Effect of Pelvic Movement on Healthy Subjects during Gait Training Using a Gait Rehabilitation System

Choonghyun Son, Hyunsik Moon, Daeeun Kim, Min Ho Chun, Seungjong Kim, Junho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2475-2478
Number of pages4
ISBN (Electronic)9781538636466
DOIs
Publication statusPublished - 2018 Oct 26
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 2018 Jul 182018 Jul 21

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
CountryUnited States
CityHonolulu
Period18/7/1818/7/21

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 daeeun@yonsei.ac.kr Min Ho CHun is with Asan Medical Center, Seoul, Republic of Korea mhchun0@gmail.com

Funding Information:
In order to choose the walking speed, the subjects walked in the COWALK-I system until comfortable walking speed is chosen as the walking speed was increased. At the chosen walking speed, the subject was asked to walk for 5 minutes under each walking condition while measuring the joint angles, interaction forces, and EMG data. No body weight was supported by the body weight support system since all subjects are healthy.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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