SynthECG: Python Framework and ECG Image Datasets for Digitization, Lead Detection, and Waveform Segmentation.
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| Title: | SynthECG: Python Framework and ECG Image Datasets for Digitization, Lead Detection, and Waveform Segmentation. |
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| Authors: | Rahimi, Masoud1 (AUTHOR), Karbasi, Reza1 (AUTHOR), Vahabie, Abdol-Hossein1 (AUTHOR) h.vahabie@ut.ac.ir |
| Source: | Journal of Medical Signals & Sensors. Mar2026, Vol. 16 Issue 3, p1-9. 9p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.4103/jmss.jmss_58_25 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1 Titles: – TitleFull: SynthECG: Python Framework and ECG Image Datasets for Digitization, Lead Detection, and Waveform Segmentation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rahimi, Masoud – PersonEntity: Name: NameFull: Karbasi, Reza – PersonEntity: Name: NameFull: Vahabie, Abdol-Hossein IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22287477 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: Journal of Medical Signals & Sensors Type: main |
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