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Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals

Research article (2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016) · cited 31× · AI/ML
academia openalex:W2587500683
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Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals

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Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals is a scholarly article[1].

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  • Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-diagnosis-of-coronary-artery-disease-using-nonlinear-features-extracted-from-ecg-signals
MLA “Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-diagnosis-of-coronary-artery-disease-using-nonlinear-features-extracted-from-ecg-signals.
BibTeX @misc{4ortxyz_automated-diagnosis-of-coronary-artery-disease-using-nonlinear-features-extracted-from-ecg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated diagnosis of Coronary Artery Disease using nonlinear features extracted from ECG signals}}, year = {2026}, url = {https://4ort.xyz/entity/automated-diagnosis-of-coronary-artery-disease-using-nonlinear-features-extracted-from-ecg-signals}, note = {Accessed: 2026-05-24}}
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