Classification of heart sounds based on the combination of the modified frequency wavelet transform and convolutional neural network

Author:

Chen Yongchao,Wei ShoushuiORCID,Zhang Yatao

Funder

Shandong Province Key Research and Development Plan

China Postdoctoral Science Foundation

China Postdoctoral Science Foundation under Grant

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference27 articles.

1. Potes C, Parvaneh S, Rahman A, Conroy B Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds. In: Computing in Cardiology Conference, 11–14 Sept. 2016. IEEE, pp 621–624

2. Whitaker BM, Suresha PB, Liu C, Clifford G, Anderson D (2017) Combining sparse coding and time-domain features for heart sound classification. Physiol Meas 38:1701–1713

3. Langley P, Murray A (2017) Heart sound classification from unsegmented phonocardiograms. Physiol Meas 38:1658–1670

4. Bobillo ID A Tensor approach to heart sound classification. In: Computing in Cardiology Conference, Vancouver, 2016. IEEE, pp 629–632

5. Homsi MN, Medina N, Quintero N, Perpiñan G, Quintana A, Warrick P (2016) Automatic heart sound recording classification using a nested set of ensemble algorithms. In: Computing in Cardiology Conference. IEEE, pp 817–820

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