Kamiński Marek, Kotas Rafał, Tylman Wojciech, Janc Magdalena, Zamysłowska-Szmytke Ewa, Józefowicz-Korczyńska Magdalena
Department of Microelectronics and Computer Science, Lodz University of Technology, ul Wolczanska 221, 93-005, Lodz, Poland.
Department of Environmental and Occupational Health Hazards, Nofer Institute of Occupational Medicine, 91-348, Lodz, Poland.
Sci Rep. 2025 May 20;15(1):17440. doi: 10.1038/s41598-025-02350-y.
Vestibular impairments affect movement and can result in difficulties with daily life activities. The main aim of this study is to determine whether a short, simple test such as the Timed Up and Go test (TUG) can be an objective method of assessing balance dysfunction in patients with unilateral vestibular impairments. The TUG test was performed using six MediPost devices. The analysis was performed in three ways: (1) an analytical approach based only on data from one sensor; (2) an analytical approach based on data from six sensors; (3) an artificial neural network (ANN) approach based on data from six sensors. The best results were obtained using maximum angular velocities (MAV) of rotation and total time (TT) for approaches 1 and 2, and using 43 different features for approach 3. The following sensitivities and specificities were achieved: MAV 95% and 70%, TT 73% and 88% for approach 1; MAV 60% and 91% and TT 64% and 98% for approach 2; 88% and 92% for approach 3. The ANN-based six-sensor approach demonstrated the best sensitivity and specificity; however, the one-sensor approach might be used as a simple screening test.
前庭功能障碍会影响运动，并可能导致日常生活活动出现困难。本研究的主要目的是确定诸如定时起立行走测试（TUG）这样简短、简单的测试是否可作为评估单侧前庭功能障碍患者平衡功能障碍的一种客观方法。使用六个MediPost设备进行TUG测试。分析通过三种方式进行：（1）仅基于来自一个传感器的数据的分析方法；（2）基于来自六个传感器的数据的分析方法；（3）基于来自六个传感器的数据的人工神经网络（ANN）方法。对于方法1和方法2，使用旋转的最大角速度（MAV）和总时间（TT）获得了最佳结果，对于方法3，使用43个不同特征获得了最佳结果。实现了以下敏感性和特异性：方法1中MAV为95%和70%，TT为73%和88%；方法2中MAV为60%和91%，TT为64%和98%；方法3为88%和92%。基于人工神经网络的六传感器方法显示出最佳的敏感性和特异性；然而，单传感器方法可用作简单的筛查测试。
