Characterization of $S_1$ and $S_2$ Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network-Reference-Cited by-同舟云学术

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Characterization of $S_1$ and $S_2$ Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network

Published:2019-09 Issue:9 Volume:68 Page:3211-3220
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Mishra Madhusudhan^ORCID,Menon Hrishikesh^ORCID,Mukherjee Anirban^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/8793203/08491369.pdf?arnumber=8491369

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era;IEEE Computational Intelligence Magazine;2024-08

2. Improved Heart Sound Classification Using LSTM Based Deep Learning Technique;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

3. An edge-device-compatible algorithm for valvular heart diseases screening using phonocardiogram signals with a lightweight convolutional neural network and self-supervised learning;Computer Methods and Programs in Biomedicine;2024-01

4. Recent Advances in PCG Signal Analysis using AI: A Review;International Journal on Smart Sensing and Intelligent Systems;2024-01-01

5. QDRJL: Quaternion dynamic representation with joint learning neural network for heart sound signal abnormal detection;Neurocomputing;2023-12

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