DocumentCode
3186013
Title
Evaluation of elbow power assistive system using sEMG signals for individuals with muscle weakness: Influence of assistive gain for variation of payload
Author
Kwon, Suncheol ; Kim, Yunjoo ; Lee, Dongju ; Kim, Jung
Author_Institution
Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
fYear
2012
fDate
24-27 June 2012
Firstpage
1004
Lastpage
1009
Abstract
The change of the assistive gain (AG), the ratio of the assistance to the human torque, can lead to unstable movement of the user. We investigated the influence of variation of the AG in developing a power assistive system. The elbow joint torque in the sagittal plane was estimated using sEMG signals from upper limb muscles, and a one-degree-of-freedom (1DOF) assistive system was provided the power that was proportional to the estimated torque. A disabled as well as healthy participants performed elbow flexion/extension with the assistance gave variety to the AG and payload. The results indicated that the sEMG-driven assistance reduced the muscle activities for the movement while the AG was increased for all participants, although the difficulty of manipulating the system was increased with the gain being applied rather than with no assistance for healthy participants only. This study will allow the finding of efficient AG for a given payload condition.
Keywords
electromyography; medical signal processing; 1DOF assistive system; AG; assistive gain; elbow extension; elbow flexion; elbow joint torque; elbow power assistive system; muscle weakness; one-degree-of-freedom assistive system; payload variation; sEMG signals; sEMG-driven assistance; sagittal plane; upper limb muscles; DC motors; Elbow; Equations; Joints; Muscles; Payloads; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
Conference_Location
Rome
ISSN
2155-1774
Print_ISBN
978-1-4577-1199-2
Type
conf
DOI
10.1109/BioRob.2012.6290717
Filename
6290717
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