Transient analysis to enhance Wii Fit sleepiness tester

A. Tietäväinen, P. Aaltonen, A. Meriläinen, Anders Korsbäck, E. Hæggström
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引用次数: 2

Abstract

We are developing a posturographic sleepiness tester that employs wavelet and fractal dimension analysis. It detects and characterizes transients in postural sway signals. We measured 6 subjects' postural steadiness (eyes open/closed) with a Nintendo Wii Fit ® balance board every hour during 10 h. During the next two weeks, we performed three additional measurements with different time awake (TA) for each subject. We analyzed the results with 5 literature-based continuous sway measures and with 8 transient-based sway measures. In the eyes open situation 95% of the estimated TA's were inside ±4.8 h and ±2.8 h, respectively. These results show that the transient analysis has potential to detect daytime changes in postural steadiness and that it can be used to enhance posturographic TA estimation during daytime and possibly during sustained wakefulness.
瞬态分析增强Wii Fit嗜睡测试仪
我们正在开发一种采用小波和分形维数分析的姿势睡眠测试仪。它检测和表征姿势摇摆信号的瞬态。在10小时内,我们用任天堂Wii Fit®平衡板每小时测量6名受试者的姿势稳定性(睁眼/闭眼)。在接下来的两周内,我们对每位受试者进行了三次不同清醒时间(TA)的额外测量。我们分析了5个基于文献的连续摇摆测量和8个基于瞬态摇摆测量的结果。在睁眼情况下,95%的估计TA分别在±4.8 h和±2.8 h内。这些结果表明,瞬态分析有可能检测到日间姿势稳定性的变化,并可用于增强日间和持续清醒期间的姿势TA估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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