ECG Signal Compression using Parallel and Cascade Method for QRS Complex

Objectives: In this paper we present, compression of QRS complex of ECG signal by hybrid technique. The methodology employs both cascade and parallel combination of DCT and DWT. Methods/Statistical Analysis: QRS complex is an important part of ECG signal used by doctors for diagnosis purpose. The transmission of QRS complex requires less memory and complexity as compared to the complete ECG signal.The methodology employs both cascade and parallel combination of DCT and DWT. The performance measures such as PRD (Percent Root mean square Difference) and CR (Compression Ratio) are used to validate the results. Findings: MIT-BIH ECG database is used for the study. The threshold based technique is implemented on both cascade and parallel system. The cascade technique shows improved CR and proved to be better than the parallel sytem in terms of storage and transmission. The lower value of PRD also demonstrates the improved quality of the reconstructed signal in the cascade and parallel system. Application/Improvements: The cascade system with a high CR requires less memory. Both the cascde and parallel system show good reconstruction quality with the low PRD.