作者
Hui Lu, Julia Beatriz Yip, Tobias Steigleder, Stefan Grießhammer, Maria Heckel, Naga Venkata Sai Jitin Jami, Bjoern Eskofier, Christoph Ostgathe, Alexander Koelpin
发表日期
2022/9/4
研讨会论文
2022 Computing in Cardiology (CinC)
卷号
498
页码范围
1-4
出版商
IEEE
简介
Cardiac auscultation provides an efficient and cost-effective way for cardiac disease pre-screening. The George B. Moody PhysioNet Challenge 2022 aimed to detect heart murmurs and clinical outcomes with heart sound recordings from multiple auscultation locations. Our team HearHeart proposed a lightweight convolutional neural network (CNN) to detect heart murmurs and a random forest model to classify clinical outcomes. 128 Melspectrogram features and wide features like the socio-demographic data and statistical features are extracted. Different techniques are employed to migrate the data imbalance and model the overfitting problem. We used two data augmentation methods, noise injection and spectrogram augmentation in time and frequency domain to increase the training samples and avoid overfitting during training. Besides, weighted loss functions are applied to both tasks to deal with data …
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H Lu, JB Yip, T Steigleder, S Grießhammer, M Heckel… - 2022 Computing in Cardiology (CinC), 2022