TY - GEN
T1 - Effect of Pelvic Movement on Healthy Subjects during Gait Training Using a Gait Rehabilitation System
AU - Son, Choonghyun
AU - Moon, Hyunsik
AU - Kim, Daeeun
AU - Chun, Min Ho
AU - Kim, Seungjong
AU - Choi, Junho
N1 - 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 daeeun@yonsei.ac.kr Min Ho CHun is with Asan Medical Center, Seoul, Republic of Korea mhchun0@gmail.com
Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85056590229&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2018.8512766
DO - 10.1109/EMBC.2018.8512766
M3 - Conference contribution
C2 - 30440909
AN - SCOPUS:85056590229
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2475
EP - 2478
BT - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Y2 - 18 July 2018 through 21 July 2018
ER -