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远程监测和分析肺部声音。

Monitoring and analysis of lung sounds remotely.

机构信息

Department of Instrumentation Technology, RV College of Engineering, Bangalore, Karnataka, India.

出版信息

Int J Chron Obstruct Pulmon Dis. 2011;6:407-12. doi: 10.2147/COPD.S20067. Epub 2011 Jul 20.

DOI:10.2147/COPD.S20067
PMID:21857780
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3157943/
Abstract

Visual and auditory analysis of respiratory sound signals promises improved detection of certain types of lung diseases. LabVIEW software was used to design a system that monitors the respiratory activity of the patient. The program developed calculates the respiratory rate, displays the time expanded waveform of the lung sound, and computes the fast Fourier transform and short-time Fourier transform to present the power spectrum and spectrogram respectively. These parameters are transmitted synchronously to the remote station using the Internet for online monitoring of the patient.

摘要

呼吸音信号的视觉和听觉分析有望提高某些类型肺病的检测率。我们使用 LabVIEW 软件设计了一个系统来监测患者的呼吸活动。开发的程序计算呼吸频率,显示肺部声音的时间扩展波形,并计算快速傅里叶变换和短时傅里叶变换,分别显示功率谱和频谱图。这些参数通过互联网同步传输到远程站点,以便对患者进行在线监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/5a276ffc9323/copd-6-407f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/69798b0a5d6d/copd-6-407f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/77b0545ac2c4/copd-6-407f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/8e863d46b83b/copd-6-407f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/01364cb79f05/copd-6-407f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/f8b2973bdcf8/copd-6-407f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/2c14868fe2f2/copd-6-407f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/adbcabcda67f/copd-6-407f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/687a7c33cd78/copd-6-407f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/b1a9d185abba/copd-6-407f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/412cefd49a48/copd-6-407f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/32d242cf413a/copd-6-407f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/776058a37359/copd-6-407f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/5a276ffc9323/copd-6-407f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/69798b0a5d6d/copd-6-407f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/77b0545ac2c4/copd-6-407f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/8e863d46b83b/copd-6-407f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/01364cb79f05/copd-6-407f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/f8b2973bdcf8/copd-6-407f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/2c14868fe2f2/copd-6-407f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/adbcabcda67f/copd-6-407f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/687a7c33cd78/copd-6-407f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/b1a9d185abba/copd-6-407f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/412cefd49a48/copd-6-407f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/32d242cf413a/copd-6-407f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/776058a37359/copd-6-407f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ba/3157943/5a276ffc9323/copd-6-407f13.jpg

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本文引用的文献

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Method for automatic detection of wheezing in lung sounds.肺部声音中哮鸣音的自动检测方法。
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2
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使用远程医疗监测慢性呼吸衰竭患者。
Life (Basel). 2021 Oct 20;11(11):1113. doi: 10.3390/life11111113.
4
A multi-channel acoustics monitor for perioperative respiratory monitoring: preliminary data.一种用于围手术期呼吸监测的多通道声学监测仪:初步数据。
J Clin Monit Comput. 2016 Feb;30(1):107-18. doi: 10.1007/s10877-015-9693-8. Epub 2015 Apr 14.
5
In reply.作为答复。
Dtsch Arztebl Int. 2015 Mar 6;112(10):174. doi: 10.3238/arztebl.2015.0174.