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220822 ||| eng |
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|a books978-3-0365-2312-5
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|a 9783036523125
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|a 9783036523118
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|a Aerts, Jean Marie
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|a Human Health Engineering Volume II
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2021
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| 300 |
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|a 1 electronic resource (196 p.)
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|a APS
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|a nonlinear analysis
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|a respiratory rate
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| 653 |
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|a inkjet printing
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| 653 |
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|a valveless micropump
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| 653 |
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|a upper limb rehabilitation
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|a silver nanoparticles
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|a stumbling
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|a n/a
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|a efficient estimator
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|a deep learning
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|a Interval based LDA
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|a driving phobia
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| 653 |
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|a pinch force
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| 653 |
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|a Individual verification
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|a vibratory stimulation device
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|a anorexia nervosa
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|a organizational model
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| 653 |
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|a pulling force
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|a wearable sensors
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|a UE-FMA
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|a time-domain analysis
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| 653 |
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|a Vater-Pacini corpuscles
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|a electrodermal activity
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| 653 |
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|a Technology: general issues / bicssc
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|a electroencephalography
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|a feature extraction
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| 653 |
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|a measurement uncertainty
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| 653 |
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|a virtual reality
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| 653 |
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|a Electrocardiogram (ECG)
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| 653 |
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|a upper limb impairment
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|a serious games
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|a response frequency
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| 653 |
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|a piezo-fluid-structural coupled simulation
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|a haptic feedback
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|a slip onset
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|a driving fatigue
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|a electromyography sensors
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|a standard deviation
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| 653 |
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|a rehabilitation
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| 653 |
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|a local muscle vibration
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|a proprioceptors
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|a stretchable and wearable sensors
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|a stroke
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| 653 |
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|a Monte-Carlo method (MMC)
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| 653 |
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|a post-traumatic stress disorder
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|a low back pain
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|a biometrics
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|a clinical evaluation
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| 653 |
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|a automated assessment
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|a closed-loop insulin pump
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|a postural control
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| 653 |
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|a robotics
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| 653 |
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|a convolutional neural network
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|a frequency-domain analysis
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| 653 |
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|a smoothness
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|a technological devices
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|a plantar visualization
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|a physiological signal
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|a remote fetal monitor
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|a gait analysis
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|a strain gauge
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|a body posture
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|a virtual reality exposure therapy
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1 |
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|a Aerts, Jean Marie
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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|a 10.3390/books978-3-0365-2312-5
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|u https://www.mdpi.com/books/pdfview/book/4578
|7 0
|x Verlag
|3 Volltext
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| 856 |
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2 |
|u https://directory.doabooks.org/handle/20.500.12854/76985
|z DOAB: description of the publication
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|a 580
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|a 700
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|a 600
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|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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