{"title":"利用短时间傅里叶变换频谱分析肺声的肺部畸形","authors":"A. Parkhi, M. Pawar","doi":"10.1109/CICN.2011.35","DOIUrl":null,"url":null,"abstract":"The lung itself cannot generate sound if there is no airflow, pressure differences between structures within the thorax. Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. Lung sound consists of two main types of sound Basic Lung sound and adventitious sound. The timing, repeatability, and shape of crackles are important parameters for diagnosis. In this paper we aim at automatic analysis of lung sounds for wheeze and crackle detection and classification.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Analysis of Deformities in Lung Using Short Time Fourier Transform Spectrogram Analysis on Lung Sound\",\"authors\":\"A. Parkhi, M. Pawar\",\"doi\":\"10.1109/CICN.2011.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The lung itself cannot generate sound if there is no airflow, pressure differences between structures within the thorax. Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. Lung sound consists of two main types of sound Basic Lung sound and adventitious sound. The timing, repeatability, and shape of crackles are important parameters for diagnosis. In this paper we aim at automatic analysis of lung sounds for wheeze and crackle detection and classification.\",\"PeriodicalId\":292190,\"journal\":{\"name\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Computational Intelligence and Communication Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2011.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Intelligence and Communication Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2011.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Deformities in Lung Using Short Time Fourier Transform Spectrogram Analysis on Lung Sound
The lung itself cannot generate sound if there is no airflow, pressure differences between structures within the thorax. Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. Lung sound consists of two main types of sound Basic Lung sound and adventitious sound. The timing, repeatability, and shape of crackles are important parameters for diagnosis. In this paper we aim at automatic analysis of lung sounds for wheeze and crackle detection and classification.