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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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Entropy in Image Analysis / Amelia Carolina Sparavigna
| Entropy in Image Analysis / Amelia Carolina Sparavigna |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (456 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
keyframes
time-delay whale optimization algorithm multilevel thresholding multi-exposure image fusion additive manufacturing patch structure decomposition ultra-sound images 3D scanning Arimoto entropy contrast enhancement spatial filling factor depth maps image processing 3D prints differential evolution field of experts normalized divergence measure image privacy multiscale top-hat transform q-exponential texture information entropy diffusion hybrid algorithm Weibull statistics adaptive selection nonextensive entropy computer aided diagnostics fatty liver random forest DNA encoding low contrast entropy Minkowski island fuzzy entropy free-form deformations person re-identification chaotic system DNA computing pavement information entropy discrete entropy Tsallis statistics video skimming prime-indexed primes natural scene statistics (NSS) Hénon map q-sigmoid image entropy Shannon entropy macrotexture Shannon’s entropy binary image multi-feature fusion image analysis uncertainty assessment non-rigid registration hash layer Cantor set dynamic filtering deep neural network security analysis multiple-image encryption Hamming distance blind image quality assessment (BIQA) q-Gaussian remote sensing decay trend chaotic cryptography chaotic strategy cross-entropy loss random insertion metabolic syndrome sign languages generalized entropies relevance feedback image retrieval two-dimensional chaotic economic map cryptanalysis infrared images 3D Latin cube SHA-256 hash value gradient distributions structural entropy discrete cosine transform (DCT) chaotic map hepatic steatosis machine vision electromagnetic field optimization security image segmentation quantization loss colonoscopy video summarization permutation Kapur’s entropy surface quality assessment permutation-diffusion Ramanujan primes Rényi entropies chosen-plaintext attack image encryption dynamic index color image segmentation ultrasound Otsu method sigmoid reconstruction image information entropy 3-D digital imaging positron emission tomography medical imaging |
| ISBN |
9783039210930
3039210939 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845003321 |
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Sparavigna Amelia Carolina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multiscale Entropy Approaches and Their Applications
| Multiscale Entropy Approaches and Their Applications |
| Autore | Humeau-Heurtier Anne |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (446 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
aging
Alzheimer disease ambient temperature approximate entropy asynchrony bearing fault diagnosis biometric characterization brain complexity cardiac autonomic neuropathy cardiac risk stratification center of pressure clock drawing test complexity composite cross-sample entropy consolidation copula density corsi block tapping test coupling CPD Cramér-Rao Lower Bound cross-approximate entropy cross-conditional entropy cross-distribution entropy cross-entropy cross-fuzzy entropy cross-sample entropy default mode network dependency structures diabetes digit span test dynamic functional connectivity edge complexity EEG electrocardiogram electroencephalogram embodied media ensemble empirical mode decomposition entropy entropy rate episodic memory estimator variance eye movement events detection falls fault diagnosis financial time series finite-length signals Fisher ratio fluid intelligence fMRI functional near infra-red spectroscopy fuzzy entropy gait heart rate variability heart rate variability (HRV) heart sound HMSVM Holter HRV human behavior humanoid ICEEMDAN local robust principal component analysis long term monitoring magnetoencephalogram medical information memory effect mental workload missing values motif multi-component signal multi-scale multi-scale dispersion entropy multi-scale entropy multi-scale entropy (MSE) multi-scale permutation entropy multifractal spectrum multilevel entropy map multiscale analysis multiscale cross-entropy multiscale distribution entropy multiscale entropy multiscale indices Multiscale Permutation Entropy multiscale time irreversibility multivariate data multivariate multiscale dispersion entropy multivariate time series network complexity node complexity nonlinear analysis time series analysis nonlinear dynamics ordinal patterns page view PD permutation entropy physiological data postural control postural stability index predictability prefrontal cortex preterm neonate pulse interval RCMDE resting state resting-state functional magnetic resonance imaging RR interval sample entropy short-term inter-beat interval signal complexity sleep staging stability states structural health monitoring SVM systolic arterial pressure (SAP) systolic blood pressure tele-communication telemetry tensor decomposition thermoregulation time-scale decomposition variational mode decomposition vasopressin vector autoregressive fractionally integrated (VARFI) models Voronoi decomposition weak fault Wikipedia |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557629003321 |
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Humeau-Heurtier Anne
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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