Comparing Binary Classification Results for Dangerous Ventricular Arrhythmias Using 2 and 4 Seconds Short ECG Signal Fragments

Authors: Manilo, Lyudmila A., Nemirko, Anatoly P., Evdakova, Ekaterina G., Tatarinova, Anna

Source: 2024 International Conference on Information Processes and Systems Development and Quality Assurance (IPS) Information Processes and Systems Development and Quality Assurance (IPS), 2024 International Conference on. :36-39 Mar, 2024

Relation: 2024 International Conference on Information Processes and Systems Development and Quality Assurance (IPS)

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)

ECG Database for Evaluating the Efficiency of Recognizing Dangerous Arrhythmias

Authors: Manilo, Liudmila A., Nemirko, Anatoly P., Evdakova, Ekaterina G., Tatarinova, Anna A.

Source: 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), 2021 IEEE Ural-Siberian Conference on. :120-123 May, 2021

Relation: 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB)