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Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
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Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
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Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
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Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention
Journal Article

Effect of low pass filtering on joint moments from inverse dynamics: Implications for injury prevention

2012
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Overview
Analyses of joint moments are important in the study of human motion, and are crucial for our understanding of e.g. how and why ACL injuries occur. Such analyses may be affected by artifacts due to inconsistencies in the equations of motion when force and movement data are filtered with different cut-off frequencies. The purpose of this study was to quantify the effect of these artifacts, and compare joint moments calculated with the same or different cut-off frequency for the filtering of force and movement data. 123 elite handball players performed sidestep cutting while the movement was recorded by eight 240Hz cameras and the ground reaction forces were recorded by a 960Hz force plate. Knee and hip joint moments were calculated through inverse dynamics, with four different combinations of cut-off frequencies for signal filtering: movement 10Hz, force 10Hz, (10–10); movement 15Hz, force 15Hz; movement 10Hz, force 50Hz (10–50); movement 15Hz, force 50Hz. The results revealed significant differences, especially between conditions with different filtering of force and movement. Mean (SD) peak knee abduction moment for the 10–10 and 10–50 condition were 1.27 (0.53) and 1.64 (0.68) Nm/kg, respectively. Ranking of players based on knee abduction moments were affected by filtering condition. Out of 20 players with peak knee abduction moment higher than mean+1SD with the 10–50 condition, only 11 were still above mean+1SD when the 10–10 condition was applied. Hip moments were very sensitive to filtering cut-off. Mean (SD) peak hip flexion moment was 3.64 (0.75) and 5.92 (1.80) under the 10–10 and 10–50 conditions, respectively. Based on these findings, force and movement data should be processed with the same filter. Conclusions from previous inverse dynamics studies, where this was not the case, should be treated with caution.