2 results on '"human movement"'
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2. Data Analytics and Applications of the Wearable Sensors in Healthcare.
- Author
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Syed Abdul, Shabbir, Garcia-Gomez, Juan Miguel, Garcia-Zapirain, Begoña, Hsueh, Pei-Yun, Luque, Luis Fernandez, and Syed Abdul, Shabbir
- Subjects
Humanities ,Social interaction ,GENEactiv accelerometer ,GIS ,GPS ,Gaussian mixture model ,IoT ,IoT wearable monitor ,LSTM ,MIMU ,P-Ergonomics ,Telemedicine ,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 ,eHealth ,edge computing ,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 ,genetic algorithm ,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 ,latent features ,left ventricular ejection fraction (LVEF) ,longitudinal study ,machine learning ,machine learning for real-time applications ,magnetometer ,mechanocardiogram (MCG) ,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 ,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) ,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 - Abstract
Summary: This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled "Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases" as a part of Sensors journal.
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