Identification of Premature Ventricular Contraction (PVC) of Electrocardiogram using Statistical Tools and Non-Linear Analysis

Authors

  • Farhana Akter Mou

Keywords:

electrocardiogram (ECG), premature ventricular contraction (PVC), instantaneous heart rate (IHR), standard deviation(SD), central tendency measure (CT

Abstract

Non-linear analysis is a useful technique in a medical field specially in cardiac cases Statistics tools Non-linear parameters have shown potentiality to the identification of diseases especially in the analysis of biomedical signals like electrocardiogram ECG In this work premature ventricular contraction i e abnormality in ECG signals has been analysed using various non-linear techniques First the ECG signal is processed through a series of steps to extract the QRS complex From this extracted feature bit-to-bit interval BBI and instantaneous heart rate IHR have been calculated

How to Cite

Farhana Akter Mou. (2016). Identification of Premature Ventricular Contraction (PVC) of Electrocardiogram using Statistical Tools and Non-Linear Analysis. Global Journals of Research in Engineering, 16(F5), 55–69. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1481

Identification of Premature Ventricular Contraction (PVC) of Electrocardiogram using Statistical Tools and Non-Linear Analysis

Published

2016-03-15