Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Validation on the Application of Bluetooth-based Inertial Measurement Unit for Wireless Gait Analysis

무선 보행 분석을 위한 블루투스 기반 관성 측정 장치의 활용 타당성 분석

  • Hwang, Soree (Center for Bionics, Korea Institute of Science and Technology (KIST)) ;
  • Sung, Joohwan (Center for Bionics, Korea Institute of Science and Technology (KIST)) ;
  • Park, Heesu (Center for Bionics, Korea Institute of Science and Technology (KIST)) ;
  • Han, Sungmin (Center for Bionics, Korea Institute of Science and Technology (KIST)) ;
  • Yoon, Inchan (Center for Bionics, Korea Institute of Science and Technology (KIST))
  • 황소리 (한국과학기술연구원 의공학연구소 바이오닉스연구단) ;
  • 성주환 (한국과학기술연구원 의공학연구소 바이오닉스연구단) ;
  • 박희수 (한국과학기술연구원 의공학연구소 바이오닉스연구단) ;
  • 한성민 (한국과학기술연구원 의공학연구소 바이오닉스연구단) ;
  • 윤인찬 (한국과학기술연구원 의공학연구소 바이오닉스연구단)
  • Received : 2020.03.25
  • Accepted : 2020.04.17
  • Published : 2020.06.30
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Abstract

The purpose of this paper is to review the validation on the application of low frequency IMU(Inertial Measurement Unit) sensors by replacing high frequency motion analysis systems. Using an infrared-based 3D motion analysis system and IMU sensors (22 Hz) simultaneously, the gait cycle and knee flexion angle were measured. And the accuracy of each gait parameter was compared according to the statistical analysis method. The Bland-Altman plot analysis method was used to verify whether proper accuracy can be obtained when extracting gait parameters with low frequency sensors. As a result of the study, the use of the new gait assessment system was able to identify adequate accuracy in the measurement of cadence and stance phase. In addition, if the number of gait cycles is increased and the results of body anthropometric measurements are reflected in the gait analysis algorithm, is expected to improve accuracy in step length, walking speed, and range of motion measurements. The suggested gait assessment system is expected to make gait analysis more convenient. Furthermore, it will provide patients more accurate assessment and customized rehabilitation program through the quantitative data driven results.

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