Silva Carlos A, Casilari Eduardo, García-Bermúdez Rodolfo
Departamento de Tecnología Electrónica, Universidad de Málaga, Instituto TELMA, 29071 Málaga, Spain.
Universidad Técnica de Manabí, Manabí, Ecuador.
Data Brief. 2024 Jun 12;55:110621. doi: 10.1016/j.dib.2024.110621. eCollection 2024 Aug.
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.
定时起立行走（TUG）测试是评估老年人功能活动能力和跌倒风险最常用的临床工具之一。TUG动作分析的自动化不仅对加快测试速度具有重要医学意义，而且对于从研究对象中获取最大信息量也具有重要意义。在此背景下，本文描述了一个数据集，该数据集是在对69名实验对象（包括30名60岁以上成年人）进行多次TUG测试重复执行过程中收集的。具体而言，该数据集包括通过四个可穿戴设备收集的测量数据，这些设备嵌入了位于四个身体部位（腰部、手腕、脚踝和胸部）的四个传感器（加速度计、陀螺仪、磁力计和气压计）。特别的是，该数据集还包括年轻受试者在穿着商业老年模拟器重复测试时记录的相同测量数据，该模拟器由一组加重背心和其他旨在模拟衰老引起的身体限制的部件组成。因此，生成的数据集还能够研究此类工具模拟老年人实际动态的潜力。
