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睡眠呼吸障碍筛查中的压缩气管声音分析

Compressed tracheal sound analysis in screening of sleep-disordered breathing.

作者信息

Rauhala Esa, Hasan Joel, Kulkas Antti, Saastamoinen Antti, Huupponen Eero, Cameron Frank, Himanen Sari-Leena

机构信息

Department of Clinical Neurophysiology, Medical Imaging Centre, Pirkanmaa Hospital District, Tampere, Finland.

出版信息

Clin Neurophysiol. 2008 Sep;119(9):2037-43. doi: 10.1016/j.clinph.2008.04.298. Epub 2008 Jun 20.

DOI:10.1016/j.clinph.2008.04.298
PMID:18571982
Abstract

OBJECTIVE

To evaluate the suitability of compressed tracheal sound signal for screening sleep-disordered breathing.

METHODS

Thirty-three consecutive patients underwent a polysomnography with a tracheal sound analysis. Nineteen patients were healthy except for the sleep complaint, 9 were hypertonic and 3 were hypertonic and had elevated cholesterol. Minimum and maximum values of each consecutive, non-overlapping segment of 15s of original sound data were extracted. All these compressed tracheal sound traces were divided into plain, thin and thick signal periods. Also pure, 10-min episodes of plain, thin and thick tracheal sound periods were selected and the nasal pressure flow shapes during these pure sound periods were examined.

RESULTS

There was a significant positive correlation between the total nocturnal amount of thick periods and AHI. Apneas and hypopneas were most common during the 10-min episodes of thick sound periods. The proportion of round (normal, non-flattened) inspiratory flow shape was highest during the pure plain periods.

CONCLUSIONS

Breathing consisting of apneas and hypopneas can quite reliably be visualised with compressed tracheal sound analysis. The other interesting outcome of the study is that even prolonged flow limitation might be revealed with the method.

SIGNIFICANCE

Compressed tracheal sound analysis might provide a promising screening method for obstructive apneas and hypopneas.

摘要

目的

评估压缩气管声音信号用于筛查睡眠呼吸障碍的适用性。

方法

连续33例患者接受了多导睡眠图检查及气管声音分析。19例患者除有睡眠主诉外身体健康,9例为高血压患者,3例为高血压且胆固醇升高患者。提取原始声音数据每15秒连续、不重叠片段的最小值和最大值。所有这些压缩气管声音轨迹被分为普通、细和粗信号期。还选取了普通、细和粗气管声音期各10分钟的纯净片段,并检查了这些纯净声音期的鼻压力流形态。

结果

粗信号期的夜间总量与呼吸暂停低通气指数(AHI)之间存在显著正相关。呼吸暂停和低通气在粗声音期的10分钟片段中最为常见。在纯净普通期,圆形(正常、未变平)吸气气流形态的比例最高。

结论

通过压缩气管声音分析能够相当可靠地呈现由呼吸暂停和低通气组成的呼吸情况。该研究的另一个有趣结果是,该方法甚至可能揭示出长时间的气流受限情况。

意义

压缩气管声音分析可能为阻塞性呼吸暂停和低通气提供一种有前景的筛查方法。

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Compressed tracheal sound analysis in screening of sleep-disordered breathing.睡眠呼吸障碍筛查中的压缩气管声音分析
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