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
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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The Application of Computer Techniques to ECG Interpretation |
Autore | Macfarlane Peter |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (212 p.) |
Soggetto topico | Medicine |
Soggetto non controllato |
electrocardiographic imaging (ECGI)
heart failure (HF) cardiac resynchronization therapy (CRT) ultrasound strain speckle tracking echocardiography in silico electrophysiology electrocardiogram ECG cardiac disease arrhythmia ischemia standardization computerized ECG personalized medicine telemedicine digital ECG data interchange protocol eHealth ECG equipment computerized electrocardiograph ECG analysis algorithms computerized ECG interpretation interatrial block partial interatrial block advanced interatrial block atypical patterns electrocardiogram (ECG) automated ECG analysis CSE study age sex race historical aspects electronic cohort mortality big data telehealth alarm fatigue annotation of ECG data arrhythmia alarms intensive care unit patient monitoring ambulatory ECG machine learning deep learning pattern recognition noise reduction Holter ECG ECG interpretation artificial intelligence body surface mapping electrocardiographic imaging image processing clinical applications |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557613703321 |
Macfarlane Peter
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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