Human Health Engineering Volume II

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 cou...

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Bibliographic Details
Other Authors: Aerts, Jean Marie (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a 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. 
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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
653 |a vibratory stimulation device 
653 |a local muscle vibration 
653 |a proprioceptors 
653 |a low back pain 
653 |a response frequency 
653 |a postural control 
653 |a Vater-Pacini corpuscles 
653 |a electroencephalography 
653 |a deep learning 
653 |a driving fatigue 
653 |a feature extraction 
653 |a convolutional neural network 
653 |a rehabilitation 
653 |a robotics 
653 |a technological devices 
653 |a upper limb impairment 
653 |a organizational model 
653 |a inkjet printing 
653 |a respiratory rate 
653 |a strain gauge 
653 |a stretchable and wearable sensors 
653 |a silver nanoparticles 
653 |a clinical evaluation 
653 |a body posture 
653 |a upper limb rehabilitation 
653 |a serious games 
653 |a haptic feedback 
653 |a electromyography sensors 
653 |a virtual reality 
653 |a smoothness 
653 |a wearable sensors 
653 |a gait analysis 
653 |a stumbling 
653 |a plantar visualization 
653 |a remote fetal monitor 
653 |a measurement uncertainty 
653 |a standard deviation 
653 |a Monte-Carlo method (MMC) 
653 |a efficient estimator 
653 |a automated assessment 
653 |a UE-FMA 
653 |a pinch force 
653 |a pulling force 
653 |a slip onset 
653 |a stroke 
653 |a anorexia nervosa 
653 |a electrodermal activity 
653 |a time-domain analysis 
653 |a frequency-domain analysis 
653 |a nonlinear analysis 
653 |a virtual reality exposure therapy 
653 |a driving phobia 
653 |a post-traumatic stress disorder 
653 |a physiological signal 
653 |a piezo-fluid-structural coupled simulation 
653 |a APS 
653 |a valveless micropump 
653 |a closed-loop insulin pump 
653 |a Individual verification 
653 |a Electrocardiogram (ECG) 
653 |a Interval based LDA 
653 |a biometrics 
653 |a n/a 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/76985  |7 0  |z DOAB: description of the publication