一种自动检测哮鸣音的新方法。

A new method for automatic wheeze detection.

作者信息

Waris M, Helistö P, Haltsonen S, Saarinen A, Sovijärvi A R

机构信息

Laboratory of Biomedical Engineering, Helsinki University of Technology, Finland.

出版信息

Technol Health Care. 1998 Jun;6(1):33-40.

PMID:9754682

Abstract

A new automatic wheeze detection method which is based on image processing techniques applied to the sonagram was developed here. In the calculation of the sonagram, autoregressive and FFT spectrum estimation methods were compared. The method was validated in four wheezing asthmatic patients by a pulmonary physician. Nine out of ten wheezes longer than 250 ms were detected. Very short wheezes were not detected. The false positive amount of wheezing in control subjects was only about 1%. The method extracts also information about the frequency, duration, flow and volume associated with the wheezes.

摘要

本文开发了一种基于应用于声谱图的图像处理技术的新型自动哮鸣音检测方法。在声谱图计算中，对自回归和快速傅里叶变换（FFT）频谱估计方法进行了比较。该方法由一位肺科医生在4名哮喘哮鸣音患者中进行了验证。检测到了10个时长超过250毫秒的哮鸣音中的9个。非常短的哮鸣音未被检测到。对照组受试者哮鸣音的假阳性率仅约为1%。该方法还提取了与哮鸣音相关的频率、持续时间、气流和音量信息。