Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4090
Title: The usage of data augmentation strategies on the detection of murmur waves in a PCG signal
Authors: Torres, Jose
Oliveira, Jorge
Gomes, Elsa Ferreira
Keywords: PCG
Deep learning
Heart disease
CNN
SMOTE
Issue Date: 11-Feb-2022
Citation: Torres, J., Oliveira, J., & Gomes, E. F. (2022). The usage of data augmentation strategies on the detection of murmur waves in a PCG signal. In A. Tsanas, A. Fred, & H. Gamboa (Eds.), Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 9th-11th February 2022 (pp. 1-5). https//doi.org/10.5220/0000156300003123. Repositório Institucional UPT. http://hdl.handle.net/11328/4090
Abstract: Cardiac auscultation is a key screening tool used for cardiovascular evaluation. When used properly, it speeds up treatment and thus improving the patient’s life quality. However, the analysis and interpretation of the heart sound signals is subjective and dependent of the physician’s experience and domain knowledge. A computer assistant decision (CAD) system that automatically analyse heart sound signals, can not only support physicians in their clinical decisions but also release human resources to other tasks. In this paper, and to the best of our knowledge, for the first time a SMOTE strategy is used to boost a Convolutional Neural Network performance on the detection of murmur waves. Using the SMOTE strategy, a CNN achieved an overall of 88.43%.
URI: http://hdl.handle.net/11328/4090
ISBN: 978-989-758-552-4
ISSN: 2184-4305
Appears in Collections:REMIT - Publicações em Livros de Atas Internacionais / Papers in International Proceedings

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