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Concurrent validity of DorsaVi wireless motion sensor system Version 6 and the Vicon motion analysis system during
Ruth P Chang1, Anne Smith2, Peter Kent2,3
1School of Allied Health, Curtin University, Perth, Australia. ruth.chang@postgrad.curtin.edu.au.
Wearable sensors accurately measure lumbar flexion during lifting tasks, showing good validity against motion analysis systems. These findings support their use for monitoring spine movement in individuals with low back pain.
Area of Science:
- Biomechanics
- Rehabilitation Engineering
- Wearable Technology
Background:
- Wearable sensor technology offers potential for accurate, out-of-clinic spine movement monitoring.
- Concurrent validity of wearable sensors for multiplane tasks like lifting remains largely unestablished.
- This study validates DorsaVi Version 6 sensors against Vicon motion analysis for lumbar flexion during lifting.
Purpose of the Study:
- To assess the concurrent validity of DorsaVi Version 6 wearable sensors compared to the Vicon motion analysis system.
- To measure lumbar flexion during symmetrical and asymmetrical lifting tasks.
- To determine the accuracy and reliability of wearable sensors for spine movement analysis in a clinical context.
Main Methods:
- Twelve participants (with and without back pain) wore DorsaVi sensors at T12 and S2 spinal levels.
- Participants performed symmetrical and asymmetrical lifting tasks.
- Data were analyzed using multilevel mixed-effects regression and Bland-Altman methods to compare sensor and Vicon system measurements.
Main Results:
- Root mean squared errors for through-range lumbar flexion were below 1.34° for symmetrical lifts and 1.90° for asymmetrical lifts.
- Mean differences and limits of agreement for peak flexion demonstrated acceptable variability across lift types.
- All measured errors were lower than previous research and within clinically acceptable thresholds.
Conclusions:
- DorsaVi Version 6 sensors demonstrate good concurrent validity with the Vicon system for measuring lumbar flexion during lifting.
- The root mean squared errors are below clinically acceptable thresholds, supporting sensor use.
- These findings support the application of these wearable sensors for assessing multi-plane lifting movements in populations with low back pain.
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