An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation
The accurate measurement of human joint torque is one of the research hotspots in the field of biomechanics. However, due to the complexity of human structure and muscle coordination in the process of movement, it is difficult to measure the torque of human joints in vivo directly. Based on the trad...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Hindawi Limited
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/909506c4884148e19d3e8f842ecedaeb |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:909506c4884148e19d3e8f842ecedaeb |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:909506c4884148e19d3e8f842ecedaeb2021-11-08T02:37:10ZAn Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation1754-210310.1155/2021/1985741https://doaj.org/article/909506c4884148e19d3e8f842ecedaeb2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1985741https://doaj.org/toc/1754-2103The accurate measurement of human joint torque is one of the research hotspots in the field of biomechanics. However, due to the complexity of human structure and muscle coordination in the process of movement, it is difficult to measure the torque of human joints in vivo directly. Based on the traditional elbow double-muscle musculoskeletal model, an improved elbow neuromusculoskeletal model is proposed to predict elbow muscle torque in this paper. The number of muscles in the improved model is more complete, and the geometric model is more in line with the physiological structure of the elbow. The simulation results show that the prediction results of the model are more accurate than those of the traditional double-muscle model. Compared with the elbow muscle torque simulated by OpenSim software, the Pearson correlation coefficient of the two shows a very strong correlation. One-way analysis of variance (ANOVA) showed no significant difference, indicating that the improved elbow neuromusculoskeletal model established in this paper can well predict elbow muscle torque.Bingshan HuHaoran TaoHongrun LuXiangxiang ZhaoJiantao YangHongliu YuHindawi LimitedarticleBiotechnologyTP248.13-248.65Biology (General)QH301-705.5ENApplied Bionics and Biomechanics, Vol 2021 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Biotechnology TP248.13-248.65 Biology (General) QH301-705.5 |
| spellingShingle |
Biotechnology TP248.13-248.65 Biology (General) QH301-705.5 Bingshan Hu Haoran Tao Hongrun Lu Xiangxiang Zhao Jiantao Yang Hongliu Yu An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| description |
The accurate measurement of human joint torque is one of the research hotspots in the field of biomechanics. However, due to the complexity of human structure and muscle coordination in the process of movement, it is difficult to measure the torque of human joints in vivo directly. Based on the traditional elbow double-muscle musculoskeletal model, an improved elbow neuromusculoskeletal model is proposed to predict elbow muscle torque in this paper. The number of muscles in the improved model is more complete, and the geometric model is more in line with the physiological structure of the elbow. The simulation results show that the prediction results of the model are more accurate than those of the traditional double-muscle model. Compared with the elbow muscle torque simulated by OpenSim software, the Pearson correlation coefficient of the two shows a very strong correlation. One-way analysis of variance (ANOVA) showed no significant difference, indicating that the improved elbow neuromusculoskeletal model established in this paper can well predict elbow muscle torque. |
| format |
article |
| author |
Bingshan Hu Haoran Tao Hongrun Lu Xiangxiang Zhao Jiantao Yang Hongliu Yu |
| author_facet |
Bingshan Hu Haoran Tao Hongrun Lu Xiangxiang Zhao Jiantao Yang Hongliu Yu |
| author_sort |
Bingshan Hu |
| title |
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| title_short |
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| title_full |
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| title_fullStr |
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| title_full_unstemmed |
An Improved EMG-Driven Neuromusculoskeletal Model for Elbow Joint Muscle Torque Estimation |
| title_sort |
improved emg-driven neuromusculoskeletal model for elbow joint muscle torque estimation |
| publisher |
Hindawi Limited |
| publishDate |
2021 |
| url |
https://doaj.org/article/909506c4884148e19d3e8f842ecedaeb |
| work_keys_str_mv |
AT bingshanhu animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT haorantao animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT hongrunlu animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT xiangxiangzhao animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT jiantaoyang animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT hongliuyu animprovedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT bingshanhu improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT haorantao improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT hongrunlu improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT xiangxiangzhao improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT jiantaoyang improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation AT hongliuyu improvedemgdrivenneuromusculoskeletalmodelforelbowjointmuscletorqueestimation |
| _version_ |
1718443021386645504 |