Affiliation:
1. Biomedical Engineering Graduate Group, University of California, Davis, Davis, CA 95616, USA
2. Department of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA
3. Department of Neurobiology, Physiology, & Behavior, University of California, Davis, Davis, CA 95616, USA
Abstract
Twenty-seven methods of estimating vertical ground reaction force first peak, loading rate, second peak, average, and/or time series from a single wearable accelerometer worn on the shank or approximate center of mass during running were compared. Force estimation errors were quantified for 74 participants across different running surfaces, speeds, and foot strike angles and biases, repeatability coefficients, and limits of agreement were modeled with linear mixed effects to quantify the accuracy, reliability, and precision. Several methods accurately and reliably estimated the first peak and loading rate, however, none could do so precisely (the limits of agreement exceeded ±65% of target values). Thus, we do not recommend first peak or loading rate estimation from accelerometers with the methods currently available. In contrast, the second peak, average, and time series could all be estimated accurately, reliably, and precisely with several different methods. Of these, we recommend the ‘Pogson’ methods due to their accuracy, reliability, and precision as well as their stability across surfaces, speeds, and foot strike angles.
Funder
American College of Sports Medicine
Sigma Xi Scientific Research Honor Society
University of California Davis Library’s Open Access Fund
Natural Sciences and Engineering Research Council of Canada
Maury L Hull Endowed Fellowship for Musculoskeletal Biomechanics Research
University of California Davis Professors for the Future Fellowship
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Cited by
1 articles.
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