Gyroscopic corrections improve wearable sensor data prior to measuring dynamic sway in the gait of people with Multiple Sclerosis
Journal article
Brodie, Matthew A. D., Psarakis, Michael and Hoang, Phu. (2016). Gyroscopic corrections improve wearable sensor data prior to measuring dynamic sway in the gait of people with Multiple Sclerosis. Computer Methods in Biomechanics and Biomedical Engineering. 19(12), pp. 1339 - 1346. https://doi.org/10.1080/10255842.2016.1140747
Authors | Brodie, Matthew A. D., Psarakis, Michael and Hoang, Phu |
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Abstract | Accelerometers are incorporated into many consumer devices providing new ways to monitor gait, mobility, and fall risk. However, many health benefits have not been realised because of issues with data quality that results from gravitational ‘cross-talk’ when the wearable device is tilted. Here we present an adaptive filter designed to improve the quality of accelerometer data prior to measuring dynamic pelvic sway patterns during a six minute walk test in people with and without Multiple Sclerosis (MS). Optical motion capture was used as the gold standard. Improved wearable device accuracy (≤4.4% NRMSE) was achieved using gyroscopic corrections and scaling filter thresholds by step frequency. The people with MS presented significantly greater pelvis sway range to compensate for their lower limb weaknesses and joint contractures. The visualisation of asymmetric pelvic sway in people with MS illustrates the potential to better understand their mobility impairments for reducing fall risk. |
Keywords | accelerometers; gait; wearable device; Multiple Sclerosis; gyroscope; fusion |
Year | 2016 |
Journal | Computer Methods in Biomechanics and Biomedical Engineering |
Journal citation | 19 (12), pp. 1339 - 1346 |
Publisher | Taylor and Francis Ltd |
ISSN | 1025-5842 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/10255842.2016.1140747 |
Scopus EID | 2-s2.0-84958059934 |
Page range | 1339 - 1346 |
Research Group | Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre |
Publisher's version | File Access Level Controlled |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/87530/gyroscopic-corrections-improve-wearable-sensor-data-prior-to-measuring-dynamic-sway-in-the-gait-of-people-with-multiple-sclerosis
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