DocumentCode
2966256
Title
Spectrogram analysis of electrocardiogram with Normal Sinus Rhythm, Arrhythmia and Atrial Fibrillation
Author
Segismundo, M.J. ; Villanueva, M.M.F. ; Zaldua, A. ; Lee-Ramos, Catherine Manuela
Author_Institution
Dept. of Electron., Ateneo de Manila Univ., Quezon City, Philippines
fYear
2012
fDate
19-22 Nov. 2012
Firstpage
1
Lastpage
5
Abstract
This paper intends to identify a method to distinguish between ECG signals from the Normal Sinus Rhythm (NSR) database and those from the Arrhythmia database. It also attempts to distinguish between NSR and Atrial Fibrillation (Afib). The ECG samples were taken from the database of MIT-BIH. For the first experiment, three-second segments of the entire ECG signals of NSR and that of the P wave alone were analyzed using their power spectral density (PSD). These were then compared to the ECG and P wave of those with Arrhythmia. Spectrum of the P wave clearly differentiates NSR and Arrhythmia. NSR signals exhibit a band within the 10 Hz region while ECG with arrhythmia has a frequency band less than 10 Hz. Furthermore, the dominant frequencies of the NSR extend up to 10 Hz while that of an arrhythmic ECG has very low dominant frequencies. For the second experiment, NSR and Afib signals were cut into 10-second segments. The Afib signals contain annotation marking episodes of normal rhythm and atrial fibrillation. NSR signals show significant frequency content up to more than 30 Hz while majority of the normal rhythm episodes from Afib had significant spectral content concentrated around 4 Hz with lower spectral density than that of NSR.
Keywords
diseases; electrocardiography; medical disorders; medical signal processing; Afib signals; ECG samples; ECG signals; MIT-BIH database; NSR signals; annotation marking episodes; arrhythmia database; arrhythmia fibrillation; arrhythmic ECG; atrial fibrillation; frequency band; low dominant frequencies; low spectral density; normal rhythm episodes; normal sinus rhythm database; power spectral density; spectrogram analysis; three-second segments; Atrial fibrillation; Databases; Electrocardiography; Heart beat; Rhythm; Spectrogram; 2D and 3D spectrogram; arrhythmia; atrial fibrillation; normal sinus rhythym; p-wave segmentation; power spectral density;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2012 - 2012 IEEE Region 10 Conference
Conference_Location
Cebu
ISSN
2159-3442
Print_ISBN
978-1-4673-4823-2
Electronic_ISBN
2159-3442
Type
conf
DOI
10.1109/TENCON.2012.6412329
Filename
6412329
Link To Document