南京大学学报（自然科学版）Issue(1)：157-164,8.DOI:10.13232/j.cnki.jnju.2015.01.022
基于高频子带特征的咳嗽检测方法
Cough detection based on high-frequency subbandfeatures
摘要
Abstract
Cough is a very common symptom in respiratory diseases.Obj ective analysis on the frequency and intensity of cough by pattern recognition algorithm can provide more valuable clinical information for patients with chronic cough and help them with cough tracking and diagnosis.Cough detection is the basis of the diagnosis and analysis of cough in clinical continuous recordings.In this article,we consider cough detection problem as a binary classification ones and make use of classifier to segregate cough from background noise for the purpose of cough detection.We propose a novel high-frequency subband features method on the basis of in-depth study of the spectral distribution of cough.It is found that the energy of cough signal is distributed widely and concentrated in the high frequency region, which is very different from spectral patterns of speech signals.So in experiments,we firstly extract subband features of which frequency region varies from low frequency to high frequency using filter banks,and then find the performance of high frequency-subband features which is superior to that of low frequency-subband.Finally,the high-frequency subband method uses high-frequency filter to get corresponding high frequency signal before extracting the features of cough.The method synthesizes the experimental data under the condition of different noisy type and SNR(signal to noise ratio),then compares and analyses the performance of different feature extraction methods under specific noisy conditions.Experimental results demonstrate that compared with traditional audio feature extraction method,the method based on high-frequency subband features achieves substantial performance improvement in recognition.关键词
子带/咳嗽检测/特征提取/gammatone滤波器组/模式识别Key words
subband/cough detection/feature extraction/gammatone filter banks/pattern recognition分类
信息技术与安全科学引用本文复制引用
陈冲,尤鸣宇,刘家铭,王峥,李国正,徐镶怀,邱忠民..基于高频子带特征的咳嗽检测方法[J].南京大学学报（自然科学版）,2015,(1):157-164,8.基金项目
国家自然科学基金(61273305,81274007),中央高校基本科研业务费专项资金 （61273305,81274007）
