Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the tec...
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2021 |
| Language: | English |
| Physical Description: | 1 electronic resource (328 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993546035804498 |
|---|---|
| ctrlnum |
(CKB)5400000000042297 (oapen)https://directory.doabooks.org/handle/20.500.12854/76891 (EXLCZ)995400000000042297 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Ribbers, Gerard M edt Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice Wearable Movement Sensors for Rehabilitation Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (328 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation. English Technology: general issues bicssc accelerometers wearable sensors exercise measurement GMFCS level relative orientation estimation IMU magnetometer-free gait analysis machine learning inertial measurement units neurological disorders falls validity 3-D motion analysis single leg squat motion capture clinical rehabilitation motor function outcomes implementation locomotion assistive devices embedded sensors accelerometry physical activity Fourier transform functional linear model walking distance lower limb amputation gait Lie group constrained extended Kalman filter pose estimation wearable devices distance measurement gait planning stride length center of pressure human-machine interaction perinatal stroke kinematics upper extremity cerebral palsy hemiplegia constraint inertial measurement unit wireless sensors network motion tracking range of motion shoulder goniometer spinal cord injury tetraplegia clinical setting circadian motor behavior body-worn sensors older adults physically active workers low back pain inertial motion units wearable sensor real-time gait detection insole pressure sensors pathological gait gait rehabilitation assistive device wearable technology stroke physical therapy arm use upper limb performance accelerometer sensor walking 3-0365-2063-5 3-0365-2064-3 Regterschot, G.R.H. edt Bussmann, J.B.J. edt Ribbers, Gerard M oth Regterschot, G.R.H. oth Bussmann, J.B.J. oth |
| language |
English |
| format |
eBook |
| author2 |
Regterschot, G.R.H. Bussmann, J.B.J. Ribbers, Gerard M Regterschot, G.R.H. Bussmann, J.B.J. |
| author_facet |
Regterschot, G.R.H. Bussmann, J.B.J. Ribbers, Gerard M Regterschot, G.R.H. Bussmann, J.B.J. |
| author2_variant |
g m r gm gmr g r gr j b jb |
| author2_role |
HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige |
| title |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| spellingShingle |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_full |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_fullStr |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_full_unstemmed |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_auth |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_alt |
Wearable Movement Sensors for Rehabilitation |
| title_new |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| title_sort |
wearable movement sensors for rehabilitation: from technology to clinical practice |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2021 |
| physical |
1 electronic resource (328 p.) |
| isbn |
3-0365-2063-5 3-0365-2064-3 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT ribbersgerardm wearablemovementsensorsforrehabilitationfromtechnologytoclinicalpractice AT regterschotgrh wearablemovementsensorsforrehabilitationfromtechnologytoclinicalpractice AT bussmannjbj wearablemovementsensorsforrehabilitationfromtechnologytoclinicalpractice AT ribbersgerardm wearablemovementsensorsforrehabilitation AT regterschotgrh wearablemovementsensorsforrehabilitation AT bussmannjbj wearablemovementsensorsforrehabilitation |
| status_str |
n |
| ids_txt_mv |
(CKB)5400000000042297 (oapen)https://directory.doabooks.org/handle/20.500.12854/76891 (EXLCZ)995400000000042297 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
| _version_ |
1796648787174752256 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04615nam-a2201261z--4500</leader><controlfield tag="001">993546035804498</controlfield><controlfield tag="005">20231214132945.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202201s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000042297</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/76891</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000042297</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ribbers, Gerard M</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Wearable Movement Sensors for Rehabilitation</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (328 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">accelerometers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">exercise</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">measurement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GMFCS level</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">relative orientation estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IMU</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">magnetometer-free</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inertial measurement units</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neurological disorders</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">falls</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">validity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3-D motion analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">single leg squat</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion capture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clinical</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rehabilitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motor function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">outcomes</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">implementation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">locomotion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">assistive devices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">embedded sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">accelerometry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physical activity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Fourier transform</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">functional linear model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">walking distance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">lower limb amputation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Lie group</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">constrained extended Kalman filter</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pose estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable devices</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">distance measurement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait planning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stride length</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">center of pressure</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">human-machine interaction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">perinatal stroke</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">kinematics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">upper extremity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cerebral palsy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hemiplegia</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">constraint</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inertial measurement unit</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wireless sensors network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">motion tracking</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">range of motion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">shoulder</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">goniometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spinal cord injury</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">tetraplegia</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clinical setting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">circadian motor behavior</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">body-worn sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">older adults</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physically active workers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">low back pain</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inertial motion units</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">real-time gait detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">insole pressure sensors</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pathological gait</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">gait rehabilitation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">assistive device</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wearable technology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">stroke</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">physical therapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">arm use</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">upper limb performance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">accelerometer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">walking</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2063-5</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2064-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Regterschot, G.R.H.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bussmann, J.B.J.</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ribbers, Gerard M</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Regterschot, G.R.H.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bussmann, J.B.J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:37:53 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338143330004498&Force_direct=true</subfield><subfield code="Z">5338143330004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338143330004498</subfield></datafield></record></collection> |