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In this Special Issue on human health engineering, we invited submissions exploring recent contributions to the field of human health engineering, which is the technology used for monitoring the physical or mental health status of individuals in a variety of applications. Contributions focused on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main aspects of the monitoring and control engineering scheme applied to human health applications, including papers focusing on measuring/sensing physiological variables, contributions describing research on the modelling of biological signals, papers highlighting health monitoring applications, and finally examples of control applications for human health. In comparison to biomedical engineering, the field of human health engineering also covers applications on healthy humans (e.g., sports, sleep, and stress) and thus not only contributes to develop technology for curing patients or supporting chronically ill people, but also more generally for disease prevention and optimizing human well-being.

Great Britain --- Great Britain --- History --- History.

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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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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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