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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis II

Most physiological systems behave like complex, adaptive structures. In physiology and medicine, this complexity reflects the capacity of living systems to maintain homeostasis while responding to internal and external challenges, arising from features such as fractal- and self-organization, nonline...

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Gardado en:
Autores corporativos: Castiglioni, Paolo, Faes, Luca, Valenza, Gaetano, Faini, Andrea
Formato: Livro
Idioma:Inglês
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2026
Assuntos:
thema EDItEUR::M Medicine and Nursing
Heart rate variability
Inhibitory control
Complexity index
Entropy
Multiscale entropy
Spinal cord injury
Posture
Autonomic nervous system
SampEn
FuzzyEn
DistEn
Visibility
Tachograms
K-M slope
Complex networks
Average degree
Average path length
Baroreflex
Blood pressure regulation
Cardiovascular dynamics
Homeostasis
Fractal
Self-organized criticality
Soccer
Zipf’s law
Fractal dimension
Box-counting
EEG
Parkinson’s disease
Neurodegeneration
Cardiovascular
Multifractality
DFA
Autonomic control
Heart–brain
Central autonomic network
Cognitive task
Detrended fluctuation analysis
Multifractal
Multiscale analysis
Cycling
Tetris
Multifractal cumulative function
Legendre spectrum
Electroencephalography (EEG)
Multi-entropy fusion
Brain rhythms
Single-channel
Emotion recognition
Schizophrenia
Electroencephalography
Higuchi fractal dimension
Neural complexity
Temporal dynamics
Spike train
Artificial neural networks
Biological neurons
Intermittency
Criticality
Tricriticality
Phase transitions
Stockwell transform
Stockwell entropy
Common spatial pattern
Parameterized PSD
Aperiodic component
Periodic component
Specific language impairment
Network physiology
Functional near-infrared spectroscopy
Power spectral density
Information dynamics
Time-resolved analysis
Time-varying autoregressive modeling
Recursive least-squares
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Acceso en liña:https://directory.doabooks.org/handle/20.500.12854/175397
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