TY - JOUR
T1 - 人体足地接触模型的步速适用性
AU - Peng, Yinghu
AU - Chen, Zhenxian
AU - Hu, Jiayu
AU - Zhang, Zhifeng
AU - Jin, Zhongmin
AU - Wei, Pingping
N1 - Publisher Copyright:
Copyright © 2019 by the Editorial Board of Journal of Medical Biomechanics.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Objective: To establish the musculoskeletal multi-body dynamic foot-ground contact model and explore its applicability at different speed. Methods: The gait data of the subjects at different speed were collected, and the foot-ground contact model was established based on the full body model from the musculoskeletal multibody dynamic software AnyBody. Then the calculated ground reaction forces (GRFs) and ground reaction moments (GRMs) at different speed (slow walking, normal walking, fast walking and jogging) were compared with the measurements from the force plates. Results: The predicted GRFs and GRMs correlated well with the experimental measurements at slow, normal and fast speed (stride speed ranged from 0.69 to 1.68 m/s). The correlation coefficients between predicted and measured GRFs were greater than 0.875 and the correlation coefficients for GRMs were greater than 0.9. Conclusions: The developed foot-ground contact model could simultaneously predict GRFs and GRMs with good accuracy, thus eliminating the dependency on force plates. The model could be applied to low-speed gait conditions, such as the elderly and pathological gait.
AB - Objective: To establish the musculoskeletal multi-body dynamic foot-ground contact model and explore its applicability at different speed. Methods: The gait data of the subjects at different speed were collected, and the foot-ground contact model was established based on the full body model from the musculoskeletal multibody dynamic software AnyBody. Then the calculated ground reaction forces (GRFs) and ground reaction moments (GRMs) at different speed (slow walking, normal walking, fast walking and jogging) were compared with the measurements from the force plates. Results: The predicted GRFs and GRMs correlated well with the experimental measurements at slow, normal and fast speed (stride speed ranged from 0.69 to 1.68 m/s). The correlation coefficients between predicted and measured GRFs were greater than 0.875 and the correlation coefficients for GRMs were greater than 0.9. Conclusions: The developed foot-ground contact model could simultaneously predict GRFs and GRMs with good accuracy, thus eliminating the dependency on force plates. The model could be applied to low-speed gait conditions, such as the elderly and pathological gait.
KW - Foot-ground contact model
KW - Gait
KW - Ground reaction force (GRF)
KW - Ground reaction moment (GRM)
KW - Musculoskeletal multi-body dynamics
UR - https://www.scopus.com/pages/publications/85075016996
U2 - 10.16156/j.1004-7220.2019.05.010
DO - 10.16156/j.1004-7220.2019.05.010
M3 - 文章
AN - SCOPUS:85075016996
SN - 1004-7220
VL - 34
SP - 514
EP - 521
JO - Yiyong Shengwu Lixue/Journal of Medical Biomechanics
JF - Yiyong Shengwu Lixue/Journal of Medical Biomechanics
IS - 5
ER -