A wireless accelerometer node for reliable and valid measurement of lumbar accelerations during treadmill running |
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Authors: | Timothy R Lindsay James A Yaggie Stephen J McGregor |
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Institution: | 1. School of Health Promotion &2. Human Performance, Eastern Michigan University, Ypsilanti, MI, USA;3. School of Health Sciences &4. Human Performance, Ithaca College, Ithaca, NY, USA |
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Abstract: | This study investigated the reliability of a wireless accelerometer and its agreement with optical motion capture for the measurement of root mean square (RMS) acceleration during running. RMS acceleration provides a whole-body metric of movement mechanics and economy. Fifteen healthy college-age participants performed treadmill running for two 60-s trials at 2.22, 2.78, and 3.33 m/s and one trial of 150 s (five 30-s epochs) at 2.78 m/s. We assessed between-trial and within-trial reliability, and agreement in each axis between a trunk-mounted wireless accelerometer and a reflective marker on the accelerometer measured by optical motion capture. Intraclass correlations assessing between-trial repeatability were 0.89–0.97, depending on the axis, and intraclass correlations assessing within-trial repeatability were 0.99–1.00. Bland–Altman analyses assessing agreement indicated mean difference values between ?0.03 and 0.03 g, depending on the axis. Anterio-posterior acceleration had the greatest limits of agreement (LOA) (±0.12 g) and vertical acceleration had the smallest LOA (±0.03 g). For measuring RMS acceleration of the trunk, this wireless accelerometer node provides repeatable and valid measurement compared with the standard laboratory method of optical motion capture. |
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Keywords: | Optical motion capture root mean square agreement |
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