A Comparison of Inertial Motion Capture Systems: DorsaVi and Xsens

Alisa Drapeaux, Kevin Carlson

Abstract


Background: dorsaVi Professional Suite, founded in 2018, is a 3D wearable sensor technology system that monitors the kinematic data of the lower extremity and lumbar spine. The dorsaVi system is used in the clinical setting to assist with clinical rehabilitation and preventive measures. Objective: The purpose of this study was to compare the inertial motion capture systems: the dorsaVi Professional Suite and Xsens to determine validity and reliability. Methods: This study utilized nine participants (7 female, 2 male) with data collected on two separate sessions. Each subject performed 15 repetitions each of double leg squats, left single leg squat, and right single leg squat during session one and then repeated the same testing procedure 7-10 days later. Kinematic variables measured were tibial inclination, knee varus, and knee valgus. Pearson product moment correlation coefficients were used to demonstrate the relationship within and between the motion capture systems across the knee positions and squat trials. Results: Within system reliability measurements demonstrated strong correlations (r>0.90) of the lower extremity kinematic data between testing sessions. Between system validity measurements also demonstrated strong correlations (r>0.90) across all lower extremity movements. Conclusions: The dorsaVi Professional Suite knee module kinematic data showed strong correlations to the validated motion capture system (Xsens). Thus, a clinician should be confident in using the dorsaVi in the evaluation, diagnosis, and treatment of patients.

Keywords


Inertial Motion Unit (IMU), Movement, Lower Extremity, Physical Therapy, Dorsavi, Biomechanical Phenomena

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References


Baker, R (2006). Gait analysis methods in rehabilitation. Journal of Neuroengineering and Rehabilitation, 3(1), 4 DOI:10.1186/1743-0003-3-4.

Charry, E., Hu., W., Umer, M., Ronchi, A., and Taylor, S (2013). Study on estimation of peak ground reaction forces using tibial accelerations in running. IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Melbourne, 288-293, DOI: 10.1109/ISSNIP.2013.6529804.

DorsaVi. [Online] Available: https://www.dorsavi.com/us/en/professional-suite/. Retrieved on: 5/27/2020 and 7/12/20.

Eltoukhy, M., Kuenze, C., Oh, J., Wooten, S., and Signorile, J. (2017). Kinect-based assessment of lower limb kinematics and dynamic postural control during the star excursion balance test. Gait and Posture, 58, 421-427. DOI: 10.1016/j.gaitpost.2017.09.010.

Garner, J., Parish, L., Shaw, K., Wilson, P., Donahue, P. (2020). Using Motion Sensor Technology to Manage Risk of Injury in a Strength and Conditioning Program for Female Collegiate Athletes. International Journal of Kinesiology & Sports Science 8 (1): 31-36. DOI: 10.7575/aiac.ijkss.v.8n.1p.31

Hughes, T., Jones, R. K., Starbuck, C., Sergeant, J. C., & Callaghan, M. J. (2019). The value of tibial mounted inertial measurement units to quantify running kinetics in elite football (soccer) players. A reliability and agreement study using a research orientated and a clinically orientated system. Journal of electromyography and kinesiology: official journal of the International Society of Electrophysiological Kinesiology, 44(2), 156–164. DOI: 10.1016/j.jelekin.2019.01.001.

Hu, W., Charry, E., Umer, M., Ronchi, A., Taylor., S. (2014, April). An inertial sensor system for measurements of tibia angle with applications to knee valgus/varus detection. In 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-6). IEEE. DOI: 1-6. 10.1109/ISSNIP.2014.6827603.

Khurelbaatar, T., Kim, K., Lee, S.K., and Kim, Y.H. (2015). Consistent accuracy in whole-body joint kinetics during gait using wearable inertial motion sensors and in-shoe pressure sensors. Gait & Posture, 42(1), 65-69. DOI: 10.1016/j.gaitpost.2015.04.007.

Lanovaz, J., Musselman, K., Oates, A., Treen, T., and Unger., J. (2017). Validation of a commercial inertial sensor system for spatiotemporal gait measurements in children. Gait & Posture 51, 14-19. DOI: 10.1016/j.gaitpost.2016.09.021.

Luinge, H.J., and Veltink, P.H. (2005). Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Medical and Biological Engineering and Computing, 43(2), 273-282. DOI: 10.1007/BF02345966.

Mjosund, H.L., Boyle, E., Kjaer, P., Mieritz, R.M., Skallgard, T. and Kent, P. (2017). Clinically acceptable agreement between the ViMove wireless motion sensor system and the Vicon motion capture system when measuring lumbar region inclination motion in the sagittal and coronal planes. BMC Musculoskeletal Disorders, 18 (1), 124. DOI: 10.1186/s12891-017-1489-1.

Mohammed, A.A., Nicholas, K., Button, K., Sparkes, V., Sheeran, L. and Davies, J.L. (2018). Inertial measurement units for clinical movement analysis: reliability and concurrent validity, Sensors, 18(3), 719-748. DOI: 10.3390/s18030719.

Mukaka M. M. (2012). Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi medical journal: the journal of Medical Association of Malawi, 24(3), 69–71.

Robert-Lachaine, X., Mecheri, H., Larue, C. and Plamondon, A. (2017). Validation of inertial measurement units with an optoelectronic system for whole body motion analysis. Medical and Biological Engineering and Computing, 55(4), 609-619. DOI: 10.1007/s11517-016-1537-2.

Willy, R. W. (2018). Innovations and pitfalls in the use of wearable devices in the prevention and rehabilitation of running related injuries. Physical Therapy in Sport, 29, 26-33. DOI: 10.1016/j.ptsp.2017.10.003.




DOI: https://doi.org/10.7575/aiac.ijkss.v.8n.3p.24

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