Validity of a wearable accelerometer device to measure average acceleration values during high speed running

Jeremy P. Alexander, Trent Hopkinson, Daniel Wundersitz, Benjamin Serpell, Jocelyn MARA, Nick BALL

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    Alexander, JP, Hopkinson, TL, Wundersitz, DWT, Serpell, BG, Mara, JK, and Ball, NB. Validity of a wearable accelerometer device to measure average acceleration values during high-speed running. J Strength Cond Res 30(11): 3007-3013, 2016 - The aim of this study was to determine the validity of an accelerometer to measure average acceleration values during high-speed running. Thirteen subjects performed three sprint efforts over a 40-m distance (n 39). Acceleration was measured using a 100-Hz triaxial accelerometer integrated within a wearable tracking device (SPI-HPU; GPSports). To provide a concurrent measure of acceleration, timing gates were positioned at 10-m intervals (0-40 m). Accelerometer data collected during 0-10 m and 10-20 m provided a measure of average acceleration values. Accelerometer data was recorded as the raw output and filtered by applying a 3-point moving average and a 10-point moving average. The accelerometer could not measure average acceleration values during high-speed running. The accelerometer significantly overestimated average acceleration values during both 0-10 m and 10-20 m, regardless of the data filtering technique (p < 0.001). Body mass significantly affected all accelerometer variables (p < 0.10, partial η 2 0.091-0.219). Body mass and the absence of a gravity compensation formula affect the accuracy and practicality of accelerometers. Until GPSports-integrated accelerometers incorporate a gravity compensation formula, the usefulness of any accelerometer-derived algorithms is questionable.

    Original languageEnglish
    Pages (from-to)3007-3013
    Number of pages7
    JournalJournal of Strength and Conditioning Research
    Volume30
    Issue number11
    DOIs
    Publication statusPublished - 2016

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    Alexander, Jeremy P. ; Hopkinson, Trent ; Wundersitz, Daniel ; Serpell, Benjamin ; MARA, Jocelyn ; BALL, Nick. / Validity of a wearable accelerometer device to measure average acceleration values during high speed running. In: Journal of Strength and Conditioning Research. 2016 ; Vol. 30, No. 11. pp. 3007-3013.
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    Validity of a wearable accelerometer device to measure average acceleration values during high speed running. / Alexander, Jeremy P. ; Hopkinson, Trent; Wundersitz, Daniel; Serpell, Benjamin; MARA, Jocelyn; BALL, Nick.

    In: Journal of Strength and Conditioning Research, Vol. 30, No. 11, 2016, p. 3007-3013.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Validity of a wearable accelerometer device to measure average acceleration values during high speed running

    AU - Alexander, Jeremy P.

    AU - Hopkinson, Trent

    AU - Wundersitz, Daniel

    AU - Serpell, Benjamin

    AU - MARA, Jocelyn

    AU - BALL, Nick

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    N2 - Alexander, JP, Hopkinson, TL, Wundersitz, DWT, Serpell, BG, Mara, JK, and Ball, NB. Validity of a wearable accelerometer device to measure average acceleration values during high-speed running. J Strength Cond Res 30(11): 3007-3013, 2016 - The aim of this study was to determine the validity of an accelerometer to measure average acceleration values during high-speed running. Thirteen subjects performed three sprint efforts over a 40-m distance (n 39). Acceleration was measured using a 100-Hz triaxial accelerometer integrated within a wearable tracking device (SPI-HPU; GPSports). To provide a concurrent measure of acceleration, timing gates were positioned at 10-m intervals (0-40 m). Accelerometer data collected during 0-10 m and 10-20 m provided a measure of average acceleration values. Accelerometer data was recorded as the raw output and filtered by applying a 3-point moving average and a 10-point moving average. The accelerometer could not measure average acceleration values during high-speed running. The accelerometer significantly overestimated average acceleration values during both 0-10 m and 10-20 m, regardless of the data filtering technique (p < 0.001). Body mass significantly affected all accelerometer variables (p < 0.10, partial η 2 0.091-0.219). Body mass and the absence of a gravity compensation formula affect the accuracy and practicality of accelerometers. Until GPSports-integrated accelerometers incorporate a gravity compensation formula, the usefulness of any accelerometer-derived algorithms is questionable.

    AB - Alexander, JP, Hopkinson, TL, Wundersitz, DWT, Serpell, BG, Mara, JK, and Ball, NB. Validity of a wearable accelerometer device to measure average acceleration values during high-speed running. J Strength Cond Res 30(11): 3007-3013, 2016 - The aim of this study was to determine the validity of an accelerometer to measure average acceleration values during high-speed running. Thirteen subjects performed three sprint efforts over a 40-m distance (n 39). Acceleration was measured using a 100-Hz triaxial accelerometer integrated within a wearable tracking device (SPI-HPU; GPSports). To provide a concurrent measure of acceleration, timing gates were positioned at 10-m intervals (0-40 m). Accelerometer data collected during 0-10 m and 10-20 m provided a measure of average acceleration values. Accelerometer data was recorded as the raw output and filtered by applying a 3-point moving average and a 10-point moving average. The accelerometer could not measure average acceleration values during high-speed running. The accelerometer significantly overestimated average acceleration values during both 0-10 m and 10-20 m, regardless of the data filtering technique (p < 0.001). Body mass significantly affected all accelerometer variables (p < 0.10, partial η 2 0.091-0.219). Body mass and the absence of a gravity compensation formula affect the accuracy and practicality of accelerometers. Until GPSports-integrated accelerometers incorporate a gravity compensation formula, the usefulness of any accelerometer-derived algorithms is questionable.

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    KW - sprinting

    KW - wearable tracking device

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