지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Vol.36 No.10
- 발행연도
- 2019.10
- 수록면
- 983 - 988 (6page)
- DOI
- 10.7736/KSPE.2019.36.10.983
이용수
초록· 키워드
오류제보하기
Safe pre-operative traction applied and maintained to the fractured site in fracture reduction surgery is crucial. However, existing traction techniques performed by clinicians or manual traction devices are not elaborate and have no traction force information considering differences in patients’ bodies. The purpose of this study was to evaluate joint loads of fractured sites as pre-operative traction forces considering body mass index (BMI) during fracture reduction surgeries using a robotassisted device. We developed a lower-extremity dummy model to measure joint loads at hip, knee, ankle, and fractured sites. In 240 cases, four BMI types, six traction forces and two fractured sites were used. Results showed that joint load on major joints decreased as BMI increased. Additionally, joint load increased proportionally in the fractured tibia, but showed inverse tendency in the fractured femur. Control errors of up to 20% in repetitive control and approximately 30% in random control were measured, in comparison to estimated joint loads. Control error increased as traction force decreased. It is possible that applicability of robot systems to safe and precise surgical assistance can be validated. More precise traction control and real-time traction load monitoring technology will enable replacement of traction techniques in the near future.
목차
1. 서론
2. 실험대상 및 방법
3. 실험 결과
4. 토론 및 결론
REFERENCES
참고문헌 (4)
참고문헌 신청
Oszwald, M., Westphal, R., Bredow, J., Calafi, A., Hufner, T., et al., “Robot Assisted Fracture Reduction Using Three Dimensional Intraoperative Fracture Visualization: An Experimental Study on Human Cadaver Femora,” Journal of Orthopaedic Research, Vol. 28, No. 9, pp. 1240-1244, 2010.
Graham, A. E., Xie, S., Aw, K., Xu, W., and Mukherjee, S., “Design of a Parallel Long Bone Fracture Reduction Robot with Planning Treatment Tool,” Proc. of the International Conference on Intelligent Robots and Systems, pp. 1255-1260, 2006.
Joung, S., Liao, H., Kobayashi, E., Mitsuishi, M., Nakajima, Y., et al., “Hazard Analysis of Fracture-Reduction Robot and its Application to Safety Design of Fracture-Reduction Assisting Robotic System,” Proc. of the International Conference on Robotics and Automation, pp. 1554-1561, 2010.
Ye, R., Chen, Y., and Yau, W., “A Simple and Novel Hybrid Robotic System for Robot-Assisted Femur Fracture Reduction,” Advanced Robotics, Vol. 26, Nos. 1-2, pp. 83-104, 2012.
Graham, A. E., Xie, S., Aw, K., Xu, W., and Mukherjee, S., “Design of a Parallel Long Bone Fracture Reduction Robot with Planning Treatment Tool,” Proc. of the International Conference on Intelligent Robots and Systems, pp. 1255-1260, 2006.
Joung, S., Liao, H., Kobayashi, E., Mitsuishi, M., Nakajima, Y., et al., “Hazard Analysis of Fracture-Reduction Robot and its Application to Safety Design of Fracture-Reduction Assisting Robotic System,” Proc. of the International Conference on Robotics and Automation, pp. 1554-1561, 2010.
Ye, R., Chen, Y., and Yau, W., “A Simple and Novel Hybrid Robotic System for Robot-Assisted Femur Fracture Reduction,” Advanced Robotics, Vol. 26, Nos. 1-2, pp. 83-104, 2012.
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