A pilot case series for concurrent validation of inertial measurement units to motion capture in individuals who use unilateral lower-limb prostheses

Date

2023-07-13

Authors

Finco, M. G.
Patterson, Rita M.
Moudy, Sarah C.

ORCID

Journal Title

Journal ISSN

Volume Title

Publisher

Sage Publications

Abstract

INTRODUCTION: Inertial measurement units (IMUs) may be viable options to collect gait data in clinics. This study compared IMU to motion capture data in individuals who use unilateral lower-limb prostheses. METHODS: Participants walked with lower-body IMUs and reflective markers in a motion analysis space. Sagittal plane hip, knee, and ankle waveforms were extracted for the entire gait cycle. Discrete points of peak flexion, peak extension, and range of motion were extracted from the waveforms. Stance times were also extracted to assess the IMU software's accuracy at detecting gait events. IMU and motion capture-derived data were compared using absolute differences and root mean square error (RMSE). RESULTS: Five individuals (n = 3 transtibial; n = 2 transfemoral) participated. IMU prosthetic limb data was similar to motion capture (RMSE: waveform </=4.65 degrees ; discrete point </=9.04 degrees ; stance </=0.03s). However, one transfemoral participant had larger differences at the microprocessor knee joint (RMSE: waveform </=15.64 degrees ; discrete </=29.21 degrees ) from IMU magnetometer interference. Intact limbs tended to have minimal differences between IMU and motion capture data (RMSE: waveform </=6.33 degrees ; discrete </=9.87 degrees ; stance </=0.04s). CONCLUSION: Findings from this pilot study suggest IMUs have the potential to collect data similar to motion capture systems in sagittal plane kinematics and stance time.

Description

Citation

Finco, M. G., Patterson, R. M., & Moudy, S. C. (2023). A pilot case series for concurrent validation of inertial measurement units to motion capture in individuals who use unilateral lower-limb prostheses. Journal of rehabilitation and assistive technologies engineering, 10, 20556683231182322. https://doi.org/10.1177/20556683231182322

Rights

© The Author(s) 2023

License

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)