Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images

Winograd Transform-Based Fast Detection of Heart Disease Using ECG Signals and Chest X-Ray Images

In resource-constrained environments, efficient feature extraction is crucial for applications in classification and prediction tasks. This study investigates a fast, DFT-based, one-dimensional Winograd Transform (WT) to extract convolution-based features from 1-D ECG signals. For two-dimensional (2...

Full description

Saved in:
Bibliographic Details
Main Authors: Rishabh Anand, Adyasha Rath, Prabodh Kumar Sahoo, Prince Jain, Ganapati Panda, Xinhong Wang, Haipeng Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Circular convolution
discrete Fourier Transform (DFT)
fast feature extraction
heart disease detection
Winograd Transform
Online Access:https://ieeexplore.ieee.org/document/10943175/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10943175/

Similar Items