기능기반 형상변형기술을 응용한 환자맞춤형 근골격 모델의 보행패턴 예측에 관한 연구Musculoskeletal Models to Predict Patient-specific Gait Patterns Using Function-based Morphing Technique
- Other Titles
- Musculoskeletal Models to Predict Patient-specific Gait Patterns Using Function-based Morphing Technique
- Authors
- 박병건; 구본열; 박은주; 체재욱; 이순혁; 김재정
- Issue Date
- Dec-2012
- Publisher
- 한국CDE학회
- Keywords
- Computed muscle control; CMC; Digital musculoskeletal model; FBM; Functionbased morphing; Gait pattern prediction; Patient-specific model
- Citation
- 한국CDE학회 논문집, v.17, no.6, pp.443 - 455
- Indexed
- KCI
- Journal Title
- 한국CDE학회 논문집
- Volume
- 17
- Number
- 6
- Start Page
- 443
- End Page
- 455
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163951
- DOI
- 10.7315/CADCAM.2012.443
- ISSN
- 2508-4003
- Abstract
- The configuration of a musculoskeletal (MS) system is closely related to the individual motions of the human body. Many researches have been focused on evaluating the associations between the MS configuration and the individual motion using patient-specific MS models, but it still remains a challenging issue to accurately predict the motion by differed configurations of the MS system. The main objective of this paper is to predict the changes of a patient-specific gait by altering the geometric parameters of the hip joint using function-based morphing method (FBM). FBM is suitable for motion analysis since this method provide a robust way to morph a MS model while preserving the biomechanical functions of the bones. Computed-muscle control technique is used to calculate the muscle excitations to reproduce the targeted motion within a digital MS model without the motion-captured data. We applied this approach to a patient who has an abnormal gait pattern. Results showed that the femoral neck length and the angle significantly affect to the motion especially for the hip abduction angle during gait, and that this approach is suitable for gait prediction.
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