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Smartphone accelerometry to assess postural control in individuals with multiple sclerosis.

Katherine L Hsieh1, Jacob J Sosnoff2

  • 1Department of Kinesiology & Community Health, University of Illinois at Urbana-Champaign, 906 S. Goodwin Ave, Urbana, IL 61801, USA; Illinois Multiple Sclerosis Research Collaborative, University of Illinois at Urbana-Champaign, 901 W. University Avenue, Suite 201 Urbana, IL 61801, USA; Department of Internal Medicine-Geriatrics and Gerontology, Wake Forest School of Medicine, Winston-Salem, NC 27109, USA.

Gait & Posture
|December 11, 2020
PubMed
Summary

Smartphone accelerometry shows potential for measuring postural control in people with Multiple Sclerosis (pwMS), aiding in fall risk assessment. This technology offers an affordable and accessible method for monitoring this key health concern.

Keywords:
BalanceMobile deviceMultiple sclerosisPostureSmartphone

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Neurology

Background:

  • Falls are a significant health issue for people with Multiple Sclerosis (pwMS).
  • Impaired postural control is a key predictor of falls in pwMS.
  • Current lab-based and clinical methods for assessing posture have limitations in accessibility and accuracy.

Purpose of the Study:

  • To evaluate the efficacy of smartphone accelerometry in measuring postural control in pwMS.
  • To compare smartphone accelerometry measurements against gold-standard force plate and research-grade accelerometers.
  • To determine if smartphone accelerometry can differentiate between pwMS who use assisted devices and those who do not.

Main Methods:

  • 27 pwMS underwent postural assessments using a force plate and a smartphone with an accelerometer.
  • Participants performed standardized balance tasks (e.g., eyes open/closed, tandem stance, single leg stance).
  • Data analysis included correlation analyses and Receiver Operating Characteristic (ROC) curves to assess measurement accuracy and discrimination ability.

Main Results:

  • Smartphone accelerometry demonstrated moderate to high correlations with research-grade accelerometers for key postural control metrics (RMS, ellipse area).
  • Weak to moderate correlations were found between smartphone data and force plate measurements.
  • Smartphone accelerometry effectively discriminated between assisted device and non-assisted device users with high statistical significance.

Conclusions:

  • Smartphone accelerometry presents a viable, low-cost tool for assessing postural control in pwMS.
  • These findings support the development of mobile health applications for fall risk monitoring in this population.
  • Further research can refine this technology for widespread clinical and personal use.