A Basic Study on Fall Patterns for Fracture Prevention System

골절방지 시스템을 위한 낙상 패턴에 관한 기초 연구

  • Kim S.H. (Dept. of Biomedical Engineering, CBNU) ;
  • Kim K. (Dept. of Biomedical Engineering, CBNU) ;
  • Jung S.H. (Dept. of Biomedical Engineering, CBNU) ;
  • Kim G.B. (Dept. of Biomedical Engineering, CBNU) ;
  • Kwon T.K. (Division of Bionics and Bioinformatics, CBNU) ;
  • Hong C.U. (Division of Bionics and Bioinformatics, CBNU) ;
  • Kim N.G. (Division of Bionics and Bioinformatics, CBNU)
  • 김성현 (전북대 의용생체공학과) ;
  • 김경 (전북대 의용생체공학과) ;
  • 정성환 (전북대 의용생체공학과) ;
  • 김기범 (전북대 의용생체공학과) ;
  • 권대규 (전북대 생체정보공학부) ;
  • 홍철운 (전북대 생체정보공학부) ;
  • 김남균 (전북대 생체정보공학부)
  • Published : 2005.06.01

Abstract

In recent years, the importance of the characterization of fall for a fracture prevention system keeps increasing since fracture from a fall can lead to serious health problems. Fall is one of the major sources which increase morbidity in elderly people. In terms of the cost and the influence to the quality of life, the most serious injury with hip fractures is caused by falls. The traditional methods in characterizing fall patterns have been mainly by the epidemiological surveys. With surveys, the exact data of fall patterns can not been acquired. In this paper, we measured and analyzed with the parameters related to fall pattern such as velocities and accelerations during the motion of falls using 3D motion capture program. We acquired the parameters of the fall pattern of intentional and unexpected fall. The result showed that the variation of velocity and acceleration during fall was very important in characterizing fall pattern, which of vital importance for the development of a fracture prevention system and for the safety of the elderly

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