Embedded QRS complex detection based on ECG signal strength and trend-Reference-Cited by-同舟云学术

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Embedded QRS complex detection based on ECG signal strength and trend

Published:2022-06 Issue: Volume:3 Page:100030
ISSN:2667-0992
Container-title:Biomedical Engineering Advances
language:en
Short-container-title:Biomedical Engineering Advances

Author:

Njike Kouekeu Landry Cabrel,Mohamadou Youssoufa^ORCID,Djeukam Arsene,Tueche Fabrice^ORCID,Tonka Merlin^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference29 articles.

1. S. Andreas, Esp32 floating-point performance, (https://blog.classycode.com/esp32-floating-point-performance-6e9f6f567a69). Accessed: May 10, 2020.

2. A simple algorithm for detection of QRS onset in single channel ecg signals;Benítez,2017

3. Electrocardiogram;Chen,2018

4. Fast QRS detection with an optimized knowledge-based method: evaluation on 11 standard ecg databases;Elgendi;PLoS ONE,2013

5. Diagnostic and prognostic value of ambulatory ECG (Holter) monitoring in patients with coronary heart disease: a review;Gibson;J. Thromb. Thrombolysis,2007

Cited by 1 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. Exploring the Feasibilities of Applying Min-Max Threshold Analysis with Machine Learning Techniques for Categorization of X-Wave in ECG Signal;2023 2nd International Conference on Edge Computing and Applications (ICECAA);2023-07-19

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