Evaluation of Validity and Reliability of Inertial Measurement Unit-Based Gait Analysis Systems
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초록
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.
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.
참고문헌 (38)
- Simon SR, "Quantification of human motion: gait analysis-benefits and limitations to its application to clinical problems", J Biomech, 37, pp.1869~1880 (2004)
- Sutherland DH, "The evolution of clinical gait analysis. Part II. kinematics", Gait Posture, 16, pp.159~179 (2002)
- Sutherland DH, "The evolution of clinical gait analysis. Part III. Kinetics and energy assessment", Gait Posture, 21, pp.447~461 (2005)
- Ugbolue UC, "The evaluation of an inexpensive, 2D, video based gait assessment system for clinical use", Gait Posture, 38, pp.483~489 (2013)
- Costigan PA, "Knee and hip kinetics during normal stair climbing", Gait Posture, 16, pp.31~37 (2002)
- Favre J, "Ambulatory measurement of 3D knee joint angle", J Biomech, 41, pp.1029~1035 (2008)
- Watanabe T, "A preliminary test of measurement of joint angles and stride length with wireless inertial sensors for wearable gait evaluation system", Comput Intell Neurosci, 2011, pp.975193~ (2011)
- Zheng H, "Position-sensing technologies for movement analysis in stroke rehabilitation", Med Biol Eng Comput, 43, pp.413~420 (2005)
- Cloete T, "Benchmarking of a full-body inertial motion capture system for clinical gait analysis", Conf Proc IEEE Eng Med Biol Soc, 2008, pp.4579~4582 (2008)
- Benedetti MG, "Inter-laboratory consistency of gait analysis measurements", Gait Posture, 38, pp.934~939 (2013)
- Boudarham J, "Variations in kinematics during clinical gait analysis in stroke patients", PLoS One, 8, pp.e66421~ (2013)
- Karasawa Y, "A trial of making reference gait data for simple gait evaluation system with wireless inertial sensors", Conf Proc IEEE Eng Med Biol Soc, 2013, pp.3427~3430 (2013)
- van Acht V, "Miniature wireless inertial sensor for measuring human motions", Conf Proc IEEE Eng Med Biol Soc, 2007, pp.6279~6282 (2007)
- Luinge HJ, "Measuring orientation of human body segments using miniature gyroscopes and accelerometers", Med Biol Eng Comput, 43, pp.273~282 (2005)
- Zhu R, "A real-time articulated human motion tracking using tri-axis inertial", magnetic sensors package, 2004, pp.12, 295~302
- 김문식, "Development of a High-Precision Calibration Method for Inertial Measurement Unit", International Journal of Precision Engineering and Manufacturing, 15(3), pp.567~575 (2014), 한국정밀공학회
- 이동규, "Test and Error Parameter Estimation for MEMS - Based Low Cost IMU Calibration", International Journal of Precision Engineering and Manufacturing, 12(4), pp.597~603 (2011), 한국정밀공학회
- "An efficient orientation filter for inertial and inertial/magnetic sensor arrays" (2010)[URL]
- Alvarez JC, "Multisensor approach to walking distance estimation with foot inertial sensing", Conf Proc IEEE Eng Med Biol Soc, 2007, pp.5720~5723 (2007)
- Dejnabadi H, "A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes", IEEE Trans Biomed Eng, 52, pp.1478~1484 (2005)
- Lau H, "The reliability of using accelerometer and gyroscope for gait event identification on persons with dropped foot", Gait Posture, 27, pp.248~257 (2008)
- Tong K, "A practical gait analysis system using gyroscopes", Med Eng Phys, 21, pp.87~94 (1999)
- Brennan A, "Quantification of inertial sensor-based 3D joint angle measurement accuracy using an instrumented gimbal", Gait Posture, 34, pp.320~323 (2011)
- 조재성, "관성센서 기반 보행 분석 시스템 구현", 재활복지공학회논문지, 9(2), pp.137~144 (2015), 한국재활복지공학회[DOI]
- Patterson MR, "An ambulatory method of identifying anterior cruciate ligament reconstructed gait patterns", Sensors (Basel), 14, pp.887~899 (2014)
- Greene BR, "An adaptive gyroscope-based algorithm for temporal gait analysis", Med Biol Eng Comput, 48, pp.1251~1260 (2010)
- Salarian A, "Gait assessment in Parkinson’s disease: toward an ambulatory system for longterm monitoring", IEEE Trans Biomed Eng, 51, pp.1434~1443 (2004)
- Sabatini AM, "Assessment of walking features from foot inertial sensing", IEEE Trans Biomed Eng, 52, pp.486~494 (2005)
- Feliz Alonso R, "Pedestrian tracking using inertial sensors", J Phys Agents, 3, pp.35~43 (2009)
- 이기혁, "관성측정장치를 이용한 보행거리 측정 시스템 개발", 재활복지공학회논문지, 9(2), pp.161~168 (2015), 한국재활복지공학회[DOI]
- Zhou H, "Inertial sensors for motion detection of human upper limbs", Sens Rev, 27, pp.151~158 (2007)
- 김충연, "Validation of Feasibility of Two Depth Sensor-based Microsoft Kinect Cameras for Human Abduction- Adduction Motion Analysis", International Journal of Precision Engineering and Manufacturing, 17(9), pp.1209~1214 (2016), 한국정밀공학회
- Hamacher D, "Towards clinical application: repetitive sensor position re-calibration for improved reliability of gait parameters", Gait Posture, 39, pp.1146~1148 (2014)
- Lutzner C, "Placement makes a difference: accuracy of an accelerometer in measuring step number and stair climbing", Gait Posture, 39, pp.1126~1132 (2014)
- Welch G, "Motion tracking: no silver bullet, but a respectable arsenal", IEEE Comput Graph Appl, 22, pp.24~38 (2002)
- Bautmans I, "Reliability and clinical correlates of 3D-accelerometry based gait analysis outcomes according to age and fall-risk", Gait Posture, 33, pp.366~372 (2011)
- Henriksen M, "Test-retest reliability of trunk accelerometric gait analysis", Gait Posture, 19, pp.288~297 (2004)
- Prince B, "Research methodology and applied statistics. Part 2. The literature search", Physiother Can, 32, pp.201~206 (1980)
