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Data Analytics and Applications of the Wearable Sensors in Healthcare
| 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 online resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
accelerometer
accelerometers accidental falls actigraph actigraphy action research arm test activities of daily living activity monitoring activity recognition and monitoring artificial intelligence behaviour analysis biofeedback biomedical signal processing biomedical technology bispectrum body worn sensors calibration cameras citizen science classifier efficiency classifier optimization clothing sensors cluster analysis conductive gels cross correlation analysis data compression deep learning denoising disease prevention edge computing eHealth electrocardiogram embedded system encoding energy expenditure entropy exercise experiment exercise intervention exercise therapy fall detection feature extraction feature selection filtering algorithm free-living frequency-domain features functional decline Gaussian mixture model GENEactiv accelerometer genetic algorithm GIS GPS gyroscope health healthcare healthcare movement sensing heart failure (HF) heart rate heart rate variability heat stroke hemodialysis hidden Markov model human activity recognition human factors human movement impedance pneumography inertial measurement unit inertial measurement units integration IoT IoT wearable monitor latent features left ventricular ejection fraction (LVEF) longitudinal study LSTM machine learning machine learning for real-time applications magnetometer mechanocardiogram (MCG) MIMU mobile health monitoring motion motion sensors multivariate analysis musculoskeletal disorders myocardial ischemia n/a neural network non-contact sensor non-wearable sensors noncontact electrode occupational healthcare one-class classification optoelectronic plethysmography orientation-invariant sensing orthopedics P-Ergonomics pacemaker patient health and state monitoring pattern classification performance measures personal risk detection physical activity physical activity classification physical activity type physical workload physiological parameters posture analysis precision ergonomics predictive analytics principal component analysis probabilistic inference qualitative real-life real-world recurrent neural networks respiration rate respiratory monitoring sedentary behavior services signal analysis signal processing skill assessment smart clothes smart textiles spinal posture state space model supervised machine learning talking detection technology acceptance model (TAM) Telemedicine time-domain features upper extremity ventricular premature contraction walking wavelets wearable wearable biomedical sensors wearable device wearable devices wearable sensing wearable sensor wearable sensors wearable systems for healthcare wearables wellbeing at work wireless sensor network |
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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MEMS Accelerometers / Ibrahim (Abe) M. Elfadel, Ha Duong Ngo, Mahmoud Rasras
| MEMS Accelerometers / Ibrahim (Abe) M. Elfadel, Ha Duong Ngo, Mahmoud Rasras |
| Autore | Elfadel Ibrahim (Abe) M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
micromachining
turbulent kinetic energy dissipation rate microelectromechanical systems (MEMS) piezoresistive sensor chip WiFi-RSSI radio map step detection built-in self-test regularity of activity motion analysis gait analysis frequency acceleration MEMS accelerometer zero-velocity update rehabilitation assessment vacuum microelectronic dance classification Kerr noise MEMS micro machining MEMS sensors stereo visual-inertial odometry self-coaching miniaturization wavelet packet three-axis acceleration sensor MEMS-IMU accelerometer performance characterization electrostatic stiffness delaying mechanism three-axis accelerometer angular-rate sensing indoor positioning whispering-gallery-mode sensitivity heat convection multi-axis sensing L-shaped beam stride length estimation activity monitoring process optimization mismatch of parasitic capacitance electromechanical delta-sigma cathode tips array in situ self-testing high acceleration sensor deep learning marine environmental monitoring accelerometer fault tolerant hostile environment micro-electro-mechanical systems (MEMS) low-temperature co-fired ceramic (LTCC) classification of horse gaits Taguchi method interface ASIC capacitive transduction digital resonator safety and arming system inertial sensors MEMS technology sleep time duration detection field emission probe piezoresistive effect capacitive accelerometer auto-encoder MEMS-IMU body sensor network optical microresonator wireless hybrid integrated mode splitting |
| ISBN |
9783038974154
3038974153 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346853503321 |
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Elfadel Ibrahim (Abe) M
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||