Reprint

Human Health Engineering

Edited by
March 2020
428 pages
  • ISBN978-3-03928-408-5 (Paperback)
  • ISBN978-3-03928-409-2 (PDF)

This book is a reprint of the Special Issue Human Health Engineering that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

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.

Format
  • Paperback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
artefact correction; head-shaped phantom; spherical phantom; gradient artefact; simultaneous EEG–fMRI; calcaneal spur; pain minimum compressive pressure; contour of shoe insole; insole foot area; health information; interface formats; older adults; wearable devices; usability; emotional reaction; ADHD; screening; machine learning; SVM; children; novel; nomophobia; anxiety; smartphone; internet; cyberaddiction; new technologies; chronic obstructive pulmonary disease; COPD; oxygen uptake; VO2; kinetics; exercise testing; rehabilitation robotics; soft walking assistive robot; long-term effect; gait characteristics; elderly person; blood pressure estimation; photoplethysmogram; pulse wave; pulse oximeter; wearable device; Kano-TRIZ design theory; quality function deployment; four-wheeled rollator; model predictive control; orthosis control; muscle modeling; arm; Hill muscle; swarm optimization; pneumatic artificial muscle; sliding mode control; fractional calculus; antagonistic actuator; weight loss; mHealth; dynamic model; adaptive control; spirometry; airflow limitation; airway resistance; specific airway conductance; COPD; body-plethysmography; forced expiration; alveolar pressure; emphysema; computed tomography; air-trapping; thermal comfort; bicycle helmet; smart wearables; adaptive model; streaming data; thermal sensation; adaptive model; personalized model; machine leaning; support-vector-machine; adaptive control; streaming algorithm; thermoregulation; homeostasis; cold-induced-vasodilation; cold-induced-vasoconstriction; control system; dynamic modelling; powered mobility; dyskinetic cerebral palsy; dystonia; choreoathetosis; mobility scale; movement disorder; children; youth; reliability; validity; feature engineering; intensive care unit; mortality prediction; hard-margin support vector machines; driver drowsiness; thermoregulation; distal skin temperature; decision tree; heart model; Van der Pol; FitzHugh–Nagumo; relaxation oscillator; electrocardiographic signal; bicycle helmets; thermal manikin; convective and evaporative heat loss; zonal performance characteristics; freestyle skiing aerials; knee joint; ligament; finite element simulation; lifting technique; stoop; squat; work-related musculoskeletal disorders; musculoskeletal modeling; spine; shoulder; back loading; harmonization; meta-analysis; missing data; multiple imputations; information technology; remoteness; cohort studies; control parameter reference; stance assistance; magnetorheological brake; body mass index; walking speed; ankle torque; ankle angular velocity; n/a