Table 1 Some frequently used lung sounds datasets
From: Performance evaluation of lung sounds classification using deep learning under variable parameters
No. | Dataset | Year | Number of records/subjects | Publicly available | Creator |
|---|---|---|---|---|---|
1 | ICBHI 2017 | 2017 | 920/126 | Yes | Rocha et al. [17] |
2 | SPRSound | 2022 | 2683/292 | Yes | Zhang et al. [18] |
3 | HF_Lung_V2 | 2022 | 13964/300 | Yes | Hsu et al. [19] |
4 | Respiratory Database@TR | 2021 | 3696/77 | Yes | Altan et al. [20] |
5 | R.A.L.E Lung Sounds 3.1 | 2004 | \(\ge\)Â 50/unknown | Commercial use | PixSoft and Medi-Wave [21] |
6 | Own generated | 2023 | 1371/1371 | No | Aptekarev et al. [22] |
7 | Own generated | 2021 | 1918/871 | No | Kim et al. [10] |
8 | Own generated | 2022 | 301/103 | No | Fraiwan et al. [23] |
9 | Own generated | 2022 | 287/47 | No | Tessema et al. [24] |
10 | Own generated | 2020 | 17930/1630 | No | Aykanat et al. [11] |
11 | Own generated | 2023 | 1021/126 | No | Choi et al. [25] |