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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
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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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Mathematical Modelling in Engineering & Human Behaviour 2018 / Luis Acedo Rodríguez, Lucas Jódar, Juan Carlos Cortés
| Mathematical Modelling in Engineering & Human Behaviour 2018 / Luis Acedo Rodríguez, Lucas Jódar, Juan Carlos Cortés |
| Autore | Rodríguez Luis Acedo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto non controllato |
uncertainty quantification
neutron diffusion equation discrete dynamical systems organisational risk computational efficiency AHP random power series order of convergence IPV multi-criteria decision-making random non-autonomous second order linear differential equation game of life immune system parameter estimation cytokines model stem cells Voynich Manuscript uncertainty modelling ode bottling process anti-torpedo decoy decision-making exponential polynomial Hidden Markov models systems of nonlinear equations iterative methods modified block Newton method mathematical linguistics DEMATEL convergence F-110 frigate Chikungunya disease nonlinear dynamical systems cellular automata mean square analytic solution basin of attraction violence index macrophages Markov chain Monte Carlo human behaviour block preconditioner generalized eigenvalue problem bone repair numerical simulations ASW Newton’s method independence index mathematical modeling brain dynamics |
| ISBN |
9783038978053
3038978051 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346670003321 |
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Rodríguez Luis Acedo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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