ECG Compression using Decomposed Transform for E-Healthcare

Abstract

Ahstract-E- Healthcare in this digital world supports patients as well as physicians that satisfy smart healthcare services. However, data exchange and storage aremajor challenges in this scenario. It needs to compress data for effective communication. In this work, the authors have taken an approach to compress the cardiac signal for effective communication. The data is collected from the Physionet database (Records no. 100 and 202) for experimentation. Also, to verify the proposed method the data from Mendeley Database is considered and tested for both the ECG signals(Record no. 202). Initially, the collected data is preprocessed with the SavitzkyGolay filter to eliminate the noise and to smoothen the signal. In one step the signal is decomposed with Empirical Mode Decomposition (EMD) to find out the useful components. Further, the decomposed signals are compressed with DCT which is coded with the said Huffman coding method. The method proved to be efficient and is explained in the result section along with a comparison The proposed technique is suitable for the application and has been verified for e-healthcare systems.