Electrocardiogram Signal Analysis for Diagnosis of Congestive Heart Failure

Abstract

Congestive heart failure (CHF) refers to building up of fluid surrounding the heart causing the pump inefficiently. In various ways attempts are taken to diagnosis such disease; electrocardiogram is one of them. Here electrocardiogram (ECG) signal analysis has been done for diagnosis of congestive heart failure. ECG signal have been collected from normal healthy person as well as patients suffering from congestive heart failure (CHF). As the signals are non-stationary in nature and collected in discrete manner, discrete wavelet transformation (DWT) has been applied on those collected signals. Approximate coefficients have been determined at different decomposition levels and have been assessed by their skewness values (SA). Comparative study has been made on SA for healthy person and CHF patient. Significant difference has been observed at certain DWT levels. Also radar and histogram based comparative assessment have been performed to easily distinguish ECG signals having CHF. The outcome of the work may be useful for diagnosis of such disease.