LEADER 04597nam 2201033z- 450 001 9910557611703321 005 20231214132927.0 035 $a(CKB)5400000000045285 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79582 035 $a(EXLCZ)995400000000045285 100 $a20202203d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (204 p.) 311 $a3-0365-2812-1 311 $a3-0365-2813-X 330 $aThe demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy. 606 $aTechnology: general issues$2bicssc 606 $aHistory of engineering & technology$2bicssc 610 $afog computing 610 $acloud computing 610 $ae-health 610 $ahealthcare 610 $aInternet of Things 610 $apaddle stroke analysis 610 $amotion reconstruction 610 $ainertial sensor 610 $adata fusion 610 $abody sensor network 610 $agait analysis 610 $agyroscope 610 $ainformation fusion 610 $ahidden Markov model 610 $ahuman activity recognition 610 $aout of distribution 610 $aanomaly detection 610 $aopen set classification 610 $aphysiotherapy 610 $ainertial sensors 610 $asmart watch 610 $arehabilitation 610 $amachine learning 610 $aCOPD 610 $awearable sensors 610 $aSenseWear Armband 610 $aphysical activity 610 $aweekday-to-weekend 610 $aenergy expenditure 610 $astress 610 $awearable device 610 $aheart rate variability 610 $aelectrocardiogram 610 $ascapula neuromuscular activity and control 610 $arotator cuff related pain syndrome 610 $aanterior shoulder instability 610 $ascapular dyskinesis 610 $aelectromyographic biofeedback 610 $acardio-respiratory monitoring 610 $awearable system 610 $asmart textile 610 $aIMU 610 $arespiratory rate 610 $aheart rate 610 $aaccelerometers 610 $aBland-Altman plots 610 $agait speed 610 $ainterclass correlation coefficient 610 $alow frequency extension filter 610 $aStepwatch 610 $asmart walker 610 $aobstacle detection 610 $aaging 615 7$aTechnology: general issues 615 7$aHistory of engineering & technology 700 $ade Fa?tima Domingues$b Maria$4edt$01304467 702 $aSciarrone$b Andrea$4edt 702 $aRadwan$b Ayman$4edt 702 $ade Fa?tima Domingues$b Maria$4oth 702 $aSciarrone$b Andrea$4oth 702 $aRadwan$b Ayman$4oth 906 $aBOOK 912 $a9910557611703321 996 $aWearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures$93027449 997 $aUNINA