Work

Id: 4349750 Scalable Af Detection Using Cnns With Stockwell and Fourier Transforms: a Signal Processing Approach for Clinical and Consumer Ecgs

Year: 2025

Type: article

Abstract: Early detection of atrial fibrillation (AF) is critical for stroke prevention and risk reduction. While most convolutional neural networks (CNNs) are trained on raw time-series ECG signals, alternative signal processing approaches may improve model performance and generalizability.

Source: Heart Rhythm O2

DOI: 10.1016/j.hroo.2025.07.085

Authors: Ivan Nenadic Wood, Elan Shahrabani, Luiz Vasconcelos, Hakan Oral

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: gold

Estimated APC paid: $2,150

OpenAlex ID: W4413963598

FWCI:

Cites:

Cited by:

Related to: 10