Why the study?
ECG analysis is central to detecting and preventing potentially fatal cardiac events, warranting a comprehensive analysis of real-time processing techniques, algorithms, and computational challenges.
Design
Review article
Key result
Real-time ECG signal processing techniques, encompassing denoising, feature extraction, and classification, can be effectively implemented on FPGA hardware to achieve high accuracy and efficiency.
Authors
Loading...
Supports FPGA ECG acceleration; leaves open prospective clinical validation before routine adoption.
This review provides a comprehensive overview of real-time ECG signal processing techniques, which are essential for automated cardiac event detection and analysis.
Rasha Waleed (2024) conducted a review in Cardiac conditions and arrhythmias. Real-time ECG signal processing techniques was evaluated. Real-time ECG signal processing techniques, encompassing denoising, feature extraction, and classification, can be effectively implemented on FPGA hardware to achieve high accuracy and efficiency.