Variability of segment coordination using a vector coding technique: Reliability analysis for treadmill walking and running.
Coordination variability (CV) quantifies the variety of movement patterns an individual uses during a task and may provide a measure of the flexibility of that individual's motor system. While there is growing popularity of segment CV as a marker of motor system health or adaptability, it is not known how many strides of data are needed to reliably calculate CV. This study aimed to determine the number of strides needed to reliably calculate CV in treadmill walking and running, and to compare CV between walking and running in a healthy population. Ten healthy young adults walked and ran at preferred speeds on a treadmill and a modified vector coding technique was used to calculate CV for the following segment couples: pelvis frontal plane vs. thigh frontal plane, thigh sagittal plane vs. shank sagittal plane, thigh sagittal plane vs. shank transverse plane, and shank transverse plane vs. rearfoot frontal plane. CV for each coupling of interest was calculated for 2-15 strides for each participant and gait type. Mean CV was calculated across the entire gait cycle and, separately, for 4 phases of the gait cycle. For running and walking 8 and 10 strides, respectively, were sufficient to obtain a reliable CV estimate. CV was significantly different between walking and running for the thigh vs. shank couple comparisons. These results suggest that 10 strides of treadmill data are needed to reliably calculate CV for walking and running. Additionally, the differences in CV between walking and running suggest that the role of knee (i.e., inter-thigh- shank) control may differ between these forms of locomotion.
Musculoskeletal and Orthopedic Biomechanics Laboratory, Department of Kinesiology, University of Massachusetts Amherst, United States of America. Electronic address: jhafer@kin.umass.edu.
Jocelyn F
JF
Hafer
Musculoskeletal and Orthopedic Biomechanics Laboratory, Department of Kinesiology, University of Massachusetts Amherst, United States of America.
Katherine A
KA
Boyer
D000328:Adult; D001696:Biomechanical Phenomena; D005080:Exercise Test; D005260:Female; D005684:Gait; D006801:Humans; D008297:Male; D012016:Reference Values; D015203:Reproducibility of Results; D012420:Running; D016138:Walking; D055815:Young Adult
Coordination variability; Gait; Reliability; Running; Vector coding; Walking