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Evaluation of Validity and Reliability of Inertial Measurement Unit-Based Gait Analysis Systemsopen access

Authors
Cho, Young-ShinJang, Seong-HoCho, Jae-SungKim, Mi-JungLee, Hyeok DongLee, Sung YoungMoon, Sang-Bok
Issue Date
Dec-2018
Publisher
KOREAN ACAD REHABILITATION MEDICINE
Keywords
Gait analysis; Kinematics; Inertial measurement unit; Motion capture system; Rehabilitation
Citation
ANNALS OF REHABILITATION MEDICINE-ARM, v.42, no.6, pp.872 - 883
Indexed
SCOPUS
KCI
Journal Title
ANNALS OF REHABILITATION MEDICINE-ARM
Volume
42
Number
6
Start Page
872
End Page
883
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/148928
DOI
10.5535/arm.2018.42.6.872
ISSN
2234-0645
Abstract
Objective To replace camera-based three-dimensional motion analyzers which are widely used to analyze body movements and gait but are also costly and require a large dedicated space, this study evaluates the validity and reliability of inertial measurement unit (IMU)-based systems by analyzing their spatio-temporal and kinematic measurement parameters. Methods The investigation was conducted in three separate hospitals with three healthy participants. IMUs were attached to the abdomen as well as the thigh, shank, and foot of both legs of each participant. Each participant then completed a 10-m gait course 10 times. During each gait cycle, the hips, knees, and ankle joints were observed from the sagittal, frontal, and transverse planes. The experiments were conducted with both a camerabased system and an IMU-based system. The measured gait analysis data were evaluated for validity and reliability using root mean square error (RMSE) and intraclass correlation coefficient (ICC) analyses. Results The differences between the RMSE values of the two systems determined through kinematic parameters ranged from a minimum of 1.83 to a maximum of 3.98 with a tolerance close to 1%. The results of this study also confirmed the reliability of the IMU-based system, and all of the variables showed a statistically high ICC. Conclusion These results confirmed that IMU-based systems can reliably replace camera-based systems for clinical body motion and gait analyses.
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