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Objective Characterization of Timed Up and Go Test via Sensorized Mats
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
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: 0000-0002-9203-1124
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
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2025 (English)In: Pervasive Computing Technologies for Healthcare: 18th EAI International Conference, PervasiveHealth 2024, Heraklion, Crete, Greece, September 17–18, 2024, Proceedings, Part II / [ed] Haridimos Kondylakis; Andreas Triantafyllidis, Springer Nature , 2025, p. 179-189Conference paper, Published paper (Refereed)
Abstract [en]

The Timed Up and Go (TUG) test is a widely recognized and standardized mobility test to measure basic mobility and balance capabilities. Despite the possibility to derive rich information about the patient, only the total time to complete the test is conventionally measured by a professional. This work examines the use of non-wearable sensors for the measurement of parameters of the test in an accurate and objective way. The study illustrates a system specifically designed for conducting the TUG test using a set of sensorized mats. The developed system is able to identify the following 4 phases of the test, with relative timestamps: TUG-time, Sit-to-Stand, Mid-Turning, and End-Turning-Stand-to-Sit. Additionally, meaningful parameters for gait assessment are also extracted: walking speed and stride length. Two experimental iterations were conducted to assess the reliability of the developed software. Both iterations involved two different groups of six healthy participants (41.58 ± 13.32 yrs; 6 females, 6 males) performing various walking types. Our results demonstrate that sensorized mats can be used to segment the phases of the test reliably and can additionally be used to quantify gait parameters during the walk phase of the test.

Place, publisher, year, edition, pages
Springer Nature , 2025. p. 179-189
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN 1867-8211, E-ISSN 1867-822X ; 612
Keywords [en]
Gait Analysis, Pressure Sensor, Sensorized Mat, Timed Up and Go
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mau:diva-76097DOI: 10.1007/978-3-031-85575-7_11ISI: 001484285000011Scopus ID: 2-s2.0-105004253538ISBN: 9783031855740 (print)OAI: oai:DiVA.org:mau-76097DiVA, id: diva2:1961409
Conference
18th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2024, 17-18 Sep 2024, Heraklion, Crete, Greece
Available from: 2025-05-27 Created: 2025-05-27 Last updated: 2025-05-28Bibliographically approved

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Salvi, DarioOlsson, Carl Magnus

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Eriksson, HeddaRamkull, MalinSalvi, DarioOlsson, Carl Magnus
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