DocumentCode
2846834
Title
A novel model for abdominal electrocardiography of a pregnant woman
Author
Najafabadi, Farshid Soheili ; Zahedi, Edmond ; Ali, Mohd Alauddin Mohd
Author_Institution
Dept. of Electr., Electron. & Syst. Eng., University Kebangsaan Malaysia, Selangor, Malaysia
fYear
2005
fDate
5-7 Sept. 2005
Firstpage
64
Lastpage
68
Abstract
This paper formulizes the stationary abdominal electrocardiography (AECG) from pregnant woman as an instantaneous linear model. Then signal to noise ratio (SNR) parameters are defined based on the model and it supports toward evaluating the performance of different algorithm on extracting fetal electrocardiography (FECG). Quantification noise parameters are also considered in the model. This model is tailored for applying independent component analysis (ICA) to separate FECG and maternal ECG signal from AECG. Based on this model, signal to noise ratio (SNR) can be calculated for simulated signals. It is concluded that ICA works magnificent in order to extract FECG even in SNR = -200 dB using simulated data without quantification noise. It showed that the performance was drastically decreased in existence of quantification noise.
Keywords
electrocardiography; independent component analysis; medical signal processing; noise; obstetrics; physiological models; source separation; abdominal electrocardiography; fetal electrocardiography signal extraction; independent component analysis; instantaneous linear model; maternal ECG; pregnant woman; Abdomen; Data mining; Electrocardiography; Electromyography; Fetal heart rate; Independent component analysis; Monitoring; Pregnancy; Signal to noise ratio; Ultrasonic imaging; Analog to Digital Converter (ADC); Electromyography (EMG); Fetal Electrocardiogram (FECG); Independent Component Analysis (ICA);
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors and the International Conference on new Techniques in Pharmaceutical and Biomedical Research, 2005 Asian Conference on
Print_ISBN
0-7803-9370-8
Type
conf
DOI
10.1109/ASENSE.2005.1564507
Filename
1564507
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