ECG Feature Extraction Using LCAD

Electrocardiogram (ECG) is one of the commonly used tools to diagnose cardiac patients. Analysis of the ECG is extremely useful in the development of an intelligent diagnostic system. This paper illustrates an approach to analyze ECG and extract its features, useful for designing intelligent medical diagnostic system, using low-cost-access-cum-computing-device (LCAD). Significant features are extracted using LCAD. It deals with noise elimination, accurate detection of QRS complex and extraction of both time domain as well as frequency domain features from the ECG. MIT-BIH database was used to carry out experimental analysis and verification of algorithm. Tablet PC AAKASH is used as LCAD.