Azarbarzin Ali, Moussavi Zahra
Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4246-9. doi: 10.1109/EMBC.2012.6346904.
This paper presents the results of our study on investigating the acoustical properties of snoring sounds (SS) recorded by two microphones (one over trachea and one hung in the air within 30-50 cm away from the subject) in relation to sleep apnea. Several features were extracted from SS segments of 50 snorers with different Apnea-Hypopnea Index (AHI). We used an optimal subset of the sound features to cluster the SS segments into two clusters (A and B). Then, the number of SS segments in cluster A was calculated and normalized by the total number of SS segments for each subject, resulting in 50 × 1 vector R. A correlation analysis was run between AHI and R. The results show a difference in acoustical properties of the tracheal and ambient snoring sounds and their ability to distinguish two types of snoring; the ambient snoring sounds are not as characteristic as tracheal snoring sounds.
本文介绍了我们的研究结果，该研究旨在调查通过两个麦克风（一个置于气管上方，另一个悬挂在距离受试者30 - 50厘米的空气中）记录的打鼾声音（SS）与睡眠呼吸暂停相关的声学特性。从50名具有不同呼吸暂停低通气指数（AHI）的打鼾者的SS片段中提取了几个特征。我们使用声音特征的最佳子集将SS片段聚类为两个簇（A和B）。然后，计算簇A中SS片段的数量，并通过每个受试者的SS片段总数进行归一化，得到50×1向量R。对AHI和R进行了相关性分析。结果表明，气管打鼾声音和周围打鼾声音的声学特性存在差异，以及它们区分两种打鼾类型的能力；周围打鼾声音不如气管打鼾声音具有特征性。
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