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Author:

Dong, Mingjie (Dong, Mingjie.) | Chen, Yinbo (Chen, Yinbo.) | Wang, Chengyin (Wang, Chengyin.) | Li, Jianfeng (Li, Jianfeng.) | Ji, Run (Ji, Run.) | Fang, Bin (Fang, Bin.) | Zhuang, Qianyu (Zhuang, Qianyu.)

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Abstract:

Given the necessity to monitor the dynamic information pertaining to the human spinal column, this work introduces a dynamic three-dimensional spinal model based on the anatomical structure and spatial positioning information of the human spine. The objective of this model is to analyze the kinematic characteristics of the human spinal column during flexion and extension movements. The model is capable of utilizing a reduced set of angular variation parameters as input to process the motion trajectories of individual vertebral segments of the spinal column during flexion and extension processes. The relevant parameters within the model are collected through the VICON system and compared with spatial positioning information acquired from the VICON system. The results indicate that the model can effectively capture the spatial positional changes of the vertebrae throughout the entire flexion process, providing an effective method for the design of dynamic spinal motion monitoring. © 2024 IEEE.

Keyword:

Musculoskeletal system Physiological models

Author Community:

  • [ 1 ] [Dong, Mingjie]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Yinbo]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Wang, Chengyin]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Li, Jianfeng]College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Ji, Run]Key Laboratory of Human Motion Analysis and Rehabilitation Technology, The Ministry of Civil Affairs, National Research Center for Rehabilitation Technical Aids, Beijing; 100176, China
  • [ 6 ] [Fang, Bin]Beijing University of Posts and Telecommunications, Department of Artificial Intelligence, Beijing; 100876, China
  • [ 7 ] [Zhuang, Qianyu]Peking Union Medical College Hospital, Department of Orthopedics, Beijing; 100730, China

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Year: 2024

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 3

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