TY - GEN
T1 - Modeling the relation between muscle thickness and wrist angle based on bone-muscle lever model
AU - Shi, Jun
AU - Zheng, Yongping
AU - Huang, Qinghua
AU - Zhu, Yisheng
PY - 2008
Y1 - 2008
N2 - Muscle modeling is a powerful tool to study the skeletal muscle, and can give a better perception of the mechanisms of muscular functions. In this study, a mathematical model was proposed based on the bone-muscle lever model to illuminate the non-linear relation between the thickness of extensor carpi radialis muscle and wrist angle. The ultrasound image, SEMG signals were synchronously sampled from the extensor carpi radialis muscle together with the wrist angle during the whole process of wrist extension and flexion to validate the model. The wrist angle was then calculated using the measured muscle thickness by this model. The overall mean correlation coefficient value was 0.96 ± 0.02, and the overall mean standard root mean square error was 5.82 ± 1.95, which were much better than the results of other regression methods. The results show that the wrist angle is well predicted by our model, and it suggests that this model is helpful to study the relationship between internal muscle structural changes and external limb behaviors.
AB - Muscle modeling is a powerful tool to study the skeletal muscle, and can give a better perception of the mechanisms of muscular functions. In this study, a mathematical model was proposed based on the bone-muscle lever model to illuminate the non-linear relation between the thickness of extensor carpi radialis muscle and wrist angle. The ultrasound image, SEMG signals were synchronously sampled from the extensor carpi radialis muscle together with the wrist angle during the whole process of wrist extension and flexion to validate the model. The wrist angle was then calculated using the measured muscle thickness by this model. The overall mean correlation coefficient value was 0.96 ± 0.02, and the overall mean standard root mean square error was 5.82 ± 1.95, which were much better than the results of other regression methods. The results show that the wrist angle is well predicted by our model, and it suggests that this model is helpful to study the relationship between internal muscle structural changes and external limb behaviors.
UR - http://www.scopus.com/inward/record.url?scp=61849103950&partnerID=8YFLogxK
U2 - 10.1109/iembs.2008.4649296
DO - 10.1109/iembs.2008.4649296
M3 - 会议稿件
C2 - 19162799
AN - SCOPUS:61849103950
SN - 9781424418152
T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
SP - 887
EP - 890
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PB - IEEE Computer Society
T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Y2 - 20 August 2008 through 25 August 2008
ER -