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Evaluating Parameters of the TUG Test Based on Data from IMU and UWB Sensors

Wireless and Mobile Computing, Networking and Communications (WiMob)(2022)

PD Neurotechnol Ltd

Cited 4|Views13
Abstract
The Timed Up and Go (TUG) test is a well-established, standardized test used to assess various aspects of a patient's mobility. Although its reliability is proven, instru-mentation is necessary for acquiring accurate information. This work evaluated the instrumentation of the TUG test using devices based on inertial measurement unit (IMU) and UWB radar sen-sors, and subsequently assessed test-related motion parameters, extracted from their data. To that end, five healthy individuals participated in three sessions of a TUG test, performed in slow, normal and fast speeds, while an IMU-based wearable device, the PDMonitor®, and an ultra-wideband (UWB) radar, the Aria Sensing® LT102, monitored their motion. The sessions were also timed, recorded on video, and annotated as a post-processing step. Results showed that both approaches performed very well in estimating walking duration $({R}^{2}=0.9{6}$ for IMU and $R^{2}=0.98$ for UWB) and turning duration $(R^{2}=0.74$ for IMU and $R^{2}=0.66$ for UWB). Moreover, for the IMU sensors, the test duration had excellent correlation with annotations $(R^{2}=0.98)$ and results showed that gait kinematic features could be used as predictors $(AUC=0.9955)$ of detecting a high TUG score $(T^{\mathbf{TUG}}- > 13.5\mathrm{s})$ , identifying increased fall risk. On the other hand, gait speed estimated using UWB data had excellent correlation (R 2 = 0.95) with speed calculated using annotations. The different characteristics of the two approaches, and their good performance in the TUG test's segmentation and assessment of gait parameters, indicate that they could be fused to augment the resulting information.
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Key words
IMU sensors,UWB radars,TUG test,Motion analysis,Kinematic analysis
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Juan José Bedoya-Belmonte, María del Mar Rodríguez-González,Manuel González-Sánchez, Jose Miguel Barreda Pitarch,Alejandro Galán-Mercant,Antonio I. Cuesta-Vargas
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要点】:本文通过使用基于惯性测量单元(IMU)和超宽带(UWB)雷达传感器的设备,评估了时间起身走(TUG)测试的运动参数,发现两种方法在估计行走和转身时长上具有高度相关性,且IMU传感器数据可预测高风险跌倒情况。

方法】:研究采用IMU传感器(PDMonitor®)和UWB雷达(Aria Sensing® LT102)监测参与者在慢速、正常速度和快速进行TUG测试时的运动。

实验】:五名健康个体在三个不同速度下进行三次TUG测试,同时使用PDMonitor®和Aria Sensing® LT102收集数据,测试时长、视频记录和后期注释用于评估。结果显示,IMU在估计行走时长($R^{2}=0.96$)和转身时长($R^{2}=0.74$)上表现良好,而UWB在估计行走时长($R^{2}=0.98$)和转身时长($R^{2}=0.66$)上也有较好表现。IMU传感器数据与注释的测试时长相关性极好($R^{2}=0.98$),且步态动力学特征可作为检测高风险跌倒的预测因子(AUC=0.9955)。UWB数据估算的步速与注释速度相关性极好($R^{2}=0.95$)。