uTUG: An unsupervised Timed Up and Go test for Parkinson's disease

da Rosa Tavares JE, Ullrich M, Roth N, Kluge F, Eskofier B, Gaßner H, Klucken J, Gladow T, Marxreiter F, da Costa CA, da Rosa Righi R, Victória Barbosa JL (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Book Volume: 81

Article Number: 104394

DOI: 10.1016/j.bspc.2022.104394

Abstract

Inertial measurement units (IMU) are used diagnostically in the movement analysis of Parkinson's disease (PD) patients, allowing an objective way to assess biomechanical motion and gait parameters. The Timed Up and Go (TUG) is a standardized clinical gait test widely used in the monitoring of patient fall risk and disease progression. Gait tests performed at home have been applied as part of movement monitoring protocols, enabling a link to clinical supervised reference assessments. However, unsupervised gait tests in a real-world data context present challenges, mainly regarding the interaction between participants and the recording system. Therefore, we developed and evaluated a novel algorithmic pipeline called unsupervised TUG (uTUG). Our contribution is the automatic detection and decomposition of TUG tests into their subphases, performed at home with no clinician supervision. In contrast to related studies, we used only foot-mounted IMU with no additional markers or manual annotations, allowing the detection of TUG test frames for subsequent classification by machine learning Support Vector Machine (SVM), Random Forest (RF) and Naïve Bayes Classifier (NBC) algorithms. The evaluation comprised 96 daily recordings of real-world gait data and 81 clinical visits accumulating 300 real TUG test samples processed from 32 PD patients. A prefiltering sensitivity of 98.6%, followed by the precision of 90.6%, recall of 88.5%, and Fl-score of 89.6% for TUG test detection were achieved using RF for the automatic classification in continuous real-world gait data. Thus, uTUG simplifies the test for patients and avoids manual annotations for clinicians, automatically detecting TUG tests.

Authors with CRIS profile

Involved external institutions

Unisinos (Universidade do Vale do Rio dos Sinos) Brazil (BR) University of Luxembourg Luxembourg (LU) Medical Valley - Europäische Metropolregion Nürnberg Germany (DE)

How to cite

APA:

da Rosa Tavares, J.E., Ullrich, M., Roth, N., Kluge, F., Eskofier, B., Gaßner, H.,... Victória Barbosa, J.L. (2023). uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomedical Signal Processing and Control, 81. https://dx.doi.org/10.1016/j.bspc.2022.104394

MLA:

da Rosa Tavares, João Elison, et al. "uTUG: An unsupervised Timed Up and Go test for Parkinson's disease." Biomedical Signal Processing and Control 81 (2023).

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