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用于评估睡眠质量的非侵入性监测设备的验证

Validation of non-invasive monitoring device to evaluate sleep quality.

作者信息

Pino Esteban J, Moran Alejandra A, Dorner De la Paz Astrid, Aqueveque Pablo

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:7974-7. doi: 10.1109/EMBC.2015.7320242.

Abstract

This paper presents the validation of a noninvasive sleep monitoring device and sleep quality evaluation. The system is based on an array of pressure sensors positioned on the bed that can measure relevant parameters to estimate sleep quality. This device can measure time in bed (TB), body movements (BM), the thorax expansion, periods out of bed (POB) and apnea events. We compare the results of the unobtrusive pressure sensor array with traditional polysomnography (PSG). The algorithms developed for the device provide a very good detection of all the parameters required to estimate sleep quality as compared to the gold-standard data for a study of 30 patients. For the periods out of bed it presents a sensibility (Se) and specificity (Sp) of 100%. To grade the severity of sleep apnea we compare the number of events per hour or apnea-hypopnea index (AHI) obtained by the device and the PSG; obtaining a Se of 94% and a Sp of 61%. These results validate the use of the device for screening of sleep apnea disease.

摘要

本文介绍了一种无创睡眠监测设备的验证及睡眠质量评估。该系统基于布置在床上的一系列压力传感器,这些传感器可以测量相关参数以估计睡眠质量。此设备能够测量卧床时间(TB)、身体运动(BM)、胸廓扩张、离床时间(POB)和呼吸暂停事件。我们将这种不引人注意的压力传感器阵列的结果与传统多导睡眠图(PSG)进行比较。与针对30名患者的一项研究的金标准数据相比,为该设备开发的算法对估计睡眠质量所需的所有参数都有很好的检测效果。对于离床时间,其灵敏度(Se)和特异度(Sp)均为100%。为了对睡眠呼吸暂停的严重程度进行分级,我们比较了该设备和PSG每小时的事件数或呼吸暂停低通气指数(AHI);得到的灵敏度为94%,特异度为61%。这些结果验证了该设备在睡眠呼吸暂停疾病筛查中的应用。

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