CNN-based Two Step R Peak Detection Method: Combining Segmentation and Regression-Reference-Cited by-同舟云学术

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CNN-based Two Step R Peak Detection Method: Combining Segmentation and Regression

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

Jang Jaeseong¹,Park Seongjae¹,Kim Jin-Kook¹,An Junho¹,Jung Sunghoon¹

Affiliation:

1. HUINNO Co., Ltd.,Seoul,The Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871227.pdf?arnumber=9871227

Reference10 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

2. Revisiting QRS Detection Methodologies for Portable, Wearable, Battery-Operated, and Wireless ECG Systems

3. NeuroKit2: A Python toolbox for neurophysiological signal processing

4. DENS-ECG: A deep learning approach for ECG signal delineation

5. U-Net Architecture for the Automatic Detection and Delineation of the Electrocardiogram

Cited by 2 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. A Deep Learning-Based Automated Framework for Subpeak Designation on Intracranial Pressure Signals;Sensors;2023-09-12

2. R PEAK DETERMINATION USING A WDFR ALGORITHM AND ADAPTIVE THRESHOLD;Applied Computer Science;2022-09-30

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