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Assessing Complexity in Physiological Systems through Biomedical Signals Analysis
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis
Autore Castiglioni Paolo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (296 p.)
Soggetto topico Mathematics & science
Research & information: general
Soggetto non controllato 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
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
refined composite multiscale entropy
rehabilitation medicine
relative consistency
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
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557601803321
Castiglioni Paolo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Criticality as a signature of healthy neural systems [[electronic resource] ] : multi-scale experimental and computational studies / / topic editors Paolo Massobrio, Lucilla de Arcangelis, Valentina Pasquale, Henrik J. Jensen and Dietmar Plenz
Criticality as a signature of healthy neural systems [[electronic resource] ] : multi-scale experimental and computational studies / / topic editors Paolo Massobrio, Lucilla de Arcangelis, Valentina Pasquale, Henrik J. Jensen and Dietmar Plenz
Autore Dietmar Plenz
Pubbl/distr/stampa Frontiers Media SA, 2015
Descrizione fisica 1 online resource (139 pages) : illustrations; digital, PDF file(s)
Collana Frontiers Research Topics
Frontiers in Systems Neuroscience
Soggetto topico Neurosciences
Nervous system
Neuroscience
Human Anatomy & Physiology
Health & Biological Sciences
Soggetto non controllato Computational models
in vitro
in vivo
network dynamics
self-organized criticality
neuronal avalanches
power law
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910137218803321
Dietmar Plenz  
Frontiers Media SA, 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui