A dataset of lung sounds recorded from the chest wall using an electronic stethoscope

被引:61
作者
Fraiwan, Mohammad [1 ]
Fraiwan, Luay [2 ]
Khassawneh, Basheer [3 ]
Ibnian, Ali [3 ]
机构
[1] Jordan Univ Sci & Technol, Dept Comp Engn, POB 3030, Irbid 22110, Jordan
[2] Jordan Univ Sci & Technol, Dept Biomed Engn, POB 3030, Irbid 22110, Jordan
[3] Jordan Univ Sci & Technol, Dept Internal Med, POB 3030, Irbid 22110, Jordan
关键词
Lung sounds; Pulmonary diseases; Electronic stethoscope; Deep learning; Artificial intelligence;
D O I
10.1016/j.dib.2021.106913
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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. (C) 2021 The Authors. Published by Elsevier Inc.
引用
收藏
页数:6
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