Application of the computer-based respiratory sound analysis system based on Mel-frequency cepstral coefficient and dynamic time warping in healthy children
10.3760/cma.j.issn.0578-1310.2016.08.010
- VernacularTitle:基于Mel频率倒谱系数、动态时间归准的计算机肺音分析系统在健康儿童中的应用
- Author:
Weiyuan YAN
1
;
Lin LI
;
Yungang YANG
;
Xiaoliang LIN
;
Jinzhun WU
Author Information
1. 361003,厦门大学附属第一医院儿科
- Keywords:
Respiratory sounds;
Stethoscopes;
Mel frequency cepstrum coefficient;
Dynamic time warping
- From:
Chinese Journal of Pediatrics
2016;54(8):605-609
- CountryChina
- Language:Chinese
-
Abstract:
Objective We designed a computer-based respiratory sound analysis system to identify pediatric normal lung sound.To verify the validity of the computer-based respiratory sound analysis system.Method First we downloaded the standard lung sounds from the network database (website:http://www.easyauscultation.corn/lung-sounds-reference-guide) and recorded 3 samples of abnormal loud sound (rhonchi,wheeze and crackles) from three patients of The Department of Pediatrics,the First Affiliated Hospital of Xiamen University.We regarded such lung sounds as "reference lung sounds".The " test lung sounds" were recorded from 29 children form Kindergarten of Xiamen University.we recorded lung sound by portable electronic stethoscope and valid lung sounds were selected by manual identification.We introduced Mel-frequency cepstral coefficient (MFCC) to extract lung sound features and dynamic time warping (DTW) for signal classification.Result We had 39 standard lung sounds,recorded 58 test lung sounds.This computer-based respiratory sound analysis system was carried out in 58 lung sound recognition,correct identification of 52 times,error identification 6 times.Accuracy was 89.7％.Conclusion Based on MFCC and DTW,our computer-based respiratory sound analysis system can effectively identify healthy lung sounds of children (accuracy can reach 89.7％),fully embodies the reliability of the lung sounds analysis system.
