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In the future, wearable technology will revolutionize the way we live. The current trend is to augment ordinary wearable objects – e.g. watches, glasses, bracelets, and clothing – with advanced information and communication technologies such as sensors, electronics, software, connectivity, and power sources. These wearable devices can monitor and assist the user in the management of his/her daily life with applications that range from activity tracking, sport and wellness, mobile games, and environmental monitoring, up to e-health. This book explores recent advances in the multidisciplinary field of wearable technologies and the important remaining gaps that must be addressed in order to obtain a massive diffusion. Articles in this book address topics that include wearable sensing and bio-sensing technologies, smart textiles, smart materials, wearable microsystems, low-power and embedded circuits for data acquisition, and processing and data transmission.
e-health --- flexible/stretchable electronics --- augmented reality --- smart textiles --- Wearable sensors
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In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.
Technology: general issues --- vibratory stimulation device --- local muscle vibration --- proprioceptors --- low back pain --- response frequency --- postural control --- Vater-Pacini corpuscles --- electroencephalography --- deep learning --- driving fatigue --- feature extraction --- convolutional neural network --- rehabilitation --- robotics --- technological devices --- upper limb impairment --- organizational model --- inkjet printing --- respiratory rate --- strain gauge --- stretchable and wearable sensors --- silver nanoparticles --- clinical evaluation --- body posture --- upper limb rehabilitation --- serious games --- haptic feedback --- electromyography sensors --- virtual reality --- smoothness --- wearable sensors --- gait analysis --- stumbling --- plantar visualization --- remote fetal monitor --- measurement uncertainty --- standard deviation --- Monte-Carlo method (MMC) --- efficient estimator --- automated assessment --- UE-FMA --- pinch force --- pulling force --- slip onset --- stroke --- anorexia nervosa --- electrodermal activity --- time-domain analysis --- frequency-domain analysis --- nonlinear analysis --- virtual reality exposure therapy --- driving phobia --- post-traumatic stress disorder --- physiological signal --- piezo-fluid-structural coupled simulation --- APS --- valveless micropump --- closed-loop insulin pump --- Individual verification --- Electrocardiogram (ECG) --- Interval based LDA --- biometrics --- n/a
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In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.
vibratory stimulation device --- local muscle vibration --- proprioceptors --- low back pain --- response frequency --- postural control --- Vater-Pacini corpuscles --- electroencephalography --- deep learning --- driving fatigue --- feature extraction --- convolutional neural network --- rehabilitation --- robotics --- technological devices --- upper limb impairment --- organizational model --- inkjet printing --- respiratory rate --- strain gauge --- stretchable and wearable sensors --- silver nanoparticles --- clinical evaluation --- body posture --- upper limb rehabilitation --- serious games --- haptic feedback --- electromyography sensors --- virtual reality --- smoothness --- wearable sensors --- gait analysis --- stumbling --- plantar visualization --- remote fetal monitor --- measurement uncertainty --- standard deviation --- Monte-Carlo method (MMC) --- efficient estimator --- automated assessment --- UE-FMA --- pinch force --- pulling force --- slip onset --- stroke --- anorexia nervosa --- electrodermal activity --- time-domain analysis --- frequency-domain analysis --- nonlinear analysis --- virtual reality exposure therapy --- driving phobia --- post-traumatic stress disorder --- physiological signal --- piezo-fluid-structural coupled simulation --- APS --- valveless micropump --- closed-loop insulin pump --- Individual verification --- Electrocardiogram (ECG) --- Interval based LDA --- biometrics --- n/a
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Ion-sensitive membrane-based sensors and ionic processes in bio-membranes are the focus of this book. The chapters are carefully chosen to characterize essential research trends, applications, and perspectives. They include solid contact ion-selective and reference electrodes and their electroanalytical behavior in zero and nonzero-current modes, planar and miniaturized multielectrode platforms, ion monitoring in extreme sports, and transmembrane transport through living endothelial cells to find the volume. This book is crowned by the consideration of a yet unexplored ion status in a mitochondrial matrix
Research & information: general --- Biology, life sciences --- potentiometry --- reference electrode --- solid contact --- heterogenous membranes --- polymer membranes --- ion transport --- water transport --- epithelium --- cystic fibrosis --- mitochondrion --- calcium carbonates --- calcium phosphates --- calcium polyphosphates --- ATP production --- hypoxia --- ischemia --- pre-conditioning --- ion selective electrodes --- wearable sensors --- solid-contact materials --- response mechanism --- anhydrous and hydrous ruthenium dioxide --- porous microstructure --- high capacity --- stable measuring signal --- chemically modified electrodes --- membrane-coated voltammetric sensors --- antidepressant and immunosuppressant drugs --- detection limit --- resolution --- ion-selective membranes --- components leakage --- incorporation --- all-solid-state sensors --- potentiometry --- reference electrode --- solid contact --- heterogenous membranes --- polymer membranes --- ion transport --- water transport --- epithelium --- cystic fibrosis --- mitochondrion --- calcium carbonates --- calcium phosphates --- calcium polyphosphates --- ATP production --- hypoxia --- ischemia --- pre-conditioning --- ion selective electrodes --- wearable sensors --- solid-contact materials --- response mechanism --- anhydrous and hydrous ruthenium dioxide --- porous microstructure --- high capacity --- stable measuring signal --- chemically modified electrodes --- membrane-coated voltammetric sensors --- antidepressant and immunosuppressant drugs --- detection limit --- resolution --- ion-selective membranes --- components leakage --- incorporation --- all-solid-state sensors
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Ion-sensitive membrane-based sensors and ionic processes in bio-membranes are the focus of this book. The chapters are carefully chosen to characterize essential research trends, applications, and perspectives. They include solid contact ion-selective and reference electrodes and their electroanalytical behavior in zero and nonzero-current modes, planar and miniaturized multielectrode platforms, ion monitoring in extreme sports, and transmembrane transport through living endothelial cells to find the volume. This book is crowned by the consideration of a yet unexplored ion status in a mitochondrial matrix
potentiometry --- reference electrode --- solid contact --- heterogenous membranes --- polymer membranes --- ion transport --- water transport --- epithelium --- cystic fibrosis --- mitochondrion --- calcium carbonates --- calcium phosphates --- calcium polyphosphates --- ATP production --- hypoxia --- ischemia --- pre-conditioning --- ion selective electrodes --- wearable sensors --- solid-contact materials --- response mechanism --- anhydrous and hydrous ruthenium dioxide --- porous microstructure --- high capacity --- stable measuring signal --- chemically modified electrodes --- membrane-coated voltammetric sensors --- antidepressant and immunosuppressant drugs --- detection limit --- resolution --- ion-selective membranes --- components leakage --- incorporation --- all-solid-state sensors --- n/a
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In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being.
Technology: general issues --- vibratory stimulation device --- local muscle vibration --- proprioceptors --- low back pain --- response frequency --- postural control --- Vater-Pacini corpuscles --- electroencephalography --- deep learning --- driving fatigue --- feature extraction --- convolutional neural network --- rehabilitation --- robotics --- technological devices --- upper limb impairment --- organizational model --- inkjet printing --- respiratory rate --- strain gauge --- stretchable and wearable sensors --- silver nanoparticles --- clinical evaluation --- body posture --- upper limb rehabilitation --- serious games --- haptic feedback --- electromyography sensors --- virtual reality --- smoothness --- wearable sensors --- gait analysis --- stumbling --- plantar visualization --- remote fetal monitor --- measurement uncertainty --- standard deviation --- Monte-Carlo method (MMC) --- efficient estimator --- automated assessment --- UE-FMA --- pinch force --- pulling force --- slip onset --- stroke --- anorexia nervosa --- electrodermal activity --- time-domain analysis --- frequency-domain analysis --- nonlinear analysis --- virtual reality exposure therapy --- driving phobia --- post-traumatic stress disorder --- physiological signal --- piezo-fluid-structural coupled simulation --- APS --- valveless micropump --- closed-loop insulin pump --- Individual verification --- Electrocardiogram (ECG) --- Interval based LDA --- biometrics --- vibratory stimulation device --- local muscle vibration --- proprioceptors --- low back pain --- response frequency --- postural control --- Vater-Pacini corpuscles --- electroencephalography --- deep learning --- driving fatigue --- feature extraction --- convolutional neural network --- rehabilitation --- robotics --- technological devices --- upper limb impairment --- organizational model --- inkjet printing --- respiratory rate --- strain gauge --- stretchable and wearable sensors --- silver nanoparticles --- clinical evaluation --- body posture --- upper limb rehabilitation --- serious games --- haptic feedback --- electromyography sensors --- virtual reality --- smoothness --- wearable sensors --- gait analysis --- stumbling --- plantar visualization --- remote fetal monitor --- measurement uncertainty --- standard deviation --- Monte-Carlo method (MMC) --- efficient estimator --- automated assessment --- UE-FMA --- pinch force --- pulling force --- slip onset --- stroke --- anorexia nervosa --- electrodermal activity --- time-domain analysis --- frequency-domain analysis --- nonlinear analysis --- virtual reality exposure therapy --- driving phobia --- post-traumatic stress disorder --- physiological signal --- piezo-fluid-structural coupled simulation --- APS --- valveless micropump --- closed-loop insulin pump --- Individual verification --- Electrocardiogram (ECG) --- Interval based LDA --- biometrics
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Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
Technology: general issues --- Energy industries & utilities --- cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio
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People living in both developed and developing countries face serious health challenges related to sedentary lifestyles. It is therefore essential to find new ways to improve health so that people can live longer and can age well. With an ever-growing number of smart sensing systems developed and deployed across the globe, experts are primed to help coach people toward healthier behaviors. The increasing accountability associated with app- and device-based behavior tracking not only provides timely and personalized information and support but also gives us an incentive to set goals and to do more. This book presents some of the recent efforts made towards automatic and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial behavioral changes.
Technology: general issues --- activity recognition --- wearable devices --- inertial sensors --- Bluetooth beacons --- machine learning --- e-coaching --- m-health intervention --- personalization --- healthy lifestyle --- physical activity --- tangible user interface --- affordance --- multimodal cueing --- animate objects --- activities of daily living --- human activity recognition --- context-awareness --- Bayesian network --- mobile application --- wearable computing --- wrist-worn heart rate devices --- cardiac rehabilitation --- real-time wearable monitoring --- fuzzy logic --- fuzzy linguistic approach --- m-health --- remote coaching --- telemonitoring --- telehealth --- cadence --- marathon --- elevation change analysis --- personalized assistance level --- coaching --- electric bicycles --- ubiquitous computing --- health --- human-centered computing --- digital coaching --- diabetes education --- serious gaming --- self-management --- user evaluations --- sedentary lifestyle --- context recognition --- unhealthy sitting habits --- wearable sensors --- smartphones --- smart objects --- behavior change
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Virtual reality (VR) and augmented reality (AR) have long histories in the healthcare sector, offering the opportunity to develop a wide range of tools and applications aimed at improving the quality of care and efficiency of services for professionals and patients alike. The best-known examples of VR–AR applications in the healthcare domain include surgical planning and medical training by means of simulation technologies. Techniques used in surgical simulation have also been applied to cognitive and motor rehabilitation, pain management, and patient and professional education. Serious games are ones in which the main goal is not entertainment, but a crucial purpose, ranging from the acquisition of knowledge to interactive training.These games are attracting growing attention in healthcare because of their several benefits: motivation, interactivity, adaptation to user competence level, flexibility in time, repeatability, and continuous feedback. Recently, healthcare has also become one of the biggest adopters of mixed reality (MR), which merges real and virtual content to generate novel environments, where physical and digital objects not only coexist, but are also capable of interacting with each other in real time, encompassing both VR and AR applications.This Special Issue aims to gather and publish original scientific contributions exploring opportunities and addressing challenges in both the theoretical and applied aspects of VR–AR and MR applications in healthcare.
Research & information: general --- Biology, life sciences --- Biochemistry --- reaction time --- accuracy rate --- serious game --- PC-based game --- MCI --- dementia --- elderly healthcare --- cognitive function --- surgical simulation --- augmented reality --- spine surgery --- hybrid simulator --- pedicle screws fixation training --- unity game engine --- healthcare simulation --- mixed reality --- hybrid --- medical training --- serious games --- rehabilitation --- elderly --- body tracking --- exercise games --- AMD --- salience --- virtual reality --- VR --- preventive care --- self-regulation --- assisted Neurofeedback --- neurostimulation --- mindfulness --- randomized --- serious games BCI --- exergames --- personalized exergames --- multicomponent training --- wearable sensors --- older adults --- game design --- interaction design --- mild cognitive impairment --- machine learning --- feature selection --- data transformations --- classification --- n/a
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Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.
cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio
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