Work

Tendencies of Unsupervised Learning on ECG Signals

Year: 2024

Type: conference-paper

Source: IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

DOI: 10.1109/sibircon63777.2024.10758543

Authors: Pavel Kulemin, Yulia Preobrazhenskaya, Iana Sereda, Lev Smirnov

Institution: N. I. Lobachevsky State University of Nizhny Novgorod

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4404740251

FWCI:

Cites: 11

Cited by:

Related to: 10