Design and Analysis of an Efficient Technique for Compression of ECG Signal
Om Prakash Yadav1, Vivek Chandra2, Pushpendra Singh3
1Om Prakash Yadav, Department of Electronics & Telecommunication Engineering, Chhatrapati Shivaji Institute of Technology, Durg (CG), India.
2Vivek Chandra, Department of Electrical & Electronics Engineering, Chhatrapati Shivaji Institute of Technology, Durg (CG), India.
3Pushpendra Singh, Department of Electronics & Telecommunication Engineering, Chhatrapati Shivaji Institute of Technology, Durg (CG), India.
Manuscript received on October 06, 2011. | Revised Manuscript received on October 22, 2011. | Manuscript published on November 05, 2011. | PP: 224-227 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0201101511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data compression is a common requirement for most of the computerized applications. There are number of data compression algorithms, which are dedicated to compress different data formats. Even for a single data type there are number of different compression algorithms, which use different approaches. This paper examines lossless data compression algorithms and compares their performance. A set of selected algorithms are examined and implemented to evaluate the performance in compressing text data. The paper is concluded by stating which algorithm performs well for ECG Signal.
Keywords: Data compression, Lossy and Lossless Compression, ECG, Compression Ratio, Compression factor, Compression time, PRD.