운동의도 검출을 위한 근육반력과 근전도의 비교
Comparison of EMG and Muscle Reaction Force to Detect Exercise Intention
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Activeness of exercise is critical for stroke rehabilitation so that application of stimulation in response to patient's intention would be effective in FES cycling. The purpose of this study was to investigate the relationship between muscle reaction force (MRF) and electromyogram (EMG) during cycling exercise, for the future usage of MRF as patients' intention signal. Seven young men (24 ± 1.63 yrs) participated in this study. Cycling speed was set to 20 RPM and 60 RPM. MRF and EMG were measured in the vastus lateralis muscle of right leg. Active cycling was performed at the maximal load (16 Nm) of an ergometer. Angle dependent artifact in MRF was measured from passive cycling and was subtracted from the MRF of active cycling. The delay of MRF with respect to EMG envelope and their correlation coefficients were derived from the best of cross correlation. MRF was significantly correlated with EMG amplitude in all subjects (p < 0.01). Their mean correlations were 0.84 and 0.91 for 20 RPM and 60 RPM,respectively. Mean delay in MRF was 59.14 ms and 53.14 ms for 20 RPM and 60 RPM, respectively. The result suggests that MRF can be used to assess patient's intention for exercise as a substitute to EMG. The method may be applied to FES cycling to encourage patient's effort which is critical for stroke rehabilitation.
Abstract
Activeness of exercise is critical for stroke rehabilitation so that application of stimulation in response to patient's intention would be effective in FES cycling. The purpose of this study was to investigate the relationship between muscle reaction force (MRF) and electromyogram (EMG) during cycling exercise, for the future usage of MRF as patients' intention signal. Seven young men (24 ± 1.63 yrs) participated in this study. Cycling speed was set to 20 RPM and 60 RPM. MRF and EMG were measured in the vastus lateralis muscle of right leg. Active cycling was performed at the maximal load (16 Nm) of an ergometer. Angle dependent artifact in MRF was measured from passive cycling and was subtracted from the MRF of active cycling. The delay of MRF with respect to EMG envelope and their correlation coefficients were derived from the best of cross correlation. MRF was significantly correlated with EMG amplitude in all subjects (p < 0.01). Their mean correlations were 0.84 and 0.91 for 20 RPM and 60 RPM,respectively. Mean delay in MRF was 59.14 ms and 53.14 ms for 20 RPM and 60 RPM, respectively. The result suggests that MRF can be used to assess patient's intention for exercise as a substitute to EMG. The method may be applied to FES cycling to encourage patient's effort which is critical for stroke rehabilitation.
참고문헌 (11)
- S. H Jang, "Differences of cortical activation pattern between cortical and corona radiata infarct", Neuroscience Letters, 417, pp.138~142 (2007)
- Teasell R, "Progress in clinical neurosciences : stroke recovery and rehabilitation", Can J neurol Sci, 33(4), pp.357~364 (2006)
- Bütefisch C, "Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand", J Neurol Sci, 130, pp.59~68 (1995)
- Nudo RJ, "Neural substrates for the effects of rehabilitative training on motor recovery after ischemic infarct", Science, 272, pp.1791~1794 (1996)
- R. Li, "Combined Electromyography(EMG)-Driven System with Functional Electrical Stimulation(FES)for Poststroke Rehabilitation", Biomedical Robotics and Biomechatronics, pp.642~646 (2008)
- 김경, "근육 강성도 힘 피드백을 이용한 하지 보조기의 무릎 신전 운동 보조 특성 분석", 의공학회지, 31(3), pp.217~226 (2010), 대한의용생체공학회
- Emilia Ambrosini, "Cycling induced by electrical stimulation improves motor recovery in postacute hemiparetic patients a randomized controlled trial", Journal of the American heart association, Res., 42(4), pp.1068~1073 (2011)
- P. F. Vint, "Electromechanical delay in isometric actions initiated from nonresting levels", Med. Sci. Sports Exerc, 33, pp.978~983 (2001)
- G. Sarre, "Cycling exercise and the determination of electromechanical delay", Journal of Electromyography and Kinesiology, 17, pp.617~621 (2007)
- Duncan PW, "“Measurement of motor recovery after stroke”, Outcome assessment and sample size requirements", Stroke, 23, pp.1084~1089 (1992)
- J. H. Hur, "Analysis of EMG Pattern with Various Pedaling Rate"
