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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 electronic resource (296 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557601803321 |
Castiglioni Paolo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Dietmar Plenz
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| Frontiers Media SA, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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