A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning Algorithms

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-01-14
DOI
https://doi.org/10.3390/diagnostics16020262
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning Algorithms

В. П. Седов, N. Ya. Kuznetsova, Z. Z.A. Fashafsha, A. Suvorov et al.
Diagnostics
ECG Monitoring and Analysis
article

A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning Algorithms

В. П. Седов, N. Ya. Kuznetsova, Z. Z.A. Fashafsha, A. Suvorov, D. F. Mesitskaya, Philippe Kopylov, Д Ю Щекочихин, Dmitrii Podgalo, Daria Gognieva, Petr Chomakhidze
article en

Abstract

No abstract available for this paper.
DiagnosticsVol. 16(2)
Sechenov University (RU), Research Institute of Emergency Care (RU), City Clinical Hospital (RU)
Openalex Percentile: Top 89%
ECG Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.