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可实现实时追踪的呼吸音描记器。

Phonopneumograph possible for real-time tracing.

作者信息

Homma Y, Matsuzaki M, Ogasawara H, Munakata M

出版信息

Comput Biomed Res. 1985 Dec;18(6):502-9. doi: 10.1016/0010-4809(85)90026-6.

DOI:10.1016/0010-4809(85)90026-6
PMID:4075785
Abstract

We constructed a new phonopneumograph that provides real-time tracing of lung sounds at a high speed without the steps of memory and playback by use of a thermal printer system. Accuracy of the recorded wave form was considered adequate even at the maximum speed of 750 mm/sec for detailed wave form analysis. The device is easily connected to a recording system for respiratory flow rate or volume. To test the clinical usefulness of this portable instrument, the difference in the interpretation of four types of basic adventitious lung sounds by different listeners was examined. The "trained" group who had experience in using this instrument interpreted adventitious lung sounds more accurately than did the "untrained" group. Even in the "trained" group, however, the accuracy of identifying certain sounds was sometimes low. These results suggest that this device is useful for bedside interpretation of adventitious lung sounds or for training of auscultation ability.

摘要

我们构建了一种新型的呼吸音描记仪,它通过热打印机系统,无需存储和回放步骤即可高速实时追踪肺部声音。即使在750毫米/秒的最大速度下进行详细的波形分析,记录波形的准确性也被认为是足够的。该设备易于连接到呼吸流速或容积的记录系统。为了测试这种便携式仪器的临床实用性,我们研究了不同听众对四种基本附加肺音的解读差异。有使用该仪器经验的“训练有素”组比“未训练”组更准确地解读附加肺音。然而,即使在“训练有素”组中,识别某些声音的准确性有时也很低。这些结果表明,该设备对于床边附加肺音的解读或听诊能力的训练是有用的。

相似文献

1
Phonopneumograph possible for real-time tracing.可实现实时追踪的呼吸音描记器。
Comput Biomed Res. 1985 Dec;18(6):502-9. doi: 10.1016/0010-4809(85)90026-6.
2
[Clinical recording of lung sounds: a new phonopneumograph for both real time and non-time-limited tracing (author's transl)].
Nihon Kyobu Shikkan Gakkai Zasshi. 1982 Jan;20(1):69-75.
3
Analysis of discontinuous adventitious lung sounds by Hilbert-Huang spectrum.基于希尔伯特-黄变换的间断性附加肺音分析
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3620-3. doi: 10.1109/IEMBS.2008.4649990.
4
[Normal and Adventitious Breath Sounds].[正常呼吸音与附加呼吸音]
Pneumologie. 2016 Jun;70(6):397-404. doi: 10.1055/s-0042-106155. Epub 2016 May 13.
5
Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination.人工智能算法在肺部听诊检查中的实际应用。
Eur J Pediatr. 2019 Jun;178(6):883-890. doi: 10.1007/s00431-019-03363-2. Epub 2019 Mar 29.
6
Separation of discontinuous adventitious sounds from vesicular sounds using a wavelet-based filter.使用基于小波的滤波器从肺泡呼吸音中分离出间断性附加音。
IEEE Trans Biomed Eng. 1997 Dec;44(12):1269-81. doi: 10.1109/10.649999.
7
Evaluation of lung sounds by telephone.
Ann Allergy. 1985 Feb;54(2):109-11.
8
Digital stethoscopes compared to standard auscultation for detecting abnormal paediatric breath sounds.与标准听诊法相比,数字听诊器用于检测儿童异常呼吸音。
Eur J Pediatr. 2017 Jul;176(7):989-992. doi: 10.1007/s00431-017-2929-5. Epub 2017 May 16.
9
[Reminders for lung auscultation and percussion].[肺部听诊和叩诊注意事项]
Lakartidningen. 2000 Jul 26;97(30-31):3372-5.
10
[New classification and analysis of lung sounds].[肺部声音的新分类与分析]
Nihon Kyobu Geka Gakkai Zasshi. 1989 Dec;37(12):2532-7.

引用本文的文献

1
Spectral and waveform characteristics of fine and coarse crackles.细湿啰音和粗湿啰音的频谱及波形特征。
Thorax. 1991 Sep;46(9):651-7. doi: 10.1136/thx.46.9.651.
2
The need for standards in recording and analysing respiratory sounds.记录和分析呼吸音时对标准的需求。
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