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Details for article 42 of 78 found articles
| Title: |
Fetal ECG Extraction using Softcomputing Technique |
| Author: |
C. Kezi Selva Vijila M.E., P. Kanagasabapathy Stanley Johnson |
| Appeared in: |
Journal of applied sciences |
| Paging: | Volume 6 (2006) nr. 2 pages 251-256 |
| Year: |
2006 |
| Contents: |
The analysis of the fetal electrocardiogram could be a reliable method for diagnosing cardiac diseases, especially fetal arrhythmias and fetal asphyxia. During delivery, accurate recordings can be made by placing an electrode on the fetal scalp. However, during pregnancy other methods should be used due to the inaccessibility of the fetus. Ideally, the fECG recorded from the maternal abdomen is a highly desirable, noninvasive method. But, fECG signals have very low power relative to that of the maternal ECG (mECG) due to several sources of interference. The interference sources can be suppressed with adaptive filters using signal processing. But if the noise phase is same as the original signal then sometimes it also eliminates the desired signal. To avoid this, adaptive noise cancellation is used, which will not affect the desired signal. This study explains how adaptive noise cancellation can be used to extract the fetal ECG from the interference. Output is simulated using neural network and neuro-fuzzy logic techniques. In this study a comparison of noise cancellation using the above techniques is done. Real time analysis is under process. |
| Publisher: |
Asian Network for Scientific Information, Pakistan (provided by DOAJ) |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 42 of 78 found articles
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