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Predicting timing of foot strike during running, independent of striking technique, using principal component analysis of joint angles.

Abstract：

:As 3-dimensional (3D) motion-capture for clinical gait analysis continues to evolve, new methods must be developed to improve the detection of gait cycle events based on kinematic data. Recently, the application of principal component analysis (PCA) to gait data has shown promise in detecting important biomechanical features. Therefore, the purpose of this study was to define a new foot strike detection method for a continuum of striking techniques, by applying PCA to joint angle waveforms. In accordance with Newtonian mechanics, it was hypothesized that transient features in the sagittal-plane accelerations of the lower extremity would be linked with the impulsive application of force to the foot at foot strike. Kinematic and kinetic data from treadmill running were selected for 154 subjects, from a database of gait biomechanics. Ankle, knee and hip sagittal plane angular acceleration kinematic curves were chained together to form a row input to a PCA matrix. A linear polynomial was calculated based on PCA scores, and a 10-fold cross-validation was performed to evaluate prediction accuracy against gold-standard foot strike as determined by a 10 N rise in the vertical ground reaction force. Results show 89-94% of all predicted foot strikes were within 4 frames (20 ms) of the gold standard with the largest error being 28 ms. It is concluded that this new foot strike detection is an improvement on existing methods and can be applied regardless of whether the runner exhibits a rearfoot, midfoot, or forefoot strike pattern.

journal_name

J Biomech

journal_title

Journal of biomechanics

authors

Osis ST,Hettinga BA,Leitch J,Ferber R

doi

10.1016/j.jbiomech.2014.06.009

subject

Has Abstract

pub_date

2014-08-22 00:00:00

pages

2786-9

issue

11

eissn

0021-9290

issn

1873-2380

pii

S0021-9290(14)00348-0

journal_volume

47

pub_type

杂志文章

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