Evaluation of Validity and Reliability of Inertial Measurement Unit-Based Gait Analysis Systemsopen access
- Authors
- Cho, Young-Shin; Jang, Seong-Ho; Cho, Jae-Sung; Kim, Mi-Jung; Lee, Hyeok Dong; Lee, Sung Young; Moon, 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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