ECG compression using Compressed Sensing with Lempel-Ziv-Welch Technique

To store a acquired ECG data huge space is required even if the ECG signal is sampled at lower rate. The relevance of telecardiology is more pronounced in contemporary times for diagnosing heart abnormalities by analyzing ECG signal. Transmission of such huge data for medical purpose is not possible without compression and also it will required more energy for wireless transmission for large amount of data. In this paper ECG compression technique has been proposed by Compressed Sensing with loss less compression Lempel-Ziv-Welch(LZW) Technique. The proposed work has been validated on 9 standard MIT data bases and found that the proposed method is giving better results in terms of Compression ratio(CR) and Percent root-mean square difference(PRD). Further to show the effectiveness of the proposed work a comparison is also made with other existing published techniques.