Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures

• Andere auteurs: de Fátima Domingues, Maria (Redacteur), Sciarrone, Andrea (Redacteur), Radwan, Ayman (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Onderwerpen: Technology: general issues; History of engineering & technology; fog computing; cloud computing; e-health; healthcare; Internet of Things; paddle stroke analysis; motion reconstruction; inertial sensor; data fusion; body sensor network; gait analysis; gyroscope; information fusion; hidden Markov model; human activity recognition; out of distribution; anomaly detection; open set classification; physiotherapy; inertial sensors; smart watch; rehabilitation; machine learning; COPD; wearable sensors; SenseWear Armband; physical activity; weekday-to-weekend; energy expenditure; stress; wearable device; heart rate variability; electrocardiogram; scapula neuromuscular activity and control; rotator cuff related pain syndrome; anterior shoulder instability; scapular dyskinesis; electromyographic biofeedback; cardio-respiratory monitoring; wearable system; smart textile; IMU; respiratory rate; heart rate; accelerometers; Bland-Altman plots; gait speed; interclass correlation coefficient; low frequency extension filter; Stepwatch; smart walker; obstacle detection; aging; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies wh...