Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 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 | ||
| ||
MEMS Accelerometers
| MEMS Accelerometers |
| Autore | Ngo Ha Duong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| 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 | 3-03897-415-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346853503321 |
|
Ngo Ha Duong
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||