TY  - GEN
AU  - Aerts,Jean Marie
AU  - Aerts,Jean Marie
TI  - Human Health Engineering Volume II
SN  - books978-3-0365-2312-5
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Technology: general issues
KW  - bicssc
KW  - vibratory stimulation device
KW  - local muscle vibration
KW  - proprioceptors
KW  - low back pain
KW  - response frequency
KW  - postural control
KW  - Vater-Pacini corpuscles
KW  - electroencephalography
KW  - deep learning
KW  - driving fatigue
KW  - feature extraction
KW  - convolutional neural network
KW  - rehabilitation
KW  - robotics
KW  - technological devices
KW  - upper limb impairment
KW  - organizational model
KW  - inkjet printing
KW  - respiratory rate
KW  - strain gauge
KW  - stretchable and wearable sensors
KW  - silver nanoparticles
KW  - clinical evaluation
KW  - body posture
KW  - upper limb rehabilitation
KW  - serious games
KW  - haptic feedback
KW  - electromyography sensors
KW  - virtual reality
KW  - smoothness
KW  - wearable sensors
KW  - gait analysis
KW  - stumbling
KW  - plantar visualization
KW  - remote fetal monitor
KW  - measurement uncertainty
KW  - standard deviation
KW  - Monte-Carlo method (MMC)
KW  - efficient estimator
KW  - automated assessment
KW  - UE-FMA
KW  - pinch force
KW  - pulling force
KW  - slip onset
KW  - stroke
KW  - anorexia nervosa
KW  - electrodermal activity
KW  - time-domain analysis
KW  - frequency-domain analysis
KW  - nonlinear analysis
KW  - virtual reality exposure therapy
KW  - driving phobia
KW  - post-traumatic stress disorder
KW  - physiological signal
KW  - piezo-fluid-structural coupled simulation
KW  - APS
KW  - valveless micropump
KW  - closed-loop insulin pump
KW  - Individual verification
KW  - Electrocardiogram (ECG)
KW  - Interval based LDA
KW  - biometrics
KW  - n/a
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/4578
UR  - https://directory.doabooks.org/handle/20.500.12854/76985
ER  -