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Evaluation of Validity and Reliability of Inertial Measurement Unit-Based Gait Analysis Systems
- Source :
- Annals of Rehabilitation Medicine, Vol 42, Iss 6, Pp 872-883 (2018), Annals of Rehabilitation Medicine
- Publication Year :
- 2018
- Publisher :
- Korean Academy of Rehabilitation Medicine, 2018.
-
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.
- Subjects :
- Kinematics
Motion capture system
Intraclass correlation
0206 medical engineering
Validity
lcsh:Medicine
02 engineering and technology
03 medical and health sciences
0302 clinical medicine
Gait (human)
Inertial measurement unit
medicine
Computer vision
Reliability (statistics)
business.industry
Rehabilitation
lcsh:R
020601 biomedical engineering
Sagittal plane
medicine.anatomical_structure
Gait analysis
Original Article
Artificial intelligence
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 22340653 and 22340645
- Volume :
- 42
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Annals of Rehabilitation Medicine
- Accession number :
- edsair.doi.dedup.....63ce3d7d568592bc897efbe270a4b615