DocumentCode :
3360642
Title :
ECG signal processing using Wigner function
Author :
Branzila, Marius ; David, Valeriu ; Padole, C.
Author_Institution :
Electr. Meas. & Mater., Gheorghe Asachi Tech. Univ. of Iasi, Iasi, Romania
fYear :
2012
fDate :
25-27 Oct. 2012
Firstpage :
601
Lastpage :
604
Abstract :
This paper presents a virtual instrument for biosignal systems monitoring. Due to various artifacts, ECG signal acquired by data acquisition systems may contain high level of noise. These conditions, in real life situations, may vary from no noise to extreme amount of noise corrupting the biosignals. Thus, ideal ECG signal processing systems must consider various levels of noise and should have a technique to deal with wide range of noisy situations. In this paper, we will present a method that works well with different signal to noise ratios ranging from -3 dB to 20 dB.
Keywords :
Wigner distribution; data acquisition; electrocardiography; medical signal processing; patient monitoring; signal denoising; virtual instrumentation; ECG signal acquisition; ECG signal processing; Wigner function; artifacts; biosignal systems monitoring; data acquisition systems; noise; noisy situations; real life situations; virtual instrument; Electrocardiography; Instruments; Monitoring; Signal to noise ratio; Time frequency analysis; ECG signal; LabVIEW; noise removing; virtual instrument;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-1173-1
Type :
conf
DOI :
10.1109/ICEPE.2012.6463868
Filename :
6463868
Link To Document :
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