Using átuous Algorithm and Modulus Maximum Lines to Detect R-wave of ECG Signal

Area of Science:

• Biomedical Engineering
• Signal Processing
• Cardiology

Background:

• The R-wave in an electrocardiogram (ECG) signal signifies ventricular electrical activation and contraction.
• Accurate R-wave detection is crucial for various cardiac monitoring applications.

Purpose of the Study:

• To develop an effective and precise method for R-wave detection within the QRS complex of ECG signals.
• To enhance the speed and accuracy of R-wave detection for potential clinical applications.

Main Methods:

• Utilized an á tuous algorithm for signal decomposition and reconstruction without down/up sampling, improving orientation precision.
• Employed modulus maximum lines to significantly accelerate R-wave detection speed.
• Integrated these techniques for robust R-wave identification in ECG data.

Main Results:

• The proposed method demonstrated accurate orientation and real-time detection of the R-wave.
• The á tuous algorithm enhanced precision by avoiding sampling rate alterations.
• Modulus maximum lines contributed to a dramatic improvement in detection speed.

Conclusions:

• The developed R-wave detection technique is accurate and efficient.
• Its simplicity makes it suitable for real-time testing and clinical heart rate screening.
• This method offers a feasible solution for rapid cardiac assessment.