Combined electromyography(EMG)-driven system with functional electrical stimulation (FES) for poststroke rehabilitation

R. Li, Xiaoling Hu, K. Y. Tong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

13 Citations (Scopus)

Abstract

Robot and functional electrical stimulation (FES) techniques have been used for improving motor functions after stroke respectively. In this work, we aimed to examine the combined effects from Robot and FES in post-stroke wrist rehabilitation. We developed a new electromyography (EMG)-driven FES-robot system with a control algorithm, which was interactive to the voluntary motor inputs from persons after stroke. Two hemiplegic subjects with chronic stroke were recruited to test the EMG-driven FES-robot system. The results demonstrated that the integrated system was effective in improving the tracking performance represented by root mean squared error (RMSE) and root mean squared jerk (RMSJ) of tracking trajectories in programmed wrist tracking tasks assisted with different proportions of the interactive supports from the FES and robot parts respectively. This combined system may have the potential to be applied in stroke rehabilitation.
Original languageEnglish
Title of host publicationProceedings of the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008
Pages642-646
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2008
Event2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008 - Scottsdale, AZ, United States
Duration: 19 Oct 200822 Oct 2008

Conference

Conference2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008
Country/TerritoryUnited States
CityScottsdale, AZ
Period19/10/0822/10/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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