@inproceedings{d8c8ddd1945a4d27bc4ddfccbb800f9b,
title = "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.",
keywords = "Augmented Reality, Mobile Applications, Postural Balance, Telemedicine, mHealth",
author = "Aldenhoven, \{C{\'e}line Madeleine\} and Reimer, \{Lara Marie\} and Stephan Jonas",
note = "Publisher Copyright: {\textcopyright} 2022 The authors, AIT Austrian Institute of Technology and IOS Press.; 16th Annual Health Informatics Meets Digital Health Conference, dHealth 2022 ; Conference date: 24-05-2022 Through 25-05-2022",
year = "2022",
month = may,
day = "16",
doi = "10.3233/SHTI220344",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "30--38",
editor = "Bernhard Pfeifer and Martin Baumgartner",
booktitle = "dHealth 2022 - Proceedings of the 16th Health Informatics Meets Digital Health Conference",
}