TY - BOOK AU - Syed Abdul, Shabbir||Luque, Luis Fernandez||Garcia-Gomez, Juan Miguel||Garcia-Zapirain, Begoña||Hsueh, Pei-Yun TI - Data Analytics and Applications of the Wearable Sensors in Healthcare KW - 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||n/a UR - https://mdpi.com/books/pdfview/book/2395 ER -