A Federated Learning Paradigm for Heart Sound Classification-Reference-Cited by-同舟云学术

A Federated Learning Paradigm for Heart Sound Classification

Published:2022-07-11 Issue: Volume: Page:
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Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Qiu Wanyong¹,Qian Kun¹,Wang Zhihua²,Chang Yi³,Bao Zhihao¹,Hu Bin¹,Schuller Bjorn W.³,Yamamoto Yoshiharu⁴

Affiliation:

1. Laboratory of Brain Health Engineering (BHE), School of Medical Technology, Beijing Institute of Technology,Beijing,China,100081

2. School of Mechatronic Engineering, China University of Mining and Technology,Xuzhou,Jiangsu,China

3. Imperial College, London,GLAM-the Group on Language, Audio, & Music,London,UK,SW7 2AZ

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

Publisher

IEEE

Link

Reference17 articles.

1. Federated learning of electronic health records im-proves mortality prediction in patients hospitalized with covid-19;vaid;medRxiv,2020

4. Normal/abnormal heart sound recordings classi-fication using convolutional neural network;nilanon;2016 Computing in Cardiology Conference (CinC),0

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