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Fast QRS Detection with an Optimized Knowledge-Based Method: Evaluation on 11 Standard ECG Databases

The current state-of-the-art in automatic QRS detection methods show high robustness and almost negligible error rates. In return, the methods are usually based on machine-learning approaches that require sufficient computational resources. However, simple-fast methods can also achieve high detectio...

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Hlavní autor: Elgendi, Mohamed
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2013
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3774726/
https://ncbi.nlm.nih.gov/pubmed/24066054
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0073557
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