{"title":"通过肺音分类分析肺部疾病及检测人体肺部畸形","authors":"Jayant Mankar, P. Malviya","doi":"10.1109/ICCSP.2014.6950009","DOIUrl":null,"url":null,"abstract":"To analyze lung sound by auscultation method requires substantial clinical experience, a fine stethoscope and good listening skills. The lung itself cannot generate sound if there is no airflow; pressure differences between structures within the thorax. The type of lung sound can be known by listening to the lung sound. The timing, repeatability and shape of crackles are important parameter for diagnosis. In this paper, we aim to detect and classify crackle to find deformities in lungs.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Analysis of lung diseases and detecting deformities in human lung by classifying lung sounds\",\"authors\":\"Jayant Mankar, P. Malviya\",\"doi\":\"10.1109/ICCSP.2014.6950009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To analyze lung sound by auscultation method requires substantial clinical experience, a fine stethoscope and good listening skills. The lung itself cannot generate sound if there is no airflow; pressure differences between structures within the thorax. The type of lung sound can be known by listening to the lung sound. The timing, repeatability and shape of crackles are important parameter for diagnosis. In this paper, we aim to detect and classify crackle to find deformities in lungs.\",\"PeriodicalId\":149965,\"journal\":{\"name\":\"2014 International Conference on Communication and Signal Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Communication and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2014.6950009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Communication and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2014.6950009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of lung diseases and detecting deformities in human lung by classifying lung sounds
To analyze lung sound by auscultation method requires substantial clinical experience, a fine stethoscope and good listening skills. The lung itself cannot generate sound if there is no airflow; pressure differences between structures within the thorax. The type of lung sound can be known by listening to the lung sound. The timing, repeatability and shape of crackles are important parameter for diagnosis. In this paper, we aim to detect and classify crackle to find deformities in lungs.