听诊器
心音
医学
慢性阻塞性肺病
呼吸音
肺
裂纹
听诊
喘息
哮喘
肺炎
语音识别
心脏病学
计算机科学
内科学
放射科
作者
Mohammad Fraiwan,Luay Fraiwan,Basheer Khassawneh,Ali Ibnian
出处
期刊:Data in Brief
[Elsevier BV]
日期:2021-02-26
卷期号:35: 106913-106913
被引量:72
标识
DOI:10.1016/j.dib.2021.106913
摘要
The advancement of stethoscope technology has enabled high quality recording of patient sounds. We used an electronic stethoscope to record lung sounds from healthy and unhealthy subjects. The dataset includes sounds from seven ailments (i.e., asthma, heart failure, pneumonia, bronchitis, pleural effusion, lung fibrosis, and chronic obstructive pulmonary disease (COPD)) as well as normal breathing sounds. The dataset presented in this article contains the audio recordings from the examination of the chest wall at various vantage points. The stethoscope placement on the subject was determined by the specialist physician performing the diagnosis. Each recording was replicated three times corresponding to various frequency filters that emphasize certain bodily sounds. The dataset can be used for the development of automated methods that detect pulmonary diseases from lung sounds or identify the correct type of lung sound. The same methods can also be applied to the study of heart sounds.
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