Browse > Article

ECG Compression Structure Design Using of Multiple Wavelet Basis Functions  

Kim Tae-hyung (금오공과대학교 전자공학부)
Kwon Chang-Young (금오공과대학교 전자공학부)
Yoon Dong-Han (금오공과대학교 전자공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.9, no.3, 2005 , pp. 467-472 More about this Journal
Abstract
ECG signals are recorded for diagnostic purposes in many clinical situations. Also, In order to permit good clinical interpretation, data is needed at high resolutions and sampling rates. Therefore In this paper, we designed to compression structure using multiple wavelet basis function(SWBF) and compared to single wavelet basis function(SWBF) and discrete cosine transform(DCT). For experience objectivity, Simulation was performed using the arrhythmia data with sampling frequency 360Hz, resolution lIbit at MIT-BIH database. An estimate of performance estimate evaluate the reconstruction error. Consequently compression structure using MWBF has high performance result.
Keywords
Multiple Wavelet Basis Function(MWBF); Discrete Cosine Transform(DCT); Compression Rate(CR);
Citations & Related Records
연도 인용수 순위
  • Reference
1 Dwight F. Mix, Kraig J. Olejniczak, 'Elements of Wavelets for Engineers and Scientists', Wiley-Inter science, 2003
2 Meyer H., Rosdolsky H. G. and Huang T. S., 'Optimum run length codes', IEEE Trans. Commun., vol. 22, no. 6, pp. 826-835, 1974   DOI
3 Ziv J. and Lempel A., 'A universal algorithm for sequential data compression', IEEE Tran on Info, vol. 23, no. 66, pp. 337-343, 1987
4 MIT-BIH Arrythmia Database, Havard-MIT Div. Health Sci. Tech., Biomed. Eng. Ctr., Mass. Inst. Tech, Rm. 20A-113, Cambridge, MA
5 Welch T., 'A technique for high performance data compression', IEEE Computer, vol. 17, no.6, pp. 8-19, 1984
6 Raghuveer M. Rao and Ajit S. Bopardikar, 'WAVELET TRANSFORMS Introduction to Theory and Applications', Addison-Wesley, 1998
7 C. S. Burrus, 'Introduction to Wavelet and wave -let Transform' Prentice Hall, 1998