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Design of an artificial neural network and feature extraction to identify arrhythmias from ECG

Research article (2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2017) · cited 18× · AI/ML
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Design of an artificial neural network and feature extraction to identify arrhythmias from ECG

Summary

Design of an artificial neural network and feature extraction to identify arrhythmias from ECG is a scholarly article[1].

Key Facts

  • Design of an artificial neural network and feature extraction to identify arrhythmias from ECG's instance of is recorded as scholarly article[2].

Related Entities

Octavian Postolache

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Design of an artificial neural network and feature extraction to identify arrhythmias from ECG. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-an-artificial-neural-network-and-feature-extraction-to-identify-arrhythmias-from-ecg
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BibTeX @misc{4ortxyz_design-of-an-artificial-neural-network-and-feature-extraction-to-identify-arrhythmias-from-ecg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of an artificial neural network and feature extraction to identify arrhythmias from ECG}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-an-artificial-neural-network-and-feature-extraction-to-identify-arrhythmias-from-ecg}, note = {Accessed: 2026-05-24}}
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