Laboratório de Estudos da Motricidade Humana, Av. Generalíssimo Deodoro 01, Belém 66073-000, PA, Brazil.
Department of Physiotherapy, Speech Therapy and Occupational Therapy, Faculty of Medicine, University of São Paulo, São Paulo 05403-000, SP, Brazil.
Sensors (Basel). 2024 May 3;24(9):2918. doi: 10.3390/s24092918.
The Timed-Up and Go (TUG) test is widely utilized by healthcare professionals for assessing fall risk and mobility due to its practicality. Currently, test results are based solely on execution time, but integrating technological devices into the test can provide additional information to enhance result accuracy. This study aimed to assess the reliability of smartphone-based instrumented TUG (iTUG) parameters. We conducted evaluations of intra- and inter-device reliabilities, hypothesizing that iTUG parameters would be replicable across all experiments. A total of 30 individuals participated in Experiment A to assess intra-device reliability, while Experiment B involved 15 individuals to evaluate inter-device reliability. The smartphone was securely attached to participants' bodies at the lumbar spine level between the L3 and L5 vertebrae. In Experiment A, subjects performed the TUG test three times using the same device, with a 5 min interval between each trial. Experiment B required participants to perform three trials using different devices, with the same time interval between trials. Comparing stopwatch and smartphone measurements in Experiment A, no significant differences in test duration were found between the two devices. A perfect correlation and Bland-Altman analysis indicated good agreement between devices. Intra-device reliability analysis in Experiment A revealed significant reliability in nine out of eleven variables, with four variables showing excellent reliability and five showing moderate to high reliability. In Experiment B, inter-device reliability was observed among different smartphone devices, with nine out of eleven variables demonstrating significant reliability. Notable differences were found in angular velocity peak at the first and second turns between specific devices, emphasizing the importance of considering device variations in inertial measurements. Hence, smartphone inertial sensors present a valid, applicable, and feasible alternative for TUG assessment.
“计时起身行走测试(TUG)”因其实用性而被医疗保健专业人员广泛用于评估跌倒风险和移动能力。目前,测试结果仅基于执行时间,但将技术设备集成到测试中可以提供更多信息,从而提高结果的准确性。本研究旨在评估基于智能手机的仪器化 TUG(iTUG)参数的可靠性。我们对设备内和设备间的可靠性进行了评估,假设 iTUG 参数在所有实验中都是可复制的。共有 30 名参与者参加了实验 A,以评估设备内的可靠性,而实验 B 则有 15 名参与者评估设备间的可靠性。智能手机被安全地固定在参与者的腰部,位于第 3 至第 5 腰椎之间。在实验 A 中,受试者使用同一设备进行了三次 TUG 测试,每次测试之间有 5 分钟的间隔。实验 B 要求参与者使用不同的设备进行三次测试,每次测试之间的时间间隔相同。在实验 A 中比较秒表和智能手机的测量值,两种设备的测试持续时间没有显著差异。完美相关和 Bland-Altman 分析表明,两种设备之间具有良好的一致性。实验 A 中的设备内可靠性分析显示,十一个变量中有九个具有显著可靠性,四个变量具有极好的可靠性,五个变量具有中到高度可靠性。在实验 B 中,不同智能手机设备之间观察到了设备间的可靠性,十一个变量中有九个具有显著可靠性。在特定设备之间,第一和第二转弯时的角速度峰值存在显著差异,这强调了在惯性测量中考虑设备变化的重要性。因此,智能手机惯性传感器为 TUG 评估提供了一种有效、适用且可行的替代方案。