| dc.description.abstract | Congenital heart defects are the most popular type of birth defect. Many
measuring and diagnosing methods have been developing. The most promising tool is
fetal electrocardiogram (fECG) which express the activity of the infants’ hearts, including
the unborn. Plenty of recording as well as processing techniques have been developing
throughout this field, but there are many remaining limitations since the low signal-tonoise
ratio (SNR) of the desired signal.
In this thesis work, I conducted different procedures in order to achieve good
quality of fECG from abdominal ECG. My work focused on designing and implementing
device for fECG measuring at abdominal site using a simple and user-friendly platform
of Arduino and the ADS1293 of Texas Instrument as the recording IC and analog filters,
as well as on eliminating noises and extracting fECG using digital and analog filters
along with some separating algorithms designed on MATLAB in order to remove the
baseline wander, power-line interference, respiratory and muscle activities noise and
inorder to extract the desired components of the fECG.
All results were observed by normal eyes. Most of the noise can be eliminated
when tested with normal ECG signal, both on real subjects and simulator. However, the
reliability and effectiveness of the device and the separating algorithm need more effort
to be properly evaluated.
Keyword: Fetal Electrocardiogram, ADS1293, Independent Component Analysis | en_US |
