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Research on Biomedical Engineering

versión impresa ISSN 2446-4732versión On-line ISSN 2446-4740


ARRAIS JUNIOR, Ernano; VALENTIM, Ricardo Alexsandro de Medeiros  y  BRANDAO, Gláucio Bezerra. Real-time premature ventricular contractions detection based on Redundant Discrete Wavelet Transform. Res. Biomed. Eng. [online]. 2018, vol.34, n.3, pp.187-197.  Epub 26-Jul-2018. ISSN 2446-4740.


Premature Ventricular Contraction (PVC) is among the most common types of ventricular cardiac arrhythmia. However, it only poses danger if the person suffers from a heart disease, such as heart failure. Hence, this is an important factor to consider in heart disease people. This paper presents an ECG real-time analysis system for PVC detection.


This system is based on threshold adaptive methods and Redundant Discrete Wavelet Transform (RDWT), with a real-time approach. This analysis is based on wavelet coefficients energy for PVC detection. It is presented also a study to find the most indicated wavelet mother for ECG analysis application among the following wavelet families: Daubechies, Coiflets and Symlets. The system detection performance was validated on the MIT-BIH Arrhythmia Database.


The best results were verified with db2 wavelet mother: the Sensitivity Se = 99.18%, Positive Predictive Value P+ = 99.15% and Specificity Sp = 99.94%, on 80.872 annotated beats, and 61.2 s processing speed for a half-hour record.


The proposed system exhibits reliable PVC detection, with real-time approach, and a simple algorithmic structure that can be implemented in many platforms.

Palabras clave : Electrocardiogram; Premature ventricular contraction; Redundant Discrete Wavelet Transform.

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