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首页> 外文期刊>Journal of Sensors >The Development of a Dual-Radar System with Automatic Hypopnea Threshold Optimization for Contact-Free Sleep Apnea-Hypopnea Syndrome Screening
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The Development of a Dual-Radar System with Automatic Hypopnea Threshold Optimization for Contact-Free Sleep Apnea-Hypopnea Syndrome Screening

机译:无呼吸睡眠呼吸暂停低通气综合征筛查的自动呼吸不足阈值优化双雷达系统的开发

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摘要

Full-night polysomnography (PSG) examination is regarded as the gold standard for the diagnosis of sleep apnea-hypopnea syndrome (SAHS). However, PSG requires the placement of multiple sensors on the head, face, and chest, which can impose a heavy strain on patients. Therefore, in the present study, we aimed to develop a contact-free, stand-alone SAHS screening system that eliminates body movement artifacts based on automatic optimization of the hypopnea threshold. Doppler radar sensors were placed beneath a mattress. In order to achieve high sensitivity and specificity, the hypopnea was based on the average amplitude of respiration during the full sleep period. The threshold was determined via receiver operating characteristic (ROC) analysis using PSG as a reference. We conducted full-night clinical tests of the proposed system in 27 patients with suspected SAHS (49 ± 12 years) at Tomei Atsugi Hospital. When predicting the severity of SAHS with an apnea-hypopnea index (AHI) of >30/h using PSG as a reference, the proposed system achieved a sensitivity of 100% and a specificity of 100%. These results represent a drastic improvement over those of our previous study (sensitivity 90%; specificity 79%).
机译:整夜的多导睡眠图(PSG)检查被视为诊断睡眠呼吸暂停低通气综合征(SAHS)的金标准。但是,PSG要求在头部,面部和胸部放置多个传感器,这会给患者带来沉重的负担。因此,在本研究中,我们旨在开发一种无接触,独立的SAHS筛查系统,该系统可根据呼吸不足阈值的自动优化消除人体运动伪影。多普勒雷达传感器放置在床垫下面。为了获得高灵敏度和特异性,呼吸不足应基于整个睡眠期间的平均呼吸振幅。通过使用PSG作为参考的接收器工作特性(ROC)分析确定阈值。我们在Tomei Atsugi医院对27例疑似SAHS(49±±12岁)的患者进行了拟议系统的整夜临床测试。当以PSG为参考预测呼吸暂停低通气指数(AHI)> 30 / h的SAHS严重程度时,拟议的系统实现了100%的灵敏度和100%的特异性。这些结果比我们以前的研究(灵敏度90%;特异性79%)有了显着改善。

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