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Exploring the relationship between step count, step length and walked distance in mobile-aided six-minute walk test
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-8461-0089
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-4261-281X
Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9203-1124
2024 (English)In: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Walking speed and distance are usually collected when performing clinical tests such as the 6-Minute Walk Test (6MWT). Wearable devices and smartphones can help bring these tests to the home environment. However, there are difficulties in obtaining measures of distance indoors, where GPS cannot be relied on. Step counting is another even simpler form of data collection that can be obtained through digital technologies. In this work, we investigate the relationship between the step count variable and the standardised 6-Minute Walk Distance (6MWD) variable. By considering 176 6MWTs from 55 participants, we found a high correlation between ground truth distance and the number of steps taken during a test (0.83). Additionally, when considering low-quality outdoor tests, using the step count becomes significantly more reliable (MAE of 22.5m) compared to a state-of-the-art algorithm (MAE of 93.8m). We conclude that step count can be considered as a valid proxy to estimate 6MWD and a candidate approach for monitoring patients’ physical health in free-living conditions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 1-4
Series
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, ISSN 2375-7477, E-ISSN 2694-0604
Keywords [en]
six-minute walk test, step count, step length, smartphone
National Category
Health Sciences
Identifiers
URN: urn:nbn:se:mau:diva-72837DOI: 10.1109/EMBC53108.2024.10781775Scopus ID: 2-s2.0-85214988397ISBN: 979-8-3503-7149-9 (electronic)OAI: oai:DiVA.org:mau-72837DiVA, id: diva2:1922932
Conference
46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA , 15-19 July 2024
Available from: 2024-12-19 Created: 2024-12-19 Last updated: 2025-01-27Bibliographically approved

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Caramaschi, SaraOlsson, Carl MagnusSalvi, Dario

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