A new PVC/SPB detection method* based on analytical spectra technique

被引:0
|
作者
Antsiperov, V. E. [1 ]
Bugaev, A. S. [1 ]
Zabrosaev, I. V. [2 ]
机构
[1] Russian Acad Sci, Kotelnikov Inst Radio Engn & Elect, Moscow, Russia
[2] Moscow Inst Phys & Technol, Dept Phys & Quantum Elect, Dolgoprudnyi, Russia
来源
2016 INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND SYSTEMS BIOLOGY (BSB) | 2016年
关键词
biomedical signals processing; ECG analysis; premature beats detection; computer aided diagnosis; analytical spectra;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
The report is devoted to research and development of new ECG processing methods, based on Multiscale Correlation Analysis approach, in particular, the development of new PVC (premature ventricular complexes) and SPB (supraventricular premature beats) detection method. It is shown that in case of ECG, where a signal has a form of repeated wave pulses, the instruments previously developed by the authors and called the analytical spectra technique are highly effective. Computational algorithm based on this technique accurately estimates the heart rate. Heart rate estimation allows for building premature beats detection algorithm. The report provides first results received in this direction. The results of PVC/SPB detection for long ECG recordings from standard MIT-BIH NSRDB and SADB are briefly summarized in the appropriate section and shortly characterized in the conclusions.
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页数:4
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