A Processing Method for Kinematics Data of Human Knee Joint Obtained by Motion-Capture Measurement

Abstract Background: The data obtained by motion capture method is many and complex, so it is the key to find an efficient method to process the data. Therefore，to develop a processing method for kinematics data of human knee joint by programming on MATLAB software. Methods: The coordinate data of markers on human lower limb measured by motion capture system were firstly read and repaired through the program. Then the coordinate data of anatomical points in the movement of human lower limb were obtained by program processing. The local coordinate systems of human femur and tibia were established with anatomical points. After that the flexion/extension, abduction/adduction and internal/external rotation of human knee tibiofemoral joint in the movement of lower limb were obtained by coordinate transformation. Lastly, the motion capture and measurement of healthy volunteers were carried out and the MATLAB program was used for data processing. Results: Using the above methods, motion capture measurements and batch data processing were carried out on squatting and ascending stairs of 29 healthy volunteers to obtain the motion characteristics of the knee joint. As follows, the maximum range of internal and external rotation in squatting is 30.5 degrees, and the maximum range of internal and external rotation in climbing stairs is 16.5 degrees, etc., respectively compared with the results processed by other research methods, it is found that their movement results are basically consistent, thus verifying the reliability of our research method. Conclusion: The kinematics data of human knee joint could be processed accurately and effectively with the method by using MATLAB software, and the kinematics characteristics of human knee tibiofemoral joint were obtained. The processing method provides a reference for the designing and optimization of knee prosthesis, and the program can be modified for different purposes. At the same time, it is helpful to study knee joint movement of patients after total knee arthroplasty.

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A Data Process of Human Knee Joint Kinematics Obtained by Motion-Capture Measurement

10.21203/rs.3.rs-49920/v1 ◽

2020 ◽

Author(s):

Jian-ping Wang ◽

Shi-hua Wang ◽

Xuan Zhao ◽

Hai Hu ◽

Yan-qing Wang ◽

...

Keyword(s):

Knee Joint ◽

Motion Capture ◽

Lower Limb ◽

External Rotation ◽

Human Knee ◽

Data Process ◽

Human Knee Joint ◽

Maximum Angle ◽

Coordinate Data ◽

Climbing Stairs

Abstract Background: The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. A data process was developed for kinematics data obtain by programming on MATLAB software in this paper. Methods: The coordinate data of markers on human lower limb measured by motion capture system were firstly read and repaired through the program. Then the coordinate data of anatomical points in the movement of human lower limb were obtained by program processing. The local coordinate systems of human femur and tibia were established with anatomical points. After that the flexion/extension, abduction/adduction and internal/external rotation of human knee tibiofemoral joint in the movement of lower limb were obtained by coordinate transformation. Lastly, the motion capture and measurement of healthy volunteers were carried out and the MATLAB program was used for data process. Results: Using the above methods, motion capture measurements and batch data processing were carried out on squatting and climbing stairs of 29 healthy volunteers to obtain the motion characteristics of the knee joint. As followed, the maximum angle of internal and external rotation in squatting was 30.5 degrees, and the maximum angle of internal and external rotation in climbing stairs was 14 degrees, etc. The results of this paper also were respectively compared with the results processed by other research methods, and the results were basically consistent, thus the reliability of our research method was verified. Conclusion: The kinematics data of human knee joint could be processed accurately and effectively with the method programmed in MATLAB software, and the kinematics characteristics of human knee tibiofemoral joint were obtained. The processing method provided a reference for the designing and optimization of knee prosthesis, and the program can be modified for different purposes. At the same time, it is helpful to study knee joint movement of patients after total knee arthroplasty.

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A data process of human knee joint kinematics obtained by motion-capture measurement

10.21203/rs.3.rs-49920/v2 ◽

2020 ◽

Author(s):

Jian-ping Wang ◽

Shi-hua Wang ◽

Yan-qing Wang ◽

Hai Hu ◽

Jin-wei Yu ◽

...

Keyword(s):

Knee Joint ◽

Motion Capture ◽

Lower Limb ◽

External Rotation ◽

Human Knee ◽

Data Process ◽

Human Knee Joint ◽

Maximum Angle ◽

Coordinate Data ◽

Climbing Stairs

Abstract Background: The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. A data process was developed for kinematics data obtain by programming on MATLAB software in this paper. Methods: The coordinate data of markers on human lower limb measured by motion capture system were firstly read and repaired through the program. Then the coordinate data of anatomical points in the movement of human lower limb were obtained by program processing. The local coordinate systems of human femur and tibia were established with anatomical points. After that the flexion/extension, abduction/adduction and internal/external rotation of human knee tibiofemoral joint in the movement of lower limb were obtained by coordinate transformation. Lastly, the motion capture and measurement of healthy volunteers were carried out and the MATLAB program was used for data process. Results: Using the above methods, motion capture measurements and batch data processing were carried out on squatting and climbing stairs of 29 healthy volunteers to obtain the motion characteristics of the knee joint. As followed, the maximum angle of internal and external rotation in squatting was 30.5 degrees, and the maximum angle of internal and external rotation in climbing stairs was 14 degrees, etc. The results of this paper also were respectively compared with the results processed by other research methods, and the results were basically consistent, thus the reliability of our research method was verified. Conclusion: The kinematics data of human knee joint could be processed accurately and effectively with the method programmed in MATLAB software, and the kinematics characteristics of human knee tibiofemoral joint were obtained. The processing method provided a reference for the designing and optimization of knee prosthesis, and the program can be modified for different purposes. At the same time, it is helpful to study knee joint movement of patients after total knee arthroplasty.

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A data process of human knee joint kinematics obtained by motion-capture measurement

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-021-01483-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jian-ping Wang ◽

Shi-hua Wang ◽

Yan-qing Wang ◽

Hai Hu ◽

Jin-wei Yu ◽

...

Keyword(s):

Knee Joint ◽

Healthy Volunteers ◽

Motion Capture ◽

Human Body ◽

External Rotation ◽

Human Knee ◽

Data Process ◽

Matlab Program ◽

Flexion Extension ◽

Climbing Stairs

Abstract Background The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. An automatic kinematics data process was developed by programming on MATLAB software in this paper. Methods The motion capture measurement of healthy volunteers was carried out and the MATLAB program was used for data process. Firstly, the coordinate data of markers and anatomical points on human lower limb measured by motion capture system were read and repaired through the usual and the patch program. Meantime, the local coordinate systems of human femur and tibia were established with anatomical points. Then flexion/extension, abduction/adduction and internal/external rotation of human knee tibiofemoral joint were obtained by special coordinate transformation program. Results Using the above methods, motion capture measurements and batch data processing were carried out on squatting and climbing stairs of 29 healthy volunteers. And the motion characteristics (flexion/extension, internal/external rotation and adduction/abduction) of the knee joint were obtained. For example, the maximum internal/external rotation in squatting and climbing stairs were respectively was 30.5 degrees and 14 degrees, etc. Meantime, the results of this paper also were respectively compared with the results processed by other research methods, and the results were basically consistent, thus the reliability of our research method was verified. After calibration processing, the compiled MATLAB program of this paper can directly be used for efficient batch processing and avoiding manual modeling one by one. Conclusion A novel Patch Program of this paper has been developed, which can make reasonable compensation for missing and noise signals to obtain more complete motion data. At the same time, a universal data processing program has also been developed for obtaining the relative movement of various components of the human body, and the program can be modified for detail special analysis. These motion capture technologies can be used to judge whether the human body functions are abnormal, provide a reference for rehabilitation treatment and design of rehabilitation equipment, and evaluate the effectiveness before and after surgery.

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A Modeling Method of Human Knee Joint Based on Biomechanics

E3S Web of Conferences ◽

10.1051/e3sconf/202017902096 ◽

2020 ◽

Vol 179 ◽

pp. 02096

Author(s):

Jin Gao ◽

Yajing Wang ◽

Yahui Cui ◽

Xiaomin Ji ◽

Xupeng Wang

Keyword(s):

Knee Joint ◽

Geometric Model ◽

Processing Method ◽

Element Analysis ◽

Human Knee ◽

Human Knee Joint ◽

Modeling Software ◽

Total Knee ◽

3D Geometric Model

In order to establish an accurate model of human knee joint, which lays a foundation for the follow-up finite element analysis of knee joint and biomechanics analysis, the paper based on the theory of biomechanics and MRI, with the help of professional modeling software, provides a 3D geometric model modeling and materialization processing method of knee joint, and established a total knee joint model including femur, tibia, fibular, meniscus, cartilage, ligament and other related structures.

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