DocumentCode :
1466656
Title :
A Practical Strategy for sEMG-Based Knee Joint Moment Estimation During Gait and Its Validation in Individuals With Cerebral Palsy
Author :
Kwon, Suncheol ; Park, Hyung-Soon ; Stanley, Christopher J. ; Kim, Jung ; Kim, Jonghyun ; Damiano, Diane L.
Author_Institution :
Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
59
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1480
Lastpage :
1487
Abstract :
Individuals with cerebral palsy have neurological deficits that may interfere with motor function and lead to abnormal walking patterns. It is important to know the joint moment generated by the patient´s muscles during walking in order to assist the suboptimal gait patterns. In this paper, we describe a practical strategy for estimating the internal moment of a knee joint from surface electromyography (sEMG) and knee joint angle measurements. This strategy requires only isokinetic knee flexion and extension tests to obtain a relationship between the sEMG and the knee internal moment, and it does not necessitate comprehensive laboratory calibration, which typically requires a 3-D motion capture system and ground reaction force plates. Four estimation models were considered based on different assumptions about the functions of the relevant muscles during the isokinetic tests and the stance phase of walking. The performance of the four models was evaluated by comparing the estimated moments with the gold standard internal moment calculated from inverse dynamics. The results indicate that an optimal estimation model can be chosen based on the degree of cocontraction. The estimation error of the chosen model is acceptable (normalized root-mean-squared error: 0.15-0.29, R: 0.71-0.93) compared to previous studies (Doorenbosch and Harlaar, 2003; Doorenbosch and Harlaar, 2004; Doorenbosch, Joosten, and Harlaar, 2005), and this strategy provides a simple and effective solution for estimating knee joint moment from sEMG.
Keywords :
diseases; electromyography; estimation theory; gait analysis; mean square error methods; muscle; 3D motion capture system; cerebral palsy; gait analysis; ground reaction force plates; isokinetic knee flexion; muscles; normalized root-mean-squared error; optimal estimation model; sEMG-based knee joint moment estimation; surface electromyography; walking; Calibration; Estimation; Joints; Knee; Legged locomotion; Mathematical model; Muscles; Cerebral palsy (CP); estimation of knee internal moment; muscular cocontraction; sEMG-moment relationship; Adolescent; Biomechanics; Cerebral Palsy; Child; Electromyography; Female; Gait; Humans; Knee Joint; Male; Models, Biological; Muscle Contraction; Reproducibility of Results; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2012.2187651
Filename :
6166865
Link To Document :
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