An Appropriate Criterion Reveals that Low Pass Filtering Can Improve the Estimation of Counter-movement Jump Height from Force Plate Data. Issue 4 (2nd October 2021)

• Record Type: Journal Article
• Authors: Pinto, Brendan L.; Callaghan, Jack P.
• Is Part Of: Measurement in physical education and exercise science. Volume 25:Issue 4(2021)
• Page Start: 344
• Page End: 352
• Publication Date: 2021-10-02
• Subjects: Butterworth -- error -- motion capture -- noise -- projectile motion; Physical fitness -- Testing -- Periodicals; Physical education and training -- Statistical methods -- Periodicals; Physical education and training -- Research -- Periodicals; 613.7
• DOI: 10.1080/1091367X.2021.1906253
• Languages: English
• ISSNs: 1091-367X

Abstract

ABSTRACT: Inconsistent filtering of force plate data persists in published studies. Previous evidence suggests that low pass filtering produces the largest error when calculating jump height, but used jump height from unfiltered force plate data as the criterion. This study investigated the effects of low pass filtering on jump height calculated from force plate data, using jump height recorded from optical motion capture as the criterion. Unfiltered as well as both single and dual pass filtered data, with cutoff frequencies of 100, 50 and 5 Hz, were used to calculate jump height using take-off velocity (TOV) and take-off velocity summed with displacement (TOV+s). The TOV+s method using the 5 Hz single pass filtered signal, best agreed with the criterion ( p < .001). This was accomplished through changes in the force-time signal that decreased velocity and increased displacement at take-off ( p < .001). This is contrary to previous recommendations and informs the development of standard procedures.