ECG Monitoring and PVC Detection Using Wavelet Transform

ECG (Electrocardiogram) monitoring is a widely-used medical diagnostic technique for tracking the electrical activity of the heart. PVC (Premature Ventricular Contraction) detection represents a specialized form of ECG analysis focused on identifying premature heartbeat occurrences. The detection algorithm typically involves analyzing QRS complex morphology and RR interval variations, often implemented through threshold-based classification or machine learning approaches. Wavelet transform serves as a powerful mathematical tool for processing ECG signals, enabling multi-resolution analysis for noise reduction and feature extraction. In practical implementations, discrete wavelet transforms (such as Daubechies wavelets) are commonly applied to decompose ECG signals into different frequency bands, facilitating accurate PVC identification through detailed coefficient analysis. Consequently, in modern ECG monitoring systems, PVC detection combined with wavelet transform constitutes essential methodologies for cardiac arrhythmia diagnosis and signal enhancement.