Hybrid Method Based on Extreme Learning Machine for Fetal Electrocardiogram Extraction-Reference-Cited by-同舟云学术

Hybrid Method Based on Extreme Learning Machine for Fetal Electrocardiogram Extraction

Published:2022-06-10 Issue: Volume: Page:
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Container-title:2022 14th International Conference on Communication Software and Networks (ICCSN)
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Author:

Pu Xiujuan¹,Long Ling¹,Han Liang¹,Ding Mengqi¹,Peng Jingling¹

Affiliation:

1. School of Microelectronics and Communication Engineering, Chongqing University,Chongqing,China

Funder

Natural Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9817562/9817569/09817594.pdf?arnumber=9817594

Reference13 articles.

1. Extreme learning machine: Theory and applications;huang;Neurocomputing,2006

2. Noninvasive fetal ecg estimation using adaptive comb filter;zheng;Computer Methods and Programs in Biomedicine,2013

3. Combining and benchmarking methods of foetal ECG extraction without maternal or scalp electrode data

4. PhysioBank, PhysioToolkit, and PhysioNet;goldberger;Components of a New Research Resource for Complex Physiologic Signals,2003

5. Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring;radek;Front Physiol,2018

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