Literature DB >> 16386261

Movement variability cannot be determined reliably from no-marker conditions.

Roger Bartlett1, Melanie Bussey, Nick Flyger.   

Abstract

We sought to quantify the proportion of total variability due to movement variability in digitizing marker and no-marker conditions in treadmill running. Manually digitized markers gave variabilities in joint angles within 0.4 degrees of those from auto-tracking. Marker conditions allowed reliable estimation of movement variability by an experienced operator; the contribution of movement variability to total variability, expressed by omega-squared, had averages across the four operators of 97% for the knee angle and 93% for the hip. The no-marker condition did not allow reliable estimation of movement variability-the above figures fell, respectively, to 72% and 48%-and cannot be recommended. The group design in the marker condition produced omega-squared values of 97% knee and 91% hip, showing excellent objectivity (inter-operator reliability). However, without markers, these values fell to 47% and 15%, respectively, indicating that movement variability cannot be assessed objectively in no-marker conditions.

Mesh:

Year:  2005        PMID: 16386261     DOI: 10.1016/j.jbiomech.2005.10.020

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


  3 in total

Review 1.  Artificial intelligence in sports biomechanics: new dawn or false hope?

Authors:  Roger Bartlett
Journal:  J Sports Sci Med       Date:  2006-12-15       Impact factor: 2.988

2.  Quantifying frontal plane knee motion during single limb squats: reliability and validity of 2-dimensional measures.

Authors:  Craig R Gwynne; Sarah A Curran
Journal:  Int J Sports Phys Ther       Date:  2014-12

3.  Automated Gait Analysis Through Hues and Areas (AGATHA): A Method to Characterize the Spatiotemporal Pattern of Rat Gait.

Authors:  Heidi E Kloefkorn; Travis R Pettengill; Sara M F Turner; Kristi A Streeter; Elisa J Gonzalez-Rothi; David D Fuller; Kyle D Allen
Journal:  Ann Biomed Eng       Date:  2016-08-23       Impact factor: 3.934

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.