Human Health Engineering

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

Yhteenveto

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.

Ulkoasu

1 electronic resource (428 p.)

ISBN

books978-3-03928-409-2
9783039284092
9783039284085

Pääsy

Open Access