Lightweight and Interpretable LSVM for Multi-Class ECG Arrhythmia Classification Using Multi-Database PhysioNet Signals

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Lightweight and Interpretable LSVM for Multi-Class ECG Arrhythmia Classification Using Multi-Database PhysioNet Signals
Συγγραφείς: Rehman, Syed Muhammad Abdul, Khan, Nadeem Ahmad, Altaf, Muhammad Awais Bin
Πηγή: 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS) Circuits and Systems (MWSCAS), 2026 IEEE 69th International Midwest Symposium on. :415-419 Aug, 2026
Relation: 2026 IEEE 69th International Midwest Symposium on Circuits and Systems (MWSCAS)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798319508652
9798319508669
ISSN:15583899
15483746
DOI:10.1109/MWSCAS67364.2026.11680721