TY  - GEN
AU  - de Fátima Domingues,Maria
AU  - Sciarrone,Andrea
AU  - Radwan,Ayman
AU  - de Fátima Domingues,Maria
AU  - Sciarrone,Andrea
AU  - Radwan,Ayman
TI  - Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
SN  - books978-3-0365-2813-7
PY  - 2022///
CY  - Basel
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Technology: general issues
KW  - bicssc
KW  - History of engineering & technology
KW  - fog computing
KW  - cloud computing
KW  - e-health
KW  - healthcare
KW  - Internet of Things
KW  - paddle stroke analysis
KW  - motion reconstruction
KW  - inertial sensor
KW  - data fusion
KW  - body sensor network
KW  - gait analysis
KW  - gyroscope
KW  - information fusion
KW  - hidden Markov model
KW  - human activity recognition
KW  - out of distribution
KW  - anomaly detection
KW  - open set classification
KW  - physiotherapy
KW  - inertial sensors
KW  - smart watch
KW  - rehabilitation
KW  - machine learning
KW  - COPD
KW  - wearable sensors
KW  - SenseWear Armband
KW  - physical activity
KW  - weekday-to-weekend
KW  - energy expenditure
KW  - stress
KW  - wearable device
KW  - heart rate variability
KW  - electrocardiogram
KW  - scapula neuromuscular activity and control
KW  - rotator cuff related pain syndrome
KW  - anterior shoulder instability
KW  - scapular dyskinesis
KW  - electromyographic biofeedback
KW  - cardio-respiratory monitoring
KW  - wearable system
KW  - smart textile
KW  - IMU
KW  - respiratory rate
KW  - heart rate
KW  - accelerometers
KW  - Bland-Altman plots
KW  - gait speed
KW  - interclass correlation coefficient
KW  - low frequency extension filter
KW  - Stepwatch
KW  - smart walker
KW  - obstacle detection
KW  - aging
KW  - n/a
N1  - Open Access
N2  - 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 which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy
UR  - https://mdpi.com/books/pdfview/book/4962
UR  - https://directory.doabooks.org/handle/20.500.12854/79582
ER  -