Morphology-keyed secure representation learning for privacy-preserving ECG arrhythmia classification and signal recovery.
Saved in:
| Title: | Morphology-keyed secure representation learning for privacy-preserving ECG arrhythmia classification and signal recovery. |
|---|---|
| Authors: | Sumathi S; Department of Electronics and Communication Engineering, Velammal Engineering College, Chennai, 600066, India. sumathisecevec@gmail.com., Santhia RK; Department of Computer Science, Pondicherry University, Puducherry, 605014, India., Vijila SA; Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, 627012, India., Manoharan JS; Department of Biomedical Engineering, Jerusalem College of Engineering, Chennai, 600100, India. |
| Source: | Scientific reports [Sci Rep] 2026 Jul 12. Date of Electronic Publication: 2026 Jul 12. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
|---|---|
| DOI: | 10.1038/s41598-026-60631-6 |
