Comparison of three methods for identifying the heelstrike transient during walking gait |
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| Institution: | 1. Neuromuscular Research Laboratory, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;2. Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;3. Program in Human Movement Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;4. Department of Kinesiology, California State University, Fullerton;1. Human Engineering Research Laboratories, Department of Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA;2. Department of Rehabilitation Sciences and Technology, School of Health and Rehabilitation Sciences, University of Pittsburgh, PA, USA;1. Neurology Laboratory, Institute of Pediatrics, Children’s Hospital of Soochow University, Suzhou, Jiangsu 215003, China;2. Key Laboratory of Cerebral Microcirculation at the Universities of Shandong, Department of Neurology, Affiliated Hospital of Taishan Medical College, Taian, Shandong 271000, China |
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| Abstract: | Impulsive, or high rate, loading contributes to cartilage degradation and is commonly identified via the heelstrike transient (HST) in the vertical ground reaction force (vGRF) during gait. Investigation of the HST may improve our understanding of knee osteoarthritis mechanical pathogenesis. However, the most appropriate method for objectively identifying the HST is unclear. Twenty-eight healthy subjects walked at a self-selected pace while vGRF data were captured. The efficacies of three HST identification methods (Radin, Hunt, and Modified Hunt) were evaluated using vGRF data lowpass filtered at three frequencies (raw/unfiltered, 75 Hz, and 50 Hz). Both the HST identification method and lowpass filter frequency influenced whether a HST was identified and whether a subject was classified as an “impulsive loader” (i.e. HST identified in 3 of 5 trials). The methods identified different phenomena in the vGRF, with the Radin and Modified Hunt methods identifying the HST 11-16 ms following ground contact and the Hunt method identifying the HST 83–122 ms following ground contact. Lowpass filtering the vGRF at 75 Hz and implementing the Radin method was the most effective approach for identifying the HST. Future longitudinal observations are necessary to determine if specific HST criteria are indicative of knee osteoarthritis development and progression. |
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