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Computer Methods in Biomechanics and Biomedical Engineering Volume 22, 2019 - Issue sup1: 44th Congress of the Société de Biomécanique

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Abstract

Preliminary comparison between angular velocity and force measuring treadmill for running foot strike patterns classification

D. Benjamina Podiatry Medicine Department, Centre Luxembourg Paris, University of Reims Champagne-Ardenne, Reims, FranceCorrespondence[email protected]

B. Abbesb GRESPI/Université de Reims Champagne, Reims, France

S. Odofc ESIReims, University of Reims Champagne-Ardenne, Reims, France

J.B. Nolotc ESIReims, University of Reims Champagne-Ardenne, Reims, France

F. Fourchetd Physiotherapy Department, Head of research, Hospital La Tour, Geneva Switzerland

X. Chiementinb GRESPI/Université de Reims Champagne, Reims, France

R. Taiarb GRESPI/Université de Reims Champagne, Reims, France

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Pages S484-S486 | Published online: 22 May 2020

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https://doi.org/10.1080/10255842.2020.1714990
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References

Begg RK, Palaniswami M, Owen B. 2005. Zupport vector machines for automated gait classification. IEEE Trans Biomed Eng. 52(5):828–883.
PubMed Web of Science ®Google Scholar
Dierick F, Penta M, Renaut D, Detrembleur C. 2004. A force measuring treadmill in clinical gait analysis. Gait Post. 20(3):299–303.
PubMed Web of Science ®Google Scholar
Tom N, Novacheck T. 1998. The biomechanics of running. Gait Post. 7:77–95.
PubMed Web of Science ®Google Scholar
Tong K, Granat MH. 1999. A practical gait analysis system using gyroscopes. Med Eng Phys. 21(2):87–94.
PubMed Web of Science ®Google Scholar

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