Validating Center-of-Pressure Balance Measurements Using the MatScan® Pressure Mat

in Journal of Sport Rehabilitation

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John Goetschius
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Mark A. Feger
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Jay Hertel
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Joseph M. Hart
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Context: Measurements of center-of-pressure (COP) excursions during balance are common practice in clinical and research settings to evaluate adaptations in postural control due to pathological or environmental conditions. Traditionally measured using laboratory force plates, pressure-mat devices may be a suitable option for clinicians and scientist to measure COP excursions. Objective: Compare COP measures and changes during balance between MatScan® pressure mat and force plate. Design: Validation study. Setting: Laboratory. Participants: 30 healthy, young adults (19 female, 11 male, 22.7 ± 3.4 y, 70.3 ± SD kg, 1.71 ± 0.09 m). Main Outcomes: COP excursions were simultaneously measured using pressure-mat and force-plate devices. Participants completed 3 eyes-open and 3 eyes-closed single-leg balance trials (10 s). Mean of the 3 trials was used to calculate 4 COP variables: medial-lateral and anterior-posterior excursion, total distance, and area with eyes open and eyes closed. Percent change and effect sizes were calculated between eyes-open to eyes-closed conditions for each variable and for both devices. Results: All COP variables were highly correlated between devices for eyes-open and eyes-closed conditions (all r > .92, P < .001). Bland-Altman plots suggest the pressure-mat COP measurements were smaller than those of the force-plate, and the differences between devices appeared to increase as the measurement magnitude increased. Percent change in COP variables was highly correlated between devices (r > .85, P < .001). Cohen d effect sizes between eyes-open and eyes-closed were all large (d > 2.25) and similar in magnitude between devices. Conclusion: COP measures were correlated between devices, but values tended to be smaller using the pressure mat. The pressure mat and force plate detected comparable magnitude changes in COP measurements between eyes-open and eyes-closed. Pressure mats may provide a viable option for detecting large magnitude changes in postural control during short-duration testing.

Goetschius is with the Dept of Exercise Science & Athletic Training, Adrian College, Adrian, MI. Feger, Hertel, and Hart are with the Dept of Kinesiology, University of Virginia, Charlottesville, VA.

Goetschius (jgoetschius@adrian.edu) is corresponding author.
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  • 1.

    Mckeon PO, Hertel J. Ankle instability, part I: can deficits be detected. J Athl Train. 2008;43(3):293304. PubMed doi:10.4085/1062-6050-43.3.293

  • 2.

    Wikstrom EA, Fournier KA, McKeon PO. Postural control differs between those with and without chronic ankle instability. Gait Posture. 2010;32(1):8286. PubMed doi:10.1016/j.gaitpost.2010.03.015

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3.

    Teel EF, Slobounov SM. Validation of a virtual reality balance module for use in clinical concussion assessment and management. Clin J Sport Med. 2015;25(2):144148. PubMed doi:10.1097/JSM.0000000000000109

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4.

    Nomura K, Fukada K, Azuma T, Hamasaki T, Sakoda S, Nomura T. A quantitative characterization of postural sway during human quiet standing using a thin pressure distribution measurement system. Gait Posture. 2009;29(4):654657. PubMed doi:10.1016/j.gaitpost.2009.02.001

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5.

    Clark RA, Bryant AL, Pua Y, McCrory P, Bennell K, Hunt M. Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. Gait Posture. 2010;31(3):307310. PubMed doi:10.1016/j.gaitpost.2009.11.012

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Brenton-Rule A, Mattock J, Carroll M, et al. Reliability of the TekScan MatScan® system for the measurement of postural stability in older people with rheumatoid arthritis. J Foot Ankle Res. 2012;5:21. PubMed doi:10.1186/1757-1146-5-21

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Goetschius J, Kuenze CM, Saliba S, Hart JM. Reposition acuity and postural control after exercise in anterior cruciate ligament reconstructed knees. Med Sci Sports Exerc. 2013;45(12):23142321. PubMed doi:10.1249/MSS.0b013e31829bc6ae

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Donovan L, Hart JM, Saliba SA, et al. Rehabilitation for chronic ankle instability with or without destabilization devices: a randomized controlled trial. J Athl Train. 2016;51(3):233251. PubMed doi:10.4085/1062-6050-51.3.09

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;327:307310. doi:10.1016/S0140-6736(86)90837-8

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Cohen J. Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: L. Erlbaum; 1988. https://books.google.com/books?id=Tl0N2lRAO9oC

    • Search Google Scholar
    • Export Citation
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