analysis

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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Библиографические подробности
Другие авторы: Castiglioni, Paolo (Редактор), Faes, Luca (Редактор), Valenza, Gaetano (Редактор)
Формат: Глава книги
Опубликовано: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Предметы:
Research & information: general
Mathematics & science
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
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