Digital Signal Processing and Analysis of Cardiopulmonary Audio Using a Multi-Channel Stethograph System

被引：0

作者：

Zhang, Xingzhe ^{[1
]}

Narakathu, Binu B. ^{[1
]}

Maddipatla, Dinesh ^{[1
]}

Turkani, Vikram S. ^{[1
]}

Bazuin, Bradley J. ^{[1
]}

Atashbar, Massood Z. ^{[1
]}

机构：

[1] Western Michigan Univ, Dept Elect & Comp Engn, Kalamazoo, MI 49008 USA

来源：

2018 IEEE SENSORS | 2018年

关键词：

MATLAB; stethograph; cardiopulmonary; signal processing; acoustic sensor; LUNG SOUNDS; CLASSIFICATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel MATLAB based auscultation diagnosis program was developed to analyze audio from the heart, lungs and trachea (HLT) using digital signal processing techniques. The HLT audio were non-invasively measured using a custom built multi-channel stethograph system, which can record audio through a set of 16 microphone sensors. FIR filter, Hamming window and cross-correlation algorithm were used for signal pre-processing, data segmentation and feature extraction, respectively. In addition, a user interface that displays the processed audio in both time domain and frequency domain along with its energy spectrogram was also developed. The auscultation diagnosis program was able to filter and distinguish between good and bad quality audio, with an accuracy of 96%. The performance of the system is analyzed and presented in this paper.

引用

页码：1094 / 1097

页数：4

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