Real-time premature ventricular contractions detection based on Redundant Discrete Wavelet Transform

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. Thi...

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Published inResearch on biomedical engineering Vol. 34; no. 3; pp. 187 - 197
Main Authors Arrais Junior, Ernano, Valentim, Ricardo Alexsandro de Medeiros, Brandão, Gláucio Bezerra
Format Journal Article
LanguageEnglish
Published Sociedade Brasileira de Engenharia Biomédica 01.09.2018
Subjects
ENGINEERING, BIOMEDICAL
Premature ventricular contraction
Electrocardiogram
Redundant Discrete Wavelet Transform
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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.
AbstractList 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.
Author Brandão, Gláucio Bezerra
Arrais Junior, Ernano
Valentim, Ricardo Alexsandro de Medeiros
AuthorAffiliation Rural Federal University of Semi-Arid
Universidade Federal do Rio Grande do Norte
AuthorAffiliation_xml – name: Rural Federal University of Semi-Arid
– name: Universidade Federal do Rio Grande do Norte
Author_xml – sequence: 1
  givenname: Ernano
  surname: Arrais Junior
  fullname: Arrais Junior, Ernano
  organization: Rural Federal University of Semi-Arid, Brazil
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  givenname: Ricardo Alexsandro de Medeiros
  surname: Valentim
  fullname: Valentim, Ricardo Alexsandro de Medeiros
  organization: Federal University of Rio Grande do Norte, Brazil
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  givenname: Gláucio Bezerra
  surname: Brandão
  fullname: Brandão, Gláucio Bezerra
  organization: Federal University of Rio Grande do Norte, Brazil
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Keywords Premature ventricular contraction
Electrocardiogram
Redundant Discrete Wavelet Transform
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Snippet Abstract Introduction Premature Ventricular Contraction (PVC) is among the most common types of ventricular cardiac arrhythmia. However, it only poses danger...
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Title Real-time premature ventricular contractions detection based on Redundant Discrete Wavelet Transform
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