ECG database of short fragments with arrhythmias classification according to the degree of danger to the patient’s life

Bibliographic Details
Title: ECG database of short fragments with arrhythmias classification according to the degree of danger to the patient’s life
Authors: Manilo, Liudmila A., Nemirko, Anatoly P., Evdakova, Ekaterina G., Tatarinova, Anna A., Alekseev, Boris E.
Source: 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Engineering, Computer and Information Sciences (SIBIRCON), 2022 IEEE International Multi-Conference on. :510-513 Nov, 2022
Relation: 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
Database: IEEE Xplore Digital Library