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Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries

Background: Most individuals with mild traumatic brain injury (mTBI) experience post-injury deficits in postural control. Currently available measures of postural control are lab-based or supervised, which may hinder timely symptom assessment for individuals with mTBI, including Asian populations, w...

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Autores principales: Lee, Hyunhwa, Lee, Sungchul, Salado, Laura, Estrada, Jonica, White, Jacob, Muthukumar, Venkatesan, Lee, Szu-Ping, Mohapatra, Sambit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Hawai‘i Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484150/
https://www.ncbi.nlm.nih.gov/pubmed/31037266
http://dx.doi.org/10.31372/20180304.1027
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author Lee, Hyunhwa
Lee, Sungchul
Salado, Laura
Estrada, Jonica
White, Jacob
Muthukumar, Venkatesan
Lee, Szu-Ping
Mohapatra, Sambit
author_facet Lee, Hyunhwa
Lee, Sungchul
Salado, Laura
Estrada, Jonica
White, Jacob
Muthukumar, Venkatesan
Lee, Szu-Ping
Mohapatra, Sambit
author_sort Lee, Hyunhwa
collection PubMed
description Background: Most individuals with mild traumatic brain injury (mTBI) experience post-injury deficits in postural control. Currently available measures of postural control are lab-based or supervised, which may hinder timely symptom assessment for individuals with mTBI, including Asian populations, who do not seek initial screening post-injury. In this proof-of-concept testing study, we introduce a real-time mobile health (mHealth) system to measure postural control during walking. The proposed mHealth system can be used for home-based symptom assessment and management of mTBI. Methods: In our proposed mHealth system, a smartwatch, a smartphone, and a cloud server communicate to measure, collect, and store body balance data in real time. Specifically, we focus on the rotation vector data that have been reported to be the most effective in terms of differentiating balance control during walking across different participants. Results: Constant motion change in four participants (two females and two males; three healthy participants, and one individual with reduced physical mobility) was collected and analyzed. The results of our data analysis show that, compared to healthy participants, the individual was reduced physical mobility had a wider range of motion between right and left, up and down, and forward and backward while walking. We also found that female participants had narrower ranges of right-to-left and up-and-down motions than their male counterparts. Conclusions: Our results highlight the potential of the proposed real-time mHealth system for home-based symptom assessment and management of mTBI, which may benefit Asian and other nonwhite racial minority groups that appear to be more reluctant to access post-acute rehabilitation services.
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spelling pubmed-64841502019-04-29 Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries Lee, Hyunhwa Lee, Sungchul Salado, Laura Estrada, Jonica White, Jacob Muthukumar, Venkatesan Lee, Szu-Ping Mohapatra, Sambit Asian Pac Isl Nurs J Research Article Background: Most individuals with mild traumatic brain injury (mTBI) experience post-injury deficits in postural control. Currently available measures of postural control are lab-based or supervised, which may hinder timely symptom assessment for individuals with mTBI, including Asian populations, who do not seek initial screening post-injury. In this proof-of-concept testing study, we introduce a real-time mobile health (mHealth) system to measure postural control during walking. The proposed mHealth system can be used for home-based symptom assessment and management of mTBI. Methods: In our proposed mHealth system, a smartwatch, a smartphone, and a cloud server communicate to measure, collect, and store body balance data in real time. Specifically, we focus on the rotation vector data that have been reported to be the most effective in terms of differentiating balance control during walking across different participants. Results: Constant motion change in four participants (two females and two males; three healthy participants, and one individual with reduced physical mobility) was collected and analyzed. The results of our data analysis show that, compared to healthy participants, the individual was reduced physical mobility had a wider range of motion between right and left, up and down, and forward and backward while walking. We also found that female participants had narrower ranges of right-to-left and up-and-down motions than their male counterparts. Conclusions: Our results highlight the potential of the proposed real-time mHealth system for home-based symptom assessment and management of mTBI, which may benefit Asian and other nonwhite racial minority groups that appear to be more reluctant to access post-acute rehabilitation services. University of Hawai‘i Press 2018 /pmc/articles/PMC6484150/ /pubmed/31037266 http://dx.doi.org/10.31372/20180304.1027 Text en Asian/Pacific Island Nursing Journal, Volume 3(4): 177-189, ©Author(s) 2018, https://kahualike.manoa.hawaii.edu/apin/ Creative Commons CC-BY-NC-ND: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) which allows others to download your works and share them with others as long as they credit you, but they can’t change them in any way or use them commercially.
spellingShingle Research Article
Lee, Hyunhwa
Lee, Sungchul
Salado, Laura
Estrada, Jonica
White, Jacob
Muthukumar, Venkatesan
Lee, Szu-Ping
Mohapatra, Sambit
Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title_full Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title_fullStr Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title_full_unstemmed Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title_short Proof-of-Concept Testing of a Real-Time mHealth Measure to Estimate Postural Control During Walking: A Potential Application for Mild Traumatic Brain Injuries
title_sort proof-of-concept testing of a real-time mhealth measure to estimate postural control during walking: a potential application for mild traumatic brain injuries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484150/
https://www.ncbi.nlm.nih.gov/pubmed/31037266
http://dx.doi.org/10.31372/20180304.1027
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