Smartphone Technology to Facilitate Remote Postural Balance Assessment in Acute Concussion Management: Pilot Study

Impaired balance is a key symptom following acute concussion. Unfortunately, the recommended clinical balance assessment lacks sensitivity and discriminative ability, relying on the experience of the clinician for interpretation. The aim of this pilot study is to explore smartphone technology to remotely assess balance impairment in people with acute concussion. A smartphone app was developed to allow the clinician to connect remotely using their personal web browser to the participant's smartphone and collect motion data while instructing the participant to perform the following balance tests: standing on firm and foam surface with eyes opened and closed (FIRMEO, FIRMEC, FOAMEO, and FOAMEC). Outcome measures were processed from the raw acceleration to calculate the average acceleration magnitude from the mean and the root-mean square, with greater values indicating more sway. Eleven healthy controls (HCs) and 11 people with concussion (CON) participated. In all sway measurements, the CON group had significantly (<i>p</i> < 0.05) greater values when standing on a firm surface. In the FOAMEC condition, the CON group had significantly (<i>p</i> < 0.05) greater sway measures only in the AP direction, while significantly greater sway in all directions were found in the CON group in the FOAMEO condition. This study shows that remote balance assessment using a smartphone can discriminate between healthy controls and people with acute concussion. This technology could play an important role in concussion management to assist with determining recovery from concussions and the optimal timing for return to sport.

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Publication Details

Journal
Sensors
Published
2024-10-26
DOI
https://doi.org/10.3390/s24216870
Citations
4
Primary Topic
Traumatic Brain Injury Research
Type
article
Field-Weighted Citation Impact
1.55
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article

Smartphone Technology to Facilitate Remote Postural Balance Assessment in Acute Concussion Management: Pilot Study

John Olver, Doa El‐Ansary, Megan Hamilton, Gavin P. Williams et al.
4 citations
Sensors
Traumatic Brain Injury Research
1.55
article

Smartphone Technology to Facilitate Remote Postural Balance Assessment in Acute Concussion Management: Pilot Study

John Olver, Doa El‐Ansary, Megan Hamilton, Gavin P. Williams, Dean McKenzie, Oren Tirosh, Nilmini Wickramasinghe, Jaymee Klonis
article en
4 citations

Abstract

Impaired balance is a key symptom following acute concussion. Unfortunately, the recommended clinical balance assessment lacks sensitivity and discriminative ability, relying on the experience of the clinician for interpretation. The aim of this pilot study is to explore smartphone technology to remotely assess balance impairment in people with acute concussion. A smartphone app was developed to allow the clinician to connect remotely using their personal web browser to the participant's smartphone and collect motion data while instructing the participant to perform the following balance tests: standing on firm and foam surface with eyes opened and closed (FIRMEO, FIRMEC, FOAMEO, and FOAMEC). Outcome measures were processed from the raw acceleration to calculate the average acceleration magnitude from the mean and the root-mean square, with greater values indicating more sway. Eleven healthy controls (HCs) and 11 people with concussion (CON) participated. In all sway measurements, the CON group had significantly (<i>p</i> < 0.05) greater values when standing on a firm surface. In the FOAMEC condition, the CON group had significantly (<i>p</i> < 0.05) greater sway measures only in the AP direction, while significantly greater sway in all directions were found in the CON group in the FOAMEO condition. This study shows that remote balance assessment using a smartphone can discriminate between healthy controls and people with acute concussion. This technology could play an important role in concussion management to assist with determining recovery from concussions and the optimal timing for return to sport.

SensorsVol. 24(21)
The University of Melbourne (AU), La Trobe University (AU), Epworth Hospital (AU), Shanghai University of Medicine and Health Sciences (CN), Monash University (AU), RMIT University (AU)
Reduced inequalities
Openalex Percentile: Top 16%
Traumatic Brain Injury Research
1.55
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