ECG is the most important biological signal for the diagnosis of cardiac diseases. In many cases,... more ECG is the most important biological signal for the diagnosis of cardiac diseases. In many cases, ECG monitoring devices generate a huge amount of data. Therefore, compression of ECG signal is an important objective of ECG signal processing for the purpose of efficient storage and transmission. In this paper, a wavelet PCA based ECG compression technique is proposed. Two statistical parameters Percent Root Mean Square Difference (PRD) and Compression Ratio (CR) are calculated to evaluate the performance of the proposed method. The database used for testing purpose is taken from MIT-BIH. The results show that the proposed compression technique provide good performance for different ECG signals considered from clinical point of view.
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Papers by Angaraj Das