Monitoring Sound To Quantify Snoring and Sleep Apnea Severity Using a Smartphone: Proof of Concept
Monitoring Sound To Quantify Snoring and Sleep Apnea Severity Using a Smartphone: Proof of Concept
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DOI：
10.5664/jcsm.3364
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发表时间：
2014-01-01
影响因子：
4.3
通讯作者：
Tanigawa, Takeshi
中科院分区：
文献类型：
--
作者：
Nakano, Hiroshi;Hirayama, Kenji;Tanigawa, Takeshi
研究目的：习惯性鼾症是一种常见的疾病，不仅是阻塞性睡眠呼吸暂停(OSA)的标志，而且还可能导致血管危险。然而，在家里查看鼾声状态并非易事。我们尝试开发一种单独由智能手机组成的鼾声监测仪，旨在量化鼾声和OSA的严重程度。方法：受试者包括50名接受多导睡眠图(PSG)检查的患者，其中10名患者的数据用于开发程序，40名患者的数据用于验证程序。一部智能手机被连接到胸骨上方的前胸壁上。结果：智能手机测得的鼾声时间与PSG测得的鼾声时间高度相关(r=0.93)。智能手机测得的前1个百分位数的声压级(L1)与PSG测定的睡眠环境声L1呈正相关(r=0.92)。智能手机估计的呼吸紊乱指数(SMART-RDI)与PSG获得的呼吸暂停低通气指数(AHI)高度相关(r=0.94)。SMART-RDI诊断OSA(AHI=15)的敏感度和特异度分别为0.70和0.94。结论：智能手机可以在受控实验室环境下有效地监测鼾声和OSA。这项技术在嘈杂的家庭环境中的使用仍然没有得到证实，还需要进一步的调查。
Study Objectives: Habitual snoring is a prevalent condition that is not only a marker of obstructive sleep apnea (OSA) but can also lead to vascular risk. However, it is not easy to check snoring status at home. We attempted to develop a snoring sound monitor consisting of a smartphone alone, which is aimed to quantify snoring and OSA severity.Methods: The subjects included 50 patients who underwent diagnostic polysomnography (PSG), of which the data of 10 patients were used for developing the program and that of 40 patients were used for validating the program. A smartphone was attached to the anterior chest wall over the sternum. It acquired ambient sound from the built-in microphone and analyzed it using a fast Fourier transform on a real-time basis.Results: Snoring time measured by the smartphone highly correlated with snoring time measured by PSG (r = 0.93). The top 1 percentile value of sound pressure level (L1) determined by the smartphone correlated with the ambient sound L1 during sleep determined by PSG (r = 0.92). Moreover, the respiratory disturbance index estimated by the smartphone (smart-RDI) highly correlated with the apnea-hypopnea index (AHI) obtained by PSG (r = 0.94). The diagnostic sensitivity and specificity of the smart-RDI for diagnosing OSA (AHI = 15) were 0.70 and 0.94, respectively.Conclusions: A smartphone can be used for effectively monitoring snoring and OSA in a controlled laboratory setting. Use of this technology in a noisy home environment remains unproven, and further investigation is needed.