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A novel VLSI implementation of lossless ECG data compression technique using intelligent Slope Predictor and Modified Huffman Coding

V. R. S. RAJESH KUMAR1,* , A. SIVANANTHA RAJA2

Affiliation

  1. Research Scholar, Anna University, Chennai, Tamilnadu, India
  2. Associate Professor of ECE, Alagappa Chettiar College of Engineering and Technology, Karaikudi, India

Abstract

In medical applications, many techniques have been proposed for lossless compression of ECG signals. However, due to more complex and less compression ratio, those techniques cannot be suited to transmit ECG signals. A novel VLSI implementation of lossless ECG data compression technique is proposed to save power, area and to get better compression ratio (CR). The proposed algorithm consists of an intelligent Slope Predictor (i-SP) algorithm for lossless ECG data compression, and with Modified Huffman Coding (MHC) for an entropy encoder. The i-SP algorithm segments the raw ECG data in both QRS and smooth sections. Then Modified Huffman Coding (MHC) encodes the predicted differences of ECG data. The VLSI architecture of the proposed technique contains 2.1k counts of logic gates, its synthesized area 24.6k𝜇𝑚2 and power 22.5𝜇𝑊 in 180nm CMOS technology. From arrhythmia database of the MIT-BIH, the proposed technique achieves a CR of 2.87. As compared with the existing lossless ECG data compression techniques, the proposed system achieves high CR, low area and less power consumption..

Keywords

ECG data compression, Intelligent slope predictor, Modified Huffman Coding.

Citation

V. R. S. RAJESH KUMAR, A. SIVANANTHA RAJA, A novel VLSI implementation of lossless ECG data compression technique using intelligent Slope Predictor and Modified Huffman Coding, Optoelectronics and Advanced Materials - Rapid Communications, 9, 5-6, May-June 2015, pp.873-879 (2015).

Submitted at: May 1, 2015

Accepted at: May 7, 2015