Yin-jing GUO1, Qian Cao1, Peng Gao1, Zhi-xin Cheng1, Wei Xia2
1 . School of information and electrical engineeringShandong University of Science and Technology Qingdao, China;2 . Shandong Fengyuan Coal Industry & Electric Power CO.,LTDZaozhuang, China
Abstract—In this paper a kind of ECG signal automatic segmentation algorithm based on ECG fractal dimension trajectory is put forward. First, the ECG signal will be analyzed, then constructing the fractal dimension trajectory of ECG signal according to the fractal dimension trajectory constructing algorithm , finally, obtaining ECG signal feature points and ECG automatic segmentation will be realized by the feature of ECG signal fractal dimension trajectory and the feature of ECG frequency domain characteristics. Through Matlab simulation of the algorithm, the results showed that by constructing the ECG fractal dimension trajectory enables ECG location of each component displayed clearly and obtains high success rate of sub-ECG, providing a basis to identify the various components of ECG signal accurately.
Keywords—ECG; fractal theory; fractal dimension trajectory; automatic segmentation
Manuscript Number: 1674-8042(2010)supp.-0139-04
dio: 10.3969/j.issn1674-8042.2010.supp..38
References
[1]Jiang Deyu,Liu Guangyuan,Long Zhengji. Feature Extraction and Recognition Based on the ECG P - QRS - T Wave [J]. Computer Engineering and Applications,2009-08.
[2]Hamid K and Dana H. B.Feature-Based Segmentation of ECG Signals,1996.
[3]Kadhim K.N, Taha S.M.R, Mahmoud W.A.A new method for filtering and segmentation of the ECG signal,2006-04-10K. Elissa, “Title of paper if known,” unpublished.
[4]Wang Jianjian, Li Zheying. An ECG Segmentation Model Used for Signal Generator, ICICIC,2007.
[5]Sayadi O, Shamsollahi M B. A model-based Bayesian framework for ECG beat segmentation Physiological measurement,2009-01-04,30(3):335-52.
[6]Frénay B, de Lannoy G and Verleysen. M. Emission Modelling for Supervised ECG Segmentation using Finite Differences,2009-02-04.
[7]Ieffrey PM, David SG, Basil AE, et al. Supine low frequencypower of heart rate variability reflects baroreflex function,notcardiac sympathetic innervation[J] ,Heart Rhythm,2007-04-12 :1523-1529.
[8] Sun Yunda, Zhao Yao, Yuan Baozong. A general framework model for fractal coders. IEEE trans. On Image Process,2005.
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