Raj, Jyotiranjan and Sahu, Ajit Kumar (2014) Fetal electrocardiogram extraction and analysis. BTech thesis.
Diagnosis of mother’s and child’s heart beat is very necessary during pregnancy and hence we use Fetal electrocardiogram (FECG) extraction for the same. The signal contains precise informations that can help doctors during pregnancy and labor. In this thesis, an easy-to use method has been implemented using adaptive noise canceller (ANC). Using the ANC, an effective algorithm has been proposed. The algorithm uses ANC, Least Mean Square (LMS) method and a Simulink model for the extraction of FECG. The FECG extraction method has been implemented using an algorithm implemented on MATLAB using Simulink models. The extracted FECG signal is a noise free signal. The QRS complex has been detected using another algorithm that counts the R-R peaks. The simulation result shows that heart rate of the FECG signal can be counted using the detection algorithm. This project evokes a complete model of the FECG extraction with the implementation of effective algorithms and adaptive filters and finally gives the heart rate of the FECG signal.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Electrocardiogram, Adaptive Noise Cancellation, Maternal Heart Beat, LMS Algorithm, QRS Complex, Peak Detection|
|Subjects:||Engineering and Technology > Electronics and Communication Engineering > Signal Processing|
|Divisions:||Engineering and Technology > Department of Electronics and Communication Engineering|
|Deposited By:||Hemanta Biswal|
|Deposited On:||12 Sep 2014 14:43|
|Last Modified:||12 Sep 2014 14:43|
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