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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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Point-of-Care Detection Devices for Healthcare
| Point-of-Care Detection Devices for Healthcare |
| Autore | Cheng Chao-Min |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (154 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
acetoacetate
acetone Alzheimer's disease angiogenin antibiotic antimicrobial resistance beta-hydroxybutyrate blood burn blister fluid burn wound healing capillary action capillary-driven flow cBioPortal chemiluminescence coagulation computational biology decision making, computer-assisted decision support systems, clinical detections diabetes mellitus diabetic peripheral neuropathy (DPN) diagnosis electrocardiogram (ECG) gas chromatography-mass spectrometry (GC-MS) gold nanoparticles sensor hemostasis human breath IgG immuno-chromatographic immunoassay immunofluorescence ketone bodies lab-on-a-chip lateral flow assay malaria pan rapid diagnostic strip microfluidics molecular tumor board n/a neoplasms origami ELISA origami-based paper analytic device P-ELISA P-ELISA, point of care testing paper-based ELISA paraquat partial-thickness burn injury PCT percussion entropy index (PEI) pH value photoplethysmography (PPG) point of care point-of-care point-of-care diagnostics precision medicine procalcitonin requirements analysis ROTEM sepsis skin smartphone imaging TEG thromboelastography type 2 diabetes UV/Vis spectrophotometer VHA viscoelastic testing wound β-amyloid peptide |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557418503321 |
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Cheng Chao-Min
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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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