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Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation
Research article (Physiological Measurement, 2018) · cited 61× · AI/ML
Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation
Summary
Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation is a scholarly article[1].
Key Facts
Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-single-lead-short-ecg-recordings-using-dense-convolutional-neural-networks-and-feature-based-post-processing-t
MLA“Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-single-lead-short-ecg-recordings-using-dense-convolutional-neural-networks-and-feature-based-post-processing-t.
BibTeX@misc{4ortxyz_analyzing-single-lead-short-ecg-recordings-using-dense-convolutional-neural-networks-and-feature-based-post-processing-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-single-lead-short-ecg-recordings-using-dense-convolutional-neural-networks-and-feature-based-post-processing-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing single-lead short ECG recordings using dense convolutional neural networks and feature-based post-processing to detect atrial fibrillation — https://4ort.xyz/entity/analyzing-single-lead-short-ecg-recordings-using-dense-convolutional-neural-networks-and-feature-based-post-processing-t (retrieved 2026-05-24)
