Abstract
Rapidly aging society faces with increases in neurological disorders including stroke. Hemiplegia, which is one of the common sequelae due to stroke, causes difficulties in activities of daily living. As the number of stroke patients grows, demands for gait training increases, where robotic gait training systems are necessary. A robotic gait training system, called 'COWALK-I,' is designed to provide pelvic motion on the transverse plane as well as leg motions in the sagittal plane during gait training sessions. The pelvic motion allows weight-shifting as well as more natural gait patterns during gait training. In this research, effect of the pelvic motion during waking in the COWALK-I system is studied. Interaction force between the healthy subjects and the COWALK-I and electromyography(EMG) sensor data are measured. The average interaction forces did not show significant difference while each subject exhibited diverse patterns. The EMG signals shows that more activation of rectus femoris and less activation of gastrocnemius and gluteus medius.
Original language | English |
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Title of host publication | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2475-2478 |
Number of pages | 4 |
ISBN (Electronic) | 9781538636466 |
DOIs | |
Publication status | Published - 2018 Oct 26 |
Event | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States Duration: 2018 Jul 18 → 2018 Jul 21 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2018-July |
ISSN (Print) | 1557-170X |
Other
Other | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 |
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Country/Territory | United States |
City | Honolulu |
Period | 18/7/18 → 18/7/21 |
Bibliographical note
Funding Information:*This work was supported by the Korea Institute of Science and Technology(KIST) Institutional Program(Project no. 2V05840) Choonghyun Son, Hyunsik Moon, Seungjong Kim, and Junho Choi are with the Center for Bionics, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea {ch.son, hyunsik312, sjongkim, junhochoi}@kist.re.kr Daeeun Kim is with Department of Electrical and Electonic Engineering, Yonsei university [email protected] Min Ho CHun is with Asan Medical Center, Seoul, Republic of Korea [email protected]
Publisher Copyright:
© 2018 IEEE.
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics