journal article·2021-11-10Open access

Validation of Smartphone Sway Analysis for Fall Prevention

Matthew Cimera, Arkady Voloshin

Applied Sciences· Volume 11· Issue 22

Abstract

Analysis of the balance and sway of the elderly remains a field continuously studied for additional means of assessing the risks of falls. Almost 50% of falls among the elderly lead to serious injuries, and falls are the leading cause of death for the elderly. Thus, the development of a convenient method to assess the risks of falling would be beneficial in helping to diminish these risks. We recorded the sway data by using the widely acceptable force plate and simultaneously compared it to the angular orientation measured by a cell phone’s accelerometer attached to the subject. It was found that the correlation of the average path length and average velocity between the results from the force plate and the phone application were 0.83 and 0.86 respectively. Overall, the direction of the strongest correlation was in the anterior–posterior (AP) direction that is mostly associated with falls. The smart phone application was able to represent the results that were gathered by the force plate, thus opening the door to a simpler way to track sway variables in the elderly without the necessity to come to a doctor’s office.
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Research context

OpenAlex topics: Balance, Gait, and Falls Prevention · Injury Epidemiology and Prevention · Gait Recognition and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering and Mechanics, Lehigh University, Bethlehem, PA 18017, USA

Department of Bioengineering, Lehigh University, Bethlehem, PA 18017, USA

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