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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Najafabadi, F.S. Zahedi, E. Ali, M.A.M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr., Electron. & Syst. Eng., University Kebangsaan Malaysia, Selangor, Malaysia (Najafabadi, F.S.; Zahedi, E.; Ali, M.A.M.) |
| 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. |
| Starting Page | 64 |
| Ending Page | 68 |
| File Size | 1831074 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780393708 |
| DOI | 10.1109/ASENSE.2005.1564507 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-05 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fetal heart rate Electromyography (EMG) Independent component analysis Independent Component Analysis (ICA) Analog to Digital Converter (ADC) Data mining Abdomen Pregnancy Ultrasonic imaging Fetal Electrocardiogram (FECG) Electrocardiography Electromyography Monitoring Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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