Document Type
Article
Publication Title
PLoS One
Abstract
This study introduced a novel but simple method to continuously measure footstrike patterns in runners using inexpensive force sensors. Two force sensing resistors were firmly affixed at the heel and second toe of both insoles to collect the time signal of foot contact. A total of 109 healthy young adults (42 males and 67 females) were recruited in this study. They ran on an instrumented treadmill at 0°, +10°, and -10° inclinations and attempted rearfoot, midfoot, and forefoot landings using real time visual biofeedback. Intra-step strike index and onset time difference between two force sensors were measured and analyzed with univariate linear regression. We analyzed 25,655 footfalls and found that onset time difference between two sensors explained 80–84% of variation in the prediction model of strike index (R-squared = 0.799–0.836, p<0.001). However, the time windows to detect footstrike patterns on different surface inclinations were not consistent. These findings may allow laboratory-based gait retraining to be implemented in natural running environments to aid in both injury prevention and performance enhancement.
Pages
1-7
html
DOI
https://doi.org/10.1371/journal.pone.0175724
Publication Date
6-9-2017
Disciplines
Medicine and Health Sciences
ISSN
1932-6203
Recommended Citation
Cheung RTH, An WW, Au IPH, Zhang JH, Chan ZYS, Man A, et al. (2017) Measurement agreement between a newly developed sensing insole and traditional laboratory-based method for footstrike pattern detection in runners. PLoS ONE 12(6): e0175724. https://doi.org/10.1371/journal.pone.0175724
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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
(c) 2017 Cheung et al.