UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests.

Autor:	Silva CA; Departamento de Tecnología Electrónica, Universidad de Málaga, Instituto TELMA, 29071 Málaga, Spain.; Universidad Técnica de Manabí, Manabí, Ecuador., Casilari E; Departamento de Tecnología Electrónica, Universidad de Málaga, Instituto TELMA, 29071 Málaga, Spain., García-Bermúdez R; Universidad Nebrija, Spain.
Jazyk:	angličtina
Zdroj:	Data in brief [Data Brief] 2024 Jun 12; Vol. 55, pp. 110621. Date of Electronic Publication: 2024 Jun 12 (Print Publication: 2024).
DOI:	10.1016/j.dib.2024.110621
Abstrakt:	Timed Up and Go (TUG) test is one of the most popular clinical tools aimed at the assessment of functional mobility and fall risk in older adults. The automation of the analysis of TUG movements is of great medical interest not only to speed up the test but also to maximize the information inferred from the subjects under study. In this context, this article describes a dataset collected from a cohort of 69 experimental subjects (including 30 adults over 60 years), during the execution of several repetitions of the TUG test. In particular, the dataset includes the measurements gathered with four wearables devices embedding four sensors (accelerometer, gyroscope magnetometer and barometer) located on four body locations (waist, wrist, ankle and chest). As a particularity, the dataset also includes the same measurements recorded when the young subjects repeat the test while wearing a commercial geriatric simulator, consisting of a set of weighted vests and other elements intended to replicate the limitations caused by aging. Thus, the generated dataset also enables the investigation into the potential of such tools to emulate the actual dynamics of older individuals. (© 2024 The Authors.)
Databáze:	MEDLINE
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