Title :
The Electrocardiogram Classification Research on Electrocardiogram RR Interval Variation
Author_Institution :
Sch. of Inf. & Electron. Eng., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
Abstract :
QRS complex wave segment of electrocardiogram (ECG) beat reflects the electrical activity of the heart. The RR interval is always be used in the arrhythmia classification. In this paper, we use statistical histogram method to analysis RR interval features in depth. From all of RR interval statistical result, RR interval is a very important and basic ECG beat classification feature. However merely considering RR interval, there is no obvious classification boundary between premature ventricular contract (PVC) and normal beat, other features should be introduced.
Keywords :
electrocardiography; medical signal processing; statistical analysis; ECG beat classification feature; QRS complex wave segment; electrocardiogram RR interval variation; electrocardiogram classification; premature ventricular contract; statistical histogram method; Clinical diagnosis; Computational intelligence; Contracts; Electrocardiography; Fluctuations; Heart beat; Heart rate variability; Histograms; Rhythm; Spatial databases; Biosignal processing; RR interval; electrocardiogram classification;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.270