Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 장성호 | - |
dc.date.accessioned | 2019-12-03T04:56:19Z | - |
dc.date.available | 2019-12-03T04:56:19Z | - |
dc.date.issued | 2017-12 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v. 18, no. 12, page. 1773-1781 | en_US |
dc.identifier.issn | 2234-7593 | - |
dc.identifier.issn | 2005-4602 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007%2Fs12541-017-0206-1 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/116816 | - |
dc.description.abstract | Robot-assisted ambulatory training has become an increasingly popular method of rehabilitation. The present study aimed to evaluate the effectiveness of robot-assisted training on walking by measuring changes in gait pattern. In this pilot study, a lightweight, modular, wearable lower-limb robot that supports walking was tested in two male patients who became hemiplegic because of stroke. Wearing the lower-limb robot, 12 weeks of ambulatory training was conducted, 3 days a week, for 45 minutes per session. Gait analysis was conducted using a 3D motion analyzer to measure and evaluate the changes in walking aspects 4 times (pre-training, 6 weeks, 12 weeks, and 24 weeks); the evaluation measured temporal-spatial, kinematic, and kinetic variables. Several variables improved in the hemiplegic patients after the end of 12 weeks of training but regressed somewhat after an additional 12 weeks without ambulatory training. Future studies should be focused on improving certain aspects of the robotic training mechanism, such as the ankle joint torque generator, and should be expanded to include a larger population of controlled study participants. | en_US |
dc.description.sponsorship | This study was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2015R1A2A2A01002887). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | KOREAN SOC PRECISION ENG | en_US |
dc.subject | Exoskeleton robot | en_US |
dc.subject | Gait training | en_US |
dc.subject | Hemiplegia | en_US |
dc.subject | Robot-assisted gait | en_US |
dc.subject | Symmetry | en_US |
dc.subject | Wearable robot | en_US |
dc.title | Gait Analysis of Hemiplegic Patients in Ambulatory Rehabilitation Training Using a Wearable Lower-Limb Robot: A Pilot Study | en_US |
dc.type | Article | en_US |
dc.relation.no | 12 | - |
dc.relation.volume | 18 | - |
dc.identifier.doi | 10.1007/s12541-017-0206-1 | - |
dc.relation.page | 1773-1781 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | - |
dc.contributor.googleauthor | Moon, Sang Bok | - |
dc.contributor.googleauthor | Ji, Young-Hoon | - |
dc.contributor.googleauthor | Jang, Hye-Yoen | - |
dc.contributor.googleauthor | Hwang, Seung-Hoon | - |
dc.contributor.googleauthor | Shin, Dong-Bin | - |
dc.contributor.googleauthor | Lee, Seung-Chan | - |
dc.contributor.googleauthor | Han, Jung-Soo | - |
dc.contributor.googleauthor | Han, Chang-Soo | - |
dc.contributor.googleauthor | Lee, Yeong Guk | - |
dc.contributor.googleauthor | Jang, Seong Ho | - |
dc.relation.code | 2017004516 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | systole | - |
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