Data Analytics and Applications of the Wearable Sensors in Healthcare |
Autore | Syed Abdul Shabbir |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (498 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Ischemic Heart Disease in the Context of Different Comorbidities |
Autore | Costache Irina-Iuliana |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (242 p.) |
Soggetto topico |
Medicine
Cardiovascular medicine |
Soggetto non controllato |
coronary artery disease
ischemic heart disease atherosclerosis genetic risk factors heritability polymorphism GWAS PRS COVID-19 myocardial ischemia electrocardiography accelerated atherosclerosis coronary spasm coronary thrombosis endothelial dysfunction cancer prevention radiotherapy chemotherapy liver cirrhosis prevalence liver transplantation treatment myocardial injury cytokines biomarkers heart failure left ventricular remodeling myocardial infarction wall stress inflammation neurohormonal activation inflammatory bowel disease ulcerative colitis Crohn's disease cardiovascular risk frailty chronic coronary syndrome elderly acute coronary syndrome carbon monoxide poisoning severity of poisoning cardiotoxicity troponin cardiac dysfunction non-alcoholic fatty liver disease liver-heart axis |
ISBN | 3-0365-5809-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637784603321 |
Costache Irina-Iuliana | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent Trends in Computational Research on Diseases |
Autore | Altaf-Ul-Amin Md |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (130 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
water temperature
bathing ECG heart rate variability quantitative analysis t-test hypertrophic cardiomyopathy data mining automated curation molecular mechanisms atrial fibrillation sudden cardiac death heart failure left ventricular outflow tract obstruction cardiac fibrosis myocardial ischemia compound-protein interaction Jamu machine learning drug discovery herbal medicine data augmentation deep learning ECG quality assessment drug-target interactions protein-protein interactions chronic diseases drug repurposing maximum flow adenosine methylation m6A RNA modification neuronal development genetic variation copy number variants disease-related traits sequential order association test blood pressure cuffless measurement longitudinal experiment plethysmograph nonlinear regression |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566465403321 |
Altaf-Ul-Amin Md | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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