Literature DB >> 31288933

Agreement between spatiotemporal parameters from a photoelectric system with different filter settings and high-speed video analysis during running on a treadmill at comfortable velocity.

Felipe García-Pinillos1, Pedro Á Latorre-Román2, Rodrigo Ramirez-Campillo3, Luis E Roche-Seruendo4.   

Abstract

The aim of this study was to determine the level of agreement between spatiotemporal gait characteristics from a photoelectric system with different filter settings and high-speed video analysis during running on a treadmill at comfortable velocity. Forty-nine runners performed a running protocol on a treadmill at comfortable velocity. Two systems were used to determine spatiotemporal parameters (i.e. contact time [CT], flight time [FT], step frequency [SF] and step length [SL]) during running: OptoGait system and high-speed video analysis at 1000 Hz. The collected data was re-filtered in the OptoGait software by using nine different settings (i.e. 0_0, 1_1, 2_2, 3_3, 3_4, 4_4, 4_5, 5_4 and 5_5), and compared to those obtained through video analysis. The Pearson correlation analysis revealed very large correlations (r > 0.9, p < 0.001) in CT, FT, SF and SL between both systems, regardless of the OptoGait's filter settings. The ICC reported an almost perfect association (ICC > 0.9) for both SL and SF regardless of the filter setting. However, large variations between filter settings according to the data from video analysis were reported in CT and FT (0_0, 1_1 and 2_2 filter settings obtained an association ICC > 0.9, whereas other filters obtained lower ICCs). Bland-Altman plots revealed small bias and error and no presence of heteroscedasticity of error for 1_1 setting. In conclusion, the filter setting for the OptoGait system should be considered to minimize the bias and error of spatiotemporal parameters measurement. For running on a treadmill, the 1_1 filter setting is recommended if gait parameters are to be compared to a high-speed video analysis (1000 Hz).
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Data; Filter; Kinematics; OptoGait; Running

Mesh:

Year:  2019        PMID: 31288933     DOI: 10.1016/j.jbiomech.2019.06.017

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Testing the Performance of an Innovative Markerless Technique for Quantitative and Qualitative Gait Analysis.

Authors:  Laura Simoni; Alessandra Scarton; Filippo Gerli; Claudio Macchi; Federico Gori; Guido Pasquini; Silvia Pogliaghi
Journal:  Sensors (Basel)       Date:  2020-11-20       Impact factor: 3.576

2.  Agreement Between the OptoGait and Instrumented Treadmill System for the Quantification of Spatiotemporal Treadmill Running Parameters.

Authors:  Amy N Weart; Erin M Miller; Gregory M Freisinger; Michael R Johnson; Donald L Goss
Journal:  Front Sports Act Living       Date:  2020-10-23

3.  A Single Sacral-Mounted Inertial Measurement Unit to Estimate Peak Vertical Ground Reaction Force, Contact Time, and Flight Time in Running.

Authors:  Aurélien Patoz; Thibault Lussiana; Bastiaan Breine; Cyrille Gindre; Davide Malatesta
Journal:  Sensors (Basel)       Date:  2022-01-20       Impact factor: 3.576

4.  Relationship between Reactive Strength and Leg Stiffness at Submaximal Velocity: Effects of Age on Distance Runners.

Authors:  Diego Jaén-Carrillo; Antonio Cartón-Llorente; Demetrio Lozano-Jarque; Alberto Rubio-Peirotén; Luis E Roche-Seruendo; Felipe García-Pinillos
Journal:  Int J Environ Res Public Health       Date:  2021-06-26       Impact factor: 3.390

  4 in total

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