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연제번호 : 7 북마크
제목 Validity and Reliability of Motion analysis of Arm Using Multiple MEMS based IMU sensor
소속 Yonsei University College of Medicine, Department and Research Institute of Rehabilitation Medicine1, Yonsei University College of Medicine, Department and Research Institute of Rehabilitation Medicine2
저자 Ae Ryoung Kim1,1*, Hyoseon Choi1,1, Sun Mi Lee1,2, Dong Wook Rha1,1, Deog Young Kim1,1†
Purpose: The motion analysis of upper extremity is recently used for the evaluation of patients with disease of the central nervous system such as stroke, SCI. The Rapael Smart glove is a game-type medical equipment developed for the purpose of movement training of arm and hand. The aim of this study was to investigate the possibilities of accurate motion analysis using IMU sensor in Rapael Smart glove comparing to conventional motion capture analysis (VICON).
Method: The study was conducted in two steps. In the first phase, for the correction of measurement algorithm, we compared degrees of IMU sensor with attached to equipment for measuring joint angles. And then we compared degrees of specific 6 motions (forearm supination/pronation, wrist flexion/extension, radial deviation/ulnar deviation) during ROM and task(reach and grasp) of ten participants using IMU sensor and that using VICON. In the second phase, the validity and reliability of motion analysis using IMU sensor were evaluated. In first step, degrees of specific motions of thirty participants were measured using IMU sensor and VICON by same investigator for two times to evaluate the validity. And after one week, degrees of each motion were measured in the same way by other investigator to evaluate the reliability. Bland-Altman plot and Scatter plot were used to analyze difference between two motion analysis methods.
Results: In the first phase, to compare of degree of motion between IMU sensor and VICON, we calculated RMSEs of each of 6 motions (pronation/supination, flexion/extension, ulnar/radial deviation) during ROM and reach and grasp task. All RMSEs were under 5 and the RMSE of wrist flexion/extension during ROM was 4.53 which was the highest value. For estimation of validity and reliability of motion analysis using the IMU sensor, RMSE of degrees measured by IMU sensor and VICON was obtained in the second phase. RMSEs during task were greater than those during ROM. Among ROM, RMSE of forearm pronation/supination was the highest value. Between IMU sensor and VICON, ICCs were 0.9 or more in all ROMs and tasks. In Bland-Altman plot and Scatter plot, all results from IMU sensor were correlated with those from VICON during all ROMs and tasks.
Conclusion: This study revealed that the values obtained by using IMU sensor, a novel motion analysis method had meaningful correlations with those using VICON during active motion and reach and grasp task. Therefore, we believe that Rapael smart glove using IMU sensor could play a role as a useful alternative or supplement to standard VICON in motion analysis of upper extremity motion analysis.

ACKNOWLEDGMENTS
This research was supported by 'User(Hospital) Test for New Domestic Medical Device' of the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea