Transform Based ECG Data Compression
Hemlata Shakya1, A. K. Wadhwani2
1Hemlata Shakya, Perusing ME Department of Electrical Engineering, Madhav Institute of Technology and Science Gwalior.
2Dr. A. K. Wadhwani, Department of Electrical Engineering, Madhav Institute of Technology and Science Gwalior.
Manuscript received on March 02, 2012. | Revised Manuscript received on March 31, 2012. | Manuscript published on April 30, 2012. | PP: 261-263 | Volume-1 Issue-4, April 2012 | Retrieval Number: D0350041412/2012©BEIESP
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© The Authors. 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: Electrocardiogram (ECG) is widely used in the diagnosis and treatment of cardiac disease. The data needs to be stored and transmitted, so it is necessary to compress the ECG signal data in efficient way. ECG compression methods can be classified into three categories: Direct method, Parameter extraction method & Transform method. In this paper a comparative study of transform. ECG compression allows real time transmission over telephone networks, economic off-line transmission to remote interpretation sites, improve Holter monitor system and enables efficient ECG rhythm analysis algorithms. Wavelet compression technique was found to be optimal in terms of compression.
Keywords: ECG, Compression, DWT, DST, CR and PRD.