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A MULTI-SEGMENTED APPROACH TO THE QUANTIFICATION OF TRUNK MOVEMENT DURING GAIT

Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA

Department of Exercise Science, University of Scranton, PA 18505, USA

E-mail Address: scott.breloff@scranton.edu

Correspondence to: Dr. Scott P. Breloff, Department of Exercise Science, University of Scranton, Scranton, PA 18510, USA.

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and

Li-Shan Chou

Department of Human Physiology, University of Oregon, Eugene, OR 97403, USA

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https://doi.org/10.1142/S0218957715500098Cited by:8 (Source: Crossref)

Abstract

Typical gait analyses commonly define the trunk as a single rigid segment, which overlooks its inter-segmental motion. The current study examined the validity and reliability of a multi-segmented trunk marker set and the quantification of trunk motion during gait. A total of 10 young subjects were tested on two different days using identical procedures which incorporated a 22-marker set to define 7 trunk segments. Validity was evaluated by comparing results to a previous protocol. Reliability was assessed with the range of motion (ROM), coefficient of multiple correlation (CMC) and intraclass correlation coefficient (ICC). The multi-segmented trunk marker set was able to reveal different inter-segmental movement patterns. During gait, ROM reliability was approximately 92%, and within-day CMC displayed moderate to strong reliabilities while between-day CMC data had moderately weak to moderately strong associations of the multi-segmented angle waveform trajectories. Reliability of the peak angles, assessed by ICC ranged from poor to almost perfect. The findings provide trends that suggest the incorporation of a multi-segmented trunk marker set could add a useful assessment to gait analysis.

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