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