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mBalance: detect postural imbalance with mobile devices

Abstract:

Background:

Postural imbalance can be adopted for the early detection of age-related diseases or monitoring the course of the disease treatment; especially in monitoring, frequent balance measurement is crucial. This is mainly done through regular in-person examinations by a physician currently. Feedback in between examinations is often missing.

Objectives:

This paper proposes mBalance, a mobile application that uses the Romberg test to detect postural imbalance. mBalance provides a camera-based, low-cost approach to measure imbalance frequently at home using mobile devices.

Methods:

Imbalance detection accuracy and usability was evaluated in two separate studies with 31 and 30 participants, respectively.

Results:

mBalance correctly detected imbalance with a sensitivity of 80% and a specificity of 87%. The study found good usability with no significant problems.

Conclusion:

Overall, this study solves the problem of postural imbalance detection by digitizing a validated balance test into an easy-to-use mobile application.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.3233/shti220344

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Oxford college:
St Peter's College
Role:
Author
ORCID:
0009-0005-8655-493X
More by this author
Role:
Author
ORCID:
0000-0002-6546-8531
More by this author
Role:
Author
ORCID:
0000-0002-3687-6165


Publisher:
IOS Press
Host title:
Proceedings of the 16th Health Informatics Meets Digital Health Conference
Pages:
30-38
Series:
Studies in Health Technology and Informatics
Series number:
293
Place of publication:
Netherlands
Publication date:
2022-05-16
Acceptance date:
2022-04-08
Event title:
16th Health Informatics Meets Digital Health Conference (dHealth 2022)
Event location:
Vienna, Austria
Event website:
https://dhealth.at/
Event start date:
2022-05-24
Event end date:
2022-05-25
DOI:
EISSN:
1879-8365
ISSN:
0926-9630
Pmid:
35592957
EISBN:
9781643682839
ISBN:
9781643682822


Language:
English
Keywords:
Pubs id:
2045133
Local pid:
pubs:2045133
Deposit date:
2025-05-22

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