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儿童喘鸣音和鼾声的数字信号处理

Digital signal processing of stridor and snoring in children.

作者信息

Leiberman A, Cohen A, Tal A

出版信息

Int J Pediatr Otorhinolaryngol. 1986 Dec;12(2):173-85. doi: 10.1016/s0165-5876(86)80074-x.

DOI:10.1016/s0165-5876(86)80074-x
PMID:3570683
Abstract

Stridor and snoring are common signs of upper airway obstruction. The nature and characteristics of the stridor and snoring depend upon the site of obstruction. Sophisticated analysis of these sounds may provide important information concerning the source of the sound helping to assess the patient more objectively. The preliminary results of computerized digital analysis of stridor and snoring sounds are presented in 5 children. Two main programs were applied to analyse the signal: the Power Spectral Density (PSD) function and the Estimated Cross-sectional Area (ECSA). A consistent pattern according to the site of the produced sound was seen. Further acoustical analyses are needed to standardize this method and to program the computer to indicate the various sites of lesions.

摘要

喘鸣和打鼾是上呼吸道梗阻的常见体征。喘鸣和打鼾的性质及特征取决于梗阻部位。对这些声音进行精细分析可能会提供有关声音来源的重要信息,有助于更客观地评估患者。本文展示了对5名儿童喘鸣和打鼾声音进行计算机数字分析的初步结果。应用了两个主要程序来分析信号:功率谱密度(PSD)函数和估计横截面积(ECSA)。根据产生声音的部位观察到了一致的模式。需要进一步的声学分析来规范该方法,并对计算机进行编程以指示病变的不同部位。

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Digital signal processing of stridor and snoring in children.儿童喘鸣音和鼾声的数字信号处理
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Digital signal analysis of snoring sounds in children.儿童打鼾声的数字信号分析
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引用本文的文献

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Automatic detection of whole night snoring events using non-contact microphone.使用非接触式麦克风自动检测整夜打鼾事件。
PLoS One. 2013 Dec 31;8(12):e84139. doi: 10.1371/journal.pone.0084139. eCollection 2013.
2
[Acoustic analyses of snoring sounds: the possibilities and outlook].[打鼾声音的声学分析:可能性与展望]
HNO. 2012 Apr;60(4):300-7. doi: 10.1007/s00106-012-2487-0.
3
Acoustic analysis of infantile stridor: a review.
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