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