Recurrence plot features of ECG signals

Author

Mewett, David T. ; Reynolds, Karen J. ; Nazeran, Homer

Author_Institution

Sch. of Inf. & Eng., Flinders Univ. of South Australia, Bedford Park, SA, Australia

Volume

2

fYear

1999

fDate

36434

Abstract

Single beats from ECG recording were used to demonstrate how the nonlinear dynamical analysis method of recurrence plots can be used to qualitatively describe data. It is concluded that, for ECG examples, the characteristics of the signals that cause particular features of the recurrence plots are easily identified. However, features in recurrence plots obtained from other signals must have similar underlying causes. Recurrence plots may therefore reveal time-domain features of a signal that make it easier to describe

Keywords

electrocardiography; medical signal processing; time-domain analysis; ECG signals; electrodiagnostics; nonlinear dynamical analysis method; recurrence plot features; signal characteristics; signal time-domain features; single beats; Australia; Data engineering; Electrocardiography; Euclidean distance; Informatics; Noise figure; Shape; Signal analysis; Signal processing; Solids;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804067

Filename

804067