Validation of measures from the smartphone sway balance application: a pilot study
- PMID: 24790774
- PMCID: PMC4004118
Validation of measures from the smartphone sway balance application: a pilot study
Abstract
Purpose/background: A number of different balance assessment techniques are currently available and widely used. These include both subjective and objective assessments. The ability to provide quantitative measures of balance and posture is the benefit of objective tools, however these instruments are not generally utilized outside of research laboratory settings due to cost, complexity of operation, size, duration of assessment, and general practicality. The purpose of this pilot study was to assess the value and validity of using software developed to access the iPod and iPhone accelerometers output and translate that to the measurement of human balance.
Methods: Thirty healthy college-aged individuals (13 male, 17 female; age = 26.1 ± 8.5 years) volunteered. Participants performed a static Athlete's Single Leg Test protocol for 10 sec, on a Biodex Balance System SD while concurrently utilizing a mobile device with balance software. Anterior/posterior stability was recorded using both devices, described as the displacement in degrees from level, and was termed the "balance score."
Results: There were no significant differences between the two reported balance scores (p = 0.818. Mean balance score on the balance platform was 1.41 ± 0.90, as compared to 1.38 ± 0.72 using the mobile device.
Conclusions: There is a need for a valid, convenient, and cost-effective tool to objectively measure balance. Results of this study are promising, as balance score derived from the Smartphone accelerometers were consistent with balance scores obtained from a previously validated balance system. However, further investigation is necessary as this version of the mobile software only assessed balance in the anterior/posterior direction. Additionally, further testing is necessary on a healthy populations and as well as those with impairment of the motor control system.
Level of evidence: Level 2b (Observational study of validity)(1.)
Keywords: Accelerometer; Single Leg Balance Test; Smartphone Application; Stability assessment.
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References
-
- OCEBM Levels of Evidence Working Group. “The Oxford Levels of Evidence 2”. Oxford Centre for Evidence‐Based Medicine. http://www.cebm.net/index.aspx?o=5653
-
- Pollock A. S. Durward B. R. Rowe P. J., et al. What is balance? Clin Rehabil. 2000;14:402‐406 - PubMed
-
- Rose D. J. Balance, Posture, and Locomotion. In Spirduso W. W. Francis K. L. MacRae P. G. (Eds.), Physical Dimensions of Aging (2nd ed.). Champaign, IL: Human Kinetics, 2005: 131‐151
-
- Rogers M.E. N.L. Rogers N. Takeshima Balance training in older adults. Aging Health. 2005;1(3):475‐486
-
- Guskiewicz K. M. Perrin D. H. Research and clinical applications of assessing balance. J Sport Rehabil. 1996;5:45‐63
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