LEADER 02097nam 2200577Ia 450 001 9910778502003321 005 20230315171325.0 010 $a1-280-20380-3 010 $a9786610203802 010 $a0-309-58330-6 010 $a0-585-08568-4 035 $a(CKB)110986584751064 035 $a(OCoLC)647361307 035 $a(CaPaEBR)ebrary10055632 035 $a(SSID)ssj0000215447 035 $a(PQKBManifestationID)11912251 035 $a(PQKBTitleCode)TC0000215447 035 $a(PQKBWorkID)10185000 035 $a(PQKB)11149985 035 $a(MiAaPQ)EBC3376412 035 $a(Au-PeEL)EBL3376412 035 $a(CaPaEBR)ebr10055632 035 $a(CaONFJC)MIL20380 035 $a(OCoLC)923263557 035 $a(EXLCZ)99110986584751064 100 $a19911017d1991 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOpportunities and priorities in arctic geoscience /$fCommittee on Arctic Solid-Earth Geosciences, Polar Research Board, Commission on Geosciences, Environment, and Resources, National Research Council 210 1$aWashington, D.C. :$cNational Academy Press,$d1991. 215 $a1 online resource (xii, 67 pages) $cillustrations 300 $aSupport provided jointly by the Department of the Interior, U.S. Geological Survey, the National Science Foundation, the Department of Energy, and the Arthur Day Fund. 300 $aCommittee chairman: Arthur Grantz. 311 0 $a0-309-04485-5 320 $aIncludes bibliographical references (p. 61-67). 606 $aGeology$zArctic regions 607 $aArctic regions$xResearch 615 0$aGeology 676 $a559.8/072 701 $aGrantz$b Arthur$f1927-2021.$01276837 712 02$aNational Research Council (U.S.).$bCommittee on Arctic Solid-Earth Geosciences. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910778502003321 996 $aOpportunities and priorities in arctic geoscience$93805707 997 $aUNINA LEADER 04548nam 2201213z- 450 001 9910576872303321 005 20220621 035 $a(CKB)5720000000008453 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84536 035 $a(oapen)doab84536 035 $a(EXLCZ)995720000000008453 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aWearables for Movement Analysis in Healthcare 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (252 p.) 311 08$a3-0365-4019-9 311 08$a3-0365-4020-2 330 $aQuantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients' capabilities, unobtrusively and continuously, for clinical purposes. 606 $aBiochemistry$2bicssc 606 $aBiology, life sciences$2bicssc 606 $aResearch and information: general$2bicssc 610 $a6-min walking test 610 $aaccelerometer 610 $aACL 610 $aangle-angle diagrams 610 $abiomechanical phenomena 610 $abiomechanics analysis 610 $abody sensor network 610 $aBox and Block test 610 $abradykinesia 610 $aclinical 610 $acyclograms 610 $adecision trees 610 $ae-textile 610 $afoot drop stimulation 610 $agait 610 $agait analysis 610 $aground reaction force 610 $ahand trajectories 610 $ahemiparesis 610 $aIMU 610 $ainertial measurement sensor 610 $ainertial measurement systems 610 $ainertial measurement unit (IMU) 610 $ainertial measurement units 610 $ainertial sensor 610 $ainertial sensors 610 $ainertial sensors network 610 $aInternet of Things 610 $akinematic 610 $akinematic data 610 $akinematics 610 $alimb prosthesis 610 $am-health 610 $amarker-based optoelectronic system 610 $amotion analysis 610 $amotion capture 610 $amotion capture validation 610 $amotor fluctuation 610 $amovement analysis 610 $an/a 610 $anaturalistic monitoring 610 $aobesity 610 $aolder adults 610 $aoptoelectronic system 610 $aorthopedic 610 $aParkinson's disease 610 $aplantar pressure 610 $areal-life 610 $arehabilitation 610 $areliability 610 $aRGB-D sensors 610 $asensory-motor gait disorders 610 $asmoothness 610 $aspatial-temporal analysis 610 $aspatio-temporal parameters 610 $astroke 610 $asymmetry 610 $asymmetry index 610 $aupper extremity 610 $aupper limb 610 $avalidation 610 $awalking 610 $awearable devices 610 $awearable inertial sensors 610 $awearable movement sensor 610 $awearable sensors 610 $awearable system 615 7$aBiochemistry 615 7$aBiology, life sciences 615 7$aResearch and information: general 700 $aCapodaglio$b Paolo$4edt$01296667 702 $aCimolin$b Veronica$4edt 702 $aCapodaglio$b Paolo$4oth 702 $aCimolin$b Veronica$4oth 906 $aBOOK 912 $a9910576872303321 996 $aWearables for Movement Analysis in Healthcare$93024199 997 $aUNINA