Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images.

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Bibliographic Details
Title: Deep learning for the classification of atrial fibrillation using wavelet transform-based visual images.
Authors: Sun LC; School of Medicine, National Defense Medical Center, Taipei, 11490, Taiwan., Lee CC; Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, 10607, Taiwan., Ke HY; Division of Cardiovascular Surgery, Department of Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan., Wei CY; Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, 11490, Taiwan., Lin KF; School of Public Health, National Defense Medical Center, Taipei, 11490, Taiwan.; Medical Informatics Office, Tri-Service General Hospital, National Defense Medical Center, Taipei, 11490, Taiwan., Lin SS; Department of Computer Science and Information Engineering, Chinese Culture University, Taipei, 11114, Taiwan., Hsiu H; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, 10607, Taipei, Taiwan., Chen PN; Department of Biomedical Engineering, National Defense Medical Center, Taiwan, No.161, Sec.6, Minchiuan E. Rd., Neihu Dist, Taipei, 11490, Taiwan. g931310@gmail.com.
Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Jan 21; Vol. 22 (Suppl 5), pp. 349. Date of Electronic Publication: 2025 Jan 21.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1472-6947
DOI:10.1186/s12911-025-02872-5