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 :
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