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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.

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 --- Bland-Altman plots

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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.

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 --- Bland-Altman plots

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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.

Humanities --- Social interaction --- 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

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This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

Humanities --- Social interaction --- radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb–chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep–wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- n/a --- unicolor limb-chest electrodes --- sleep-wake detection

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• Reference Manager
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This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare.

radiation-induced current --- dosimetry --- photodiodes --- phototransistors (MOSFETs) --- photovoltaic sensor --- CCD/CMOS --- cancer nodules detection --- phantom --- stiffness analysis --- ultrasound analysis --- visual analysis --- automatic robotic platform --- remote support for pathologists --- gait analysis --- gait correction --- electrostatic gait signal --- improved Detrended Cross-Correlation Analysis cross-correlation coefficient --- measuring system --- measurements --- contactless --- respiratory rate --- breathing pattern --- ECG electrode swaps --- ECG electrode potentials --- WCT potential change --- reconstructing correct ECG leads --- MSMinv transformation --- unicolor limb–chest electrodes --- torsional wave --- cervix --- pregnancy --- cervical stiffness --- fiber Bragg gratings --- smart textiles --- wearable systems --- cardiac monitoring --- respiratory monitoring --- precision sports --- archery --- body pressure distribution --- air-filled cell --- alternating pressure air mattress --- time of flight --- air flow --- active control system --- mobile EEG recordings --- montage-replaceable headsets --- BCI --- fiber Bragg grating --- plastic optical fiber --- non-invasive measurement --- pulse wave signals --- blood pressure --- partial least squares regression --- people counting --- bi-directional --- motion detection --- time of flight sensor --- force myography --- prosthetic fitting --- regression --- calibration --- error reduction --- linear regression --- random forest --- general regression neural network --- cross-talk --- force sensitive resistor --- MRI --- EMG --- graph theory --- electrical network --- muscle activity --- forearm --- COPD --- oxygen concentrator --- oxygen therapy --- automatic oxygen concentrator --- physical activity --- machine learning --- respiratory medicine --- portable oxygen concentrator --- oxygen delivery --- cerebral palsy --- game-based rehabilitation exercises --- computerized assessment methods --- motion tracking sensors --- Kinect sensor --- EEG --- PPG --- epilepsy --- signal processing --- brain monitoring --- artificial neural network --- predictive analysis --- dietary monitoring --- healthcare --- ring-type biosensor --- personalized digital medicine --- frailty syndrome --- sit-to-stand --- 30-s chair stand test --- wearable sensors --- fetal movement simulator --- fetal movement monitor --- maternal abdomen model --- acoustic sensor --- accelerometer --- piezoelectric diaphragm --- fiber Bragg grating sensors (FBGs) --- functional magnetic resonance imaging (fMRI) --- grasping actions detection --- motor assessment --- MR-compatible measuring systems --- abdominal movement signal --- hypopnea --- LSTM-RNN --- neural network --- oxygen saturation --- sleep apnea syndrome --- sleep–wake detection --- synchrosqueezing transform --- triaxial accelerometer --- thoracic movement signal --- multiple sclerosis --- kinematics --- surface EMG --- accelerator --- inertial sensor --- T10MW --- markerless motion capture --- automatic pushing analysis --- SCI patients --- RGB-D sensors --- respiration monitoring --- non-contact monitoring --- body movements detection --- thermal imaging --- natural sleep environments --- n/a --- unicolor limb-chest electrodes --- sleep-wake detection