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

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.

[1]  S. Slobounov,et al.  Validation of a Virtual Reality Balance Module for Use in Clinical Concussion Assessment and Management , 2015, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.

[2]  J. Hart,et al.  Reposition acuity and postural control after exercise in anterior cruciate ligament reconstructed knees. , 2013, Medicine and science in sports and exercise.

[3]  Erik A Wikstrom,et al.  Postural control differs between those with and without chronic ankle instability. , 2010, Gait & posture.

[4]  Hylton B Menz,et al.  Reliability of the TekScan MatScan® system for the measurement of postural stability in older people with rheumatoid arthritis , 2012, Journal of Foot and Ankle Research.

[5]  J. Hart,et al.  Rehabilitation for Chronic Ankle Instability With or Without Destabilization Devices: A Randomized Controlled Trial. , 2016, Journal of athletic training.

[6]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[7]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[8]  Taishin Nomura,et al.  A quantitative characterization of postural sway during human quiet standing using a thin pressure distribution measurement system. , 2009, Gait & posture.

[9]  Paul McCrory,et al.  Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance. , 2010, Gait & posture.