A Multimodal Deep Neural Network for ECG and PCG Classification With Multimodal Fusion-Reference-Cited by-同舟云学术

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A Multimodal Deep Neural Network for ECG and PCG Classification With Multimodal Fusion

Published:2023-12-08 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Information Science and Technology (ICIST)
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Author:

Han Haozhan¹,Xiang Muchao²,Lian Cheng¹,Liu Dan³,Zeng Zhigang⁴

Affiliation:

1. School of Automation Wuhan University of Technology,Wuhan,China

2. State Grid Hubei Electric Power Research Institute,Wuhan,China

3. School of Instrument and Electronics North University of China,Taiyuan,China

4. School of Artificial Intelligence and Automation Huazhong University of Science and Technology,Wuhan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366518/10366520/10367180.pdf?arnumber=10367180

Reference21 articles.

1. A Survey on AI-based ECG, PPG, and PCG Signals Based Biometric Authentication System

2. Heart detection and diagnosis based on ECG and EPCG relationships;Phanphaisarn;Med Devices (Auckl),2011

3. Research on the Classification of ECG and PCG Signals Based on BiLSTM-GoogLeNet-DS

4. The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG

5. A Hybrid Transformer Model for Obstructive Sleep Apnea Detection Based on Self-Attention Mechanism Using Single-Lead ECG

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