Detection of Swing Heel-off Event in Gait Initiation Using Force-plate Data
Overview
Affiliations
This study investigated the accuracy and reliability of four methods using force-plate data for detecting the swing heel-off (HO) time in gait initiation. Results of these methods were compared to those obtained by means of a reference method using a footswitch. Ten young healthy adults performed 18 forward gait initiation trials at self-selected speed and at maximal speed. Results showed that the method based on vertical impulse was the most accurate and reliable in determining HO in both speed conditions. The mean error obtained with this method was -8±10ms in the self-selected speed condition (-7±10ms in the maximal speed condition), with no significant effect of gait speed (P>0.05). These findings suggest that this method based on force-plate data is valid and reliable for detecting HO in forward gait initiation in the absence of additional hardware.
Mortezanejad M, Ebrahimabadi Z, Rahimi A, Maleki A, Baghban A, Ehsani F BMC Sports Sci Med Rehabil. 2024; 16(1):248.
PMID: 39695841 PMC: 11657741. DOI: 10.1186/s13102-024-01033-x.
Kim Y, Visscher R, Viehweger E, Singh N, Taylor W, Vogl F PLoS One. 2022; 17(10):e0275878.
PMID: 36227847 PMC: 9562216. DOI: 10.1371/journal.pone.0275878.
Flexible Machine Learning Algorithms for Clinical Gait Assessment Tools.
Greve C, Tam H, Grabherr M, Ramesh A, Scheerder B, Hijmans J Sensors (Basel). 2022; 22(13).
PMID: 35808456 PMC: 9269679. DOI: 10.3390/s22134957.
Delafontaine A, Vialleron T, Diakhate D, Fourcade P, Yiou E Sci Rep. 2022; 12(1):6055.
PMID: 35410364 PMC: 9001680. DOI: 10.1038/s41598-022-10101-6.
Russo Y, Marinkovic D, Obradovic B, Vannozzi G Sensors (Basel). 2021; 21(24).
PMID: 34960335 PMC: 8706929. DOI: 10.3390/s21248244.