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- W4315852044 abstract "Concurrent biofeedback has been demonstrated to be an effective strategy for reducing running-related injuries (RRI) [1–3]. The majority of these RRI are overuse injuries related to impact accelerations [4,5]. However, information regarding impact accelerations is not accessible to the entire population since it requires an accelerometry system. The objective of this study was to investigate the validity and reliability of a new accelerometry system placed directly into the treadmill (AccTrea) and compare it to the traditional system placed directly on the athlete’s body (AccAthl). Thirty recreational athletes with no history of lower body injuries performed two running tests on different days. They ran for 5 min at 10 km/h and at a 0% slope and acceleration impacts and spatiotemporal parameters were collected in two sets of 10 s during the last minute taken in each measurement session. The first session intended to assess the validity of an AccTrea versus an AccAthl, and the second session intended to test its reliability. The results showed that AccTrea is a valid and reliable tool for measuring spatiotemporal parameters such as step length (validity intraclass correlation coefficient (ICC) = 0.94; reliability ICC = 0.92), step time (validity ICC = 0.95; reliability ICC = 0.96), and step frequency (validity ICC = 0.95; reliability ICC = 0.96) during running. The peak acceleration impact variables manifested a high reliability for both left (reliability ICC = 0.88) and right legs (reliability ICC = 0.85), and the peak impact asymmetry demonstrated a modest validity (ICC = 0.55). The valid and reliable results make the AccTrea system an appropriate tool with which to inform athletes about their running mechanics, bringing the laboratory data closer to the running community. " @default.
- W4315852044 created "2023-01-13" @default.
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- W4315852044 date "2022-11-01" @default.
- W4315852044 modified "2023-09-27" @default.
- W4315852044 title "Instrumented Treadmill with an Accelerometry System: A Valid and Reliable Tool for Running Analysis" @default.
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- W4315852044 doi "https://doi.org/10.3390/ecsa-9-13202" @default.
- W4315852044 hasPublicationYear "2022" @default.
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