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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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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 electronic resource (154 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
sepsis
PCT procalcitonin immunoassay antibiotic chemiluminescence immunofluorescence origami-based paper analytic device origami ELISA IgG paraquat diabetes mellitus ketone bodies human breath acetone beta-hydroxybutyrate acetoacetate gas chromatography-mass spectrometry (GC-MS) type 2 diabetes diabetic peripheral neuropathy (DPN) electrocardiogram (ECG) photoplethysmography (PPG) percussion entropy index (PEI) decision making, computer-assisted decision support systems, clinical precision medicine computational biology molecular tumor board cBioPortal requirements analysis neoplasms pH value diagnosis skin wound blood coagulation hemostasis point of care ROTEM TEG thromboelastography VHA viscoelastic testing partial-thickness burn injury burn blister fluid P-ELISA angiogenin burn wound healing Alzheimer's disease β-amyloid peptide paper-based ELISA P-ELISA, point of care testing microfluidics point-of-care diagnostics antimicrobial resistance lab-on-a-chip capillary-driven flow capillary action detections smartphone imaging lateral flow assay immuno-chromatographic gold nanoparticles sensor UV/Vis spectrophotometer malaria pan rapid diagnostic strip point-of-care |
| 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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