AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification-Reference-Cited by-同舟云学术

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AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification

Published:2023-12-15 Issue: Volume:15 Page:90-94
ISSN:
Container-title:2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom)
language:
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Author:

Tan Yang¹,Wang Zhihua²,Qian Kun¹,Bao Zhihao¹,Cao Zheyu¹,Hu Bin¹,Yamamoto Yoshiharu²,Schuller Björn W.³

Affiliation:

1. Beijing Institute of Technology,Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Ministry of Education,Beijing,China

2. Graduate School of Education, The University of Tokyo,Educational Physiology Laboratory,Tokyo,Japan

3. GLAM - Group on Language, Audio, & Music, Imperial College London,London,UK

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10472302/10472335/10472362.pdf?arnumber=10472362

Reference28 articles.

1. Cardiac auscultatory skills of physicians-in-training: a comparison of three English-speaking countries

2. Engineering assisted medical training: Development of an auscultation simulator;Zubair;J Cardiol Curr Res,2022

3. An overview of heart-noise reduction of lung sound using wavelet transform based filter

4. An open access database for the evaluation of heart sound algorithms

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