LEADER 04343nam 2201069z- 450 001 9910557392603321 005 20231214133505.0 035 $a(CKB)5400000000041972 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76985 035 $a(EXLCZ)995400000000041972 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Health Engineering Volume II 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (196 p.) 311 $a3-0365-2311-1 311 $a3-0365-2312-X 330 $aIn 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. 606 $aTechnology: general issues$2bicssc 610 $avibratory stimulation device 610 $alocal muscle vibration 610 $aproprioceptors 610 $alow back pain 610 $aresponse frequency 610 $apostural control 610 $aVater-Pacini corpuscles 610 $aelectroencephalography 610 $adeep learning 610 $adriving fatigue 610 $afeature extraction 610 $aconvolutional neural network 610 $arehabilitation 610 $arobotics 610 $atechnological devices 610 $aupper limb impairment 610 $aorganizational model 610 $ainkjet printing 610 $arespiratory rate 610 $astrain gauge 610 $astretchable and wearable sensors 610 $asilver nanoparticles 610 $aclinical evaluation 610 $abody posture 610 $aupper limb rehabilitation 610 $aserious games 610 $ahaptic feedback 610 $aelectromyography sensors 610 $avirtual reality 610 $asmoothness 610 $awearable sensors 610 $agait analysis 610 $astumbling 610 $aplantar visualization 610 $aremote fetal monitor 610 $ameasurement uncertainty 610 $astandard deviation 610 $aMonte-Carlo method (MMC) 610 $aefficient estimator 610 $aautomated assessment 610 $aUE-FMA 610 $apinch force 610 $apulling force 610 $aslip onset 610 $astroke 610 $aanorexia nervosa 610 $aelectrodermal activity 610 $atime-domain analysis 610 $afrequency-domain analysis 610 $anonlinear analysis 610 $avirtual reality exposure therapy 610 $adriving phobia 610 $apost-traumatic stress disorder 610 $aphysiological signal 610 $apiezo-fluid-structural coupled simulation 610 $aAPS 610 $avalveless micropump 610 $aclosed-loop insulin pump 610 $aIndividual verification 610 $aElectrocardiogram (ECG) 610 $aInterval based LDA 610 $abiometrics 615 7$aTechnology: general issues 700 $aAerts$b Jean Marie$4edt$01325420 702 $aAerts$b Jean Marie$4oth 906 $aBOOK 912 $a9910557392603321 996 $aHuman Health Engineering Volume II$93036878 997 $aUNINA