A Heart Sound Diagnosis Processing Unit Based on LSTM Neural Network-Reference-Cited by-同舟云学术

A Heart Sound Diagnosis Processing Unit Based on LSTM Neural Network

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Circuits and Systems (ICCS)
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Author:

Zhou Weixin¹,Wang Ang¹,Yu Lina²,Xiao Wan'Ang¹

Affiliation:

1. Institute of Semiconductors, Chinese Academy of Sciences Center of Materials Science and Optoelectronics Engineering & School of Integrated Circuits, University of Chinese Academy of Sciences,Beijing,China

2. Institute of Semiconductors, Chinese Academy of Sciences,Beijing,China

Funder

Chinese Academy of Sciences

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935818/9936057/09936094.pdf?arnumber=9936094

Reference24 articles.

1. Recognition of normal–abnormal phonocardiographic signals using deep convolutional neural networks and mel-frequency spectral coefficients

2. Heart sound classification based on improved MFCC features and convolutional recurrent neural networks

3. Using Deep Gated RNN with a Convolutional Front End for End:to:End Classification of Heart Sound;thomae;Computing in Cardiology Conference,2017

4. Heart Sound Segmentation Using Bidirectional LSTMs With Attention

5. Advances in Microsensors and Wearable Bioelectronics for Digital Stethoscopes in Health Monitoring and Disease Diagnosis

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