A lossless ECG data compression technique using ASCII character encoding

  • Authors:
  • S. K. Mukhopadhyay;S. Mitra;M. Mitra

  • Affiliations:
  • Department of Applied Physics, Faculty of Technology, University of Calcutta, 92 APC Road, Kolkata 700 009, India;Department of Electronics, Netaji Nagar Day College (affiliated to University of Calcutta), 170/436, NSC Bose Road, Regent Estate, Kolkata 700 092, India;Department of Applied Physics, Faculty of Technology, University of Calcutta, 92 APC Road, Kolkata 700 009, India

  • Venue:
  • Computers and Electrical Engineering
  • Year:
  • 2011

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Abstract

A software based lossless ECG compression algorithm is developed here. The algorithm is written in the C-platform. The algorithm has applied to various ECG data of all the 12 leads taken from PTB diagnostic ECG database (PTB-DB). Here, a difference array has been generated from the corresponding input ECG data and this is multiplied by a large number to convert the number of arrays into integers. Then those integers are grouped in both forward and reverse direction, out of which few are treated differently. Grouping has been done in such a way that every grouped number resides under valid ASCII value. Then all the grouped numbers along with sign bit and other necessary information are converted into their corresponding ASCII characters. The reconstruction algorithm has also been developed in using the reversed logic and it has been observed that data is reconstructed with almost negligible difference as compared with the original (PRD 0.023%).