Ensemble Empirical Mode Decomposition for Efficient R-Peak Detection in Electrocardiograms Acquired by Portable Sensors During Sport Activity-Reference-Cited by-同舟云学术

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Ensemble Empirical Mode Decomposition for Efficient R-Peak Detection in Electrocardiograms Acquired by Portable Sensors During Sport Activity

Published:2021-06-23 Issue: Volume: Page:
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Container-title:2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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Author:

Romagnoli Sofia,Marcantoni Ilaria,Campanella Katyana,Sbrollini Agnese,Morettini Micaela,Burattini Laura

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9478589/9478590/09478598.pdf?arnumber=9478598

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06

2. Wearable and Portable Devices for Acquisition of Cardiac Signals while Practicing Sport: A Scoping Review;Sensors;2023-03-22

3. An Efficient Electrocardiogram R-peak Detection Exploiting Ensemble Empirical Mode Decomposition and Hilbert Transform;2022 International Conference on Advanced Technologies for Communications (ATC);2022-10-20

4. Electromyography Parameter Variations with Electrocardiography Noise;Sensors;2022-08-09

5. Signal Processing for Athletic Cardiovascular Monitoring with Wearable Sensors: Fully Automatic Detection of Training Phases from Heart Rate Data;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

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