Real-time premature ventricular contractions detection based on Redundant Discrete Wavelet Transform
Res. Biomed. Eng. (Online)
;
34(3): 187-197, July.-Sept. 2018. tab, graf
Article
in English
| LILACS
| ID: biblio-984957
ABSTRACT
Abstract Introduction 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. Methods 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. Results 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. Conclusion The proposed system exhibits reliable PVC detection, with real-time approach, and a simple algorithmic structure that can be implemented in many platforms.
Full text:
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Index:
LILACS (Americas)
Type of study:
Diagnostic study
/
Prognostic study
Language:
English
Journal:
Res. Biomed. Eng. (Online)
Journal subject:
Engenharia Biomdica
Year:
2018
Type:
Article
Affiliation country:
Brazil
Institution/Affiliation country:
Federal University of Rio Grande do Norte/BR
/
Rural Federal University of Semi-Arid/BR
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