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http://dx.doi.org/10.1249/JSR.0000000000000944 | DOI Listing |
Sensors (Basel)
December 2024
Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne NE1 8ST, UK.
The analysis of running gait has conventionally taken place within an expensive and restricted laboratory space, with wearable technology offering a practical, cost-effective, and unobtrusive way to examine running gait in more natural environments. This pilot study presents a wearable inertial measurement unit (IMU) setup for the continuous analysis of running gait during an outdoor parkrun (i.e.
View Article and Find Full Text PDFScand J Med Sci Sports
January 2025
Faculty of Medicine, Health, and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.
Measuring lower extremity impact acceleration is a common strategy to identify runners with increased injury risk. However, existing axial peak tibial acceleration (PTA) thresholds for determining high-impact runners typically rely on small samples or fixed running speeds. This study aimed to describe the distribution of axial PTA among runners at their preferred running speed, determine an appropriate adjustment for investigating impact magnitude at different speeds, and compare biomechanics between runners classified by impact magnitude.
View Article and Find Full Text PDFSports Med Open
January 2025
Department of Health, Nutrition, and Food Sciences, Florida State University, Tallahassee, FL, USA.
Background: Little is known about the lower extremity muscle co-contraction patterns during sprinting and its relation to running velocity (i.e., performance).
View Article and Find Full Text PDFSensors (Basel)
December 2024
Faculty of Medicine, Department of Kinesiology, Université Laval, Quebec City, QC G1V OA6, Canada.
Foot strike patterns influence vertical loading rates during running. Running retraining interventions often include switching to a new foot strike pattern. Sudden changes in the foot strike pattern may be uncomfortable and may lead to higher step-to-step variability.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, 40127 Bologna, Italy.
Temporal parameters are crucial for understanding running performance, especially in elite sports environments. Traditional measurement methods are often labor-intensive and not suitable for field conditions. This study seeks to provide greater clarity in parameter estimation using a single device by comparing it to the gold standard.
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