ECG Modeling with DFG

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2005Publisher:IEEEJournal:2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

Authors: Zheying, Li; Minjie, Ma;

doi: 10.1109/iembs.2005.1617025

pmid: 17282794

ECG Modeling with DFG

- Summary
- Metrics

Abstract

ECG signals model described by data flow graph (DFG) is addressed in this paper. The model is built on the time processing. The principle of DFG modeling method for ECG signal is based on the idea of ECG time interval. According to the data processing flow, the each wave could be considered as a piece of ECG signal and the pieces could be processed in time sequence. According to the model, the time characters and parameters could be processed by the algorithm. And the model is also useful for the design of ECG signal generator.

Related Organizations

Beijing Jiaotong University
China (People's Republic of)
Beijing Union University
China (People's Republic of)
Beijing Union University
China (People's Republic of)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average