Effect of data segmentation and windowing on the differentiation of fibrillatory rhythms from nonfibrillatory rhythms using magnitude-squared coherence

Author

Vuong, Anh N. ; Saad, Ziad S. ; Roth, James A. ; Ropella, Kristina M.

Author_Institution

Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI, USA

Volume

1

fYear

1999

fDate

1999

Abstract

Magnitude-squared coherence (MSG) differentiates fibrillatory (FIB) rhythms from nonfibrillatory (NFIB) rhythms. Real-time implementation of MSC places constraints on data segmentation and spectral windowing. This research investigates the effects of data segmentation and spectral windowing on the ability of MSC to differentiate cardiac rhythms

Keywords

electrocardiography; medical signal processing; spectral analysis; ECG; cardiac rhythms; data segmentation effects; fibrillatory rhythms differentiation; magnitude-squared coherence; nonfibrillatory rhythms; real-time implementation; spectral windowing; Biomedical engineering; Data analysis; Educational institutions; Electrodes; Fast Fourier transforms; Frequency; Low pass filters; Rhythm; Sampling methods; Testing;

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.1999.802399

Filename

802399