Human Health Engineering

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 se...

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Bibliographic Details
Main Author: Aerts, Jean Marie (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
n/a
SVM
arm
VO2
Online Access:Get Fullteks
DOAB: description of the publication
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100 1 |a Aerts, Jean Marie  |4 auth 
245 1 0 |a Human Health Engineering 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (428 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a 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. 
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653 |a missing data 
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653 |a simultaneous EEG-fMRI 
653 |a magnetorheological brake 
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653 |a cohort studies 
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653 |a mortality prediction 
653 |a distal skin temperature 
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653 |a artefact correction 
653 |a swarm optimization 
653 |a multiple imputations 
653 |a photoplethysmogram 
653 |a powered mobility 
653 |a head-shaped phantom 
653 |a specific airway conductance 
653 |a computed tomography 
653 |a streaming data 
653 |a back loading 
653 |a dynamic modelling 
653 |a meta-analysis 
653 |a pneumatic artificial muscle 
653 |a adaptive control 
653 |a convective and evaporative heat loss 
653 |a spine 
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653 |a driver drowsiness 
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856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/2080  |7 0  |z Get Fullteks 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/49628  |7 0  |z DOAB: description of the publication