Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection

Research article (IEEE Sensors Journal, 2022) · cited 20× · AI/ML
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Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection

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Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/topological-data-analysis-approach-to-extract-the-persistent-homology-features-of-ballistocardiogram-signal-in-unobstruc
MLA “Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/topological-data-analysis-approach-to-extract-the-persistent-homology-features-of-ballistocardiogram-signal-in-unobstruc.
BibTeX @misc{4ortxyz_topological-data-analysis-approach-to-extract-the-persistent-homology-features-of-ballistocardiogram-signal-in-unobstruc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Topological Data Analysis Approach to Extract the Persistent Homology Features of Ballistocardiogram Signal in Unobstructive Atrial Fibrillation Detection}}, year = {2026}, url = {https://4ort.xyz/entity/topological-data-analysis-approach-to-extract-the-persistent-homology-features-of-ballistocardiogram-signal-in-unobstruc}, note = {Accessed: 2026-05-24}}
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