Simulation methods for the online extraction of ECG parameters under Matlab/Simulink

Area of Science:

• Biomedical Engineering
• Signal Processing
• Cardiology

Background:

• Accurate classification of cardiac pathologies from electrocardiogram (ECG) signals is crucial for patient diagnosis and treatment.
• Reliable extraction of characteristic ECG features is fundamental for effective algorithm performance.
• Existing simulation and testing methodologies may not fully address the complexities of ECG analysis.

Purpose of the Study:

• To develop and present a comprehensive simulation environment for evaluating ECG classification algorithms.
• To ensure algorithm performance evaluation complies with established ANSI/AAMI standards (EC38, EC57).
• To introduce novel testing methods for waveform boundary detection in ECG analysis.

Main Methods:

• Development of a simulation environment using Matlab/Simulink for ECG data processing.
• Implementation of performance evaluation protocols aligned with ANSI/AAMI EC38 and EC57 standards.
• Creation of proprietary testing methodologies for assessing waveform boundary detection accuracy.

Main Results:

• A functional simulation environment for ECG classification algorithm testing has been established.
• Algorithm performance evaluation was conducted, covering beat-to-beat analysis and episode marker comparison.
• The implemented testing methods demonstrated compliance with existing literature and industry standards.

Conclusions:

• The developed simulation environment provides a robust platform for validating ECG classification algorithms.
• Adherence to standards ensures the reliability and comparability of algorithm performance assessments.
• The introduced testing methods contribute to the advancement of ECG signal quality evaluation.