Detection and Identification of Lbbb and Rbbb Rhythms in Ecg Waves Using Gabor Transform Analysis

ABSTRACT -Automated analysis of ECG signals has evolved over a period of time to provide very sophisticated system analysis and interpretations. As the demand in the medical field is moving towards fully automated and intelligent systems, better technology and methods are required to interpret the abnormalities of body, especially of heart. Abnormal rhythms like LBBB and RBBB may not be life threatening but an early detection of these can avoid further complications. Here we present a signal processing approach to detect and identify L, R rhythms in ECG signals for early warning. Gabor transform technique is used for the analysis of the signal and the approach is capable of detecting the abnormality with sufficient accuracy.