This repository is a collection of academic articles, publiched methodologies, and datasets during 2017–2022, on the topic of heart sound analysis.
Content
📌 We are actively tracking the latest research and welcome contributions to our repository and survey paper. If your studies are relevant, please feel free to create an issue or a pull request.
📰 2024-07-13: Our paper A comprehensive survey on heart sound analysis in the deep learning era has been published in IEEE Computational Intelligence Magazine (IF 2024: 9) in 2024.
📰 2024-05-05: Our paper A comprehensive survey on heart sound analysis in the deep learning era was accepted by IEEE Computational Intelligence Magazine (IF 2024: 9) in 2024.
If you find this work helpful in your research, welcome to cite the paper and give a ⭐.
Please read and cite our paper:
Z. Ren, Y. Chang, T. T. Nguyen, Y. Tan, K. Qian and B. W. Schuller, A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era, in IEEE Computational Intelligence Magazine, vol. 19, no. 3, pp. 42-57, Aug. 2024, doi: 10.1109/MCI.2024.3401309.
@article{ren2024comprehensive,
author={Ren, Zhao and Chang, Yi and Nguyen, Thanh Tam and Tan, Yang and Qian, Kun and Schuller, Bj{\"o}rn W.},
journal={IEEE Computational Intelligence Magazine},
title={A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era},
year={2024},
volume={19},
number={3},
pages={42-57},
doi={10.1109/MCI.2024.3401309},
}
OR
Ren, Z., Chang, Y., Nguyen, T. T., Tan, Y., Qian, K., & Schuller, B. W. (2023). A comprehensive survey on heart sound analysis in the deep learning era. arXiv preprint arXiv:2301.09362.
@article{ren2023comprehensive,
title={A comprehensive survey on heart sound analysis in the deep learning era},
author={Ren, Zhao and Chang, Yi and Nguyen, Thanh Tam and Tan, Yang and Qian, Kun and Schuller, Bj{\"o}rn W.},
journal={arXiv preprint arXiv:2301.09362},
year={2023}
}
| Paper Title | Venue | Year |
|---|---|---|
| Multidimensional analytical study of heart sounds: A review | International Journal Bioautomation | 2015 |
| Phonocardiogram signal analysis-practices, trends and challenges: A critical review | IEMCON | 2015 |
| A review of intelligent systems for heart sound signal analysis | Journal of Medical Engineering & Technology | 2017 |
| Recent advances in heart sound analysis | Physiological Measurement | 2017 |
| Heart sound data acquisition and preprocessing techniques: A review | IGI Global | 2020 |
| Application of soft computing techniques to heart sound classification: A review of the decade | Soft Computing Applications and Techniques in Healthcare | 2020 |
| Algorithms for automatic analysis and classification of heart sounds – A systematic review | IEEE Access | 2018 |
| Dataset | Challenge | Task |
|---|---|---|
| PASCAL Database | PASCAL Challenge | Dataset A: Normal, Murmur, Extra Heart Sound, Artifact; Dataset B: Normal, Murmur, Extrasystole |
| PhysioNet/CinC Database | PhysioNet/CinC Challenge 2016 | Normal, Abnormal, Too noisy or ambiguous |
| HSS | ComParE Challenge 2018 | Normal, Mild, Moderate/Severe |
| Data on GitHub | -- | Normal, AS, MR, MS, MVP |
| Michigan Heart Sound Database, link 1 and 2 | -- | Normal, Pathological |
| CirCor DigiScope Database | George B. Moody PhysioNet Challenge 2022 | Normal, abnormal; presence, absence, or unclear cases of murmurs |
Disclaimer
Feel free to contact us if you have any queries or exciting news on this topic. In addition, we welcome all researchers to contribute to this repository and further contribute to the knowledge of the field.
If you have some other related references, please feel free to create a Github issue with the paper information. We will glady update the repos according to your suggestions. (You can also create pull requests, but it might take some time for us to do the merge)
