The Fetal Electrocardiogram (FECG) signal reflects the electrical activity of the fetal heart. It contains information about the health status of the Fetus and therefore, an early diagnosis of any cardiac defects before delivery increases the effectiveness of the appropriate treatment. This paper proposes the use of Adaptive Neuro Fuzzy Inference Systems (ANFIS) for Fetal Electrocardiogram (FECG) extraction from two ECG signals recorded at the Thoracic and Abdominal areas of the mother’s skin. Wavelet transform is performed on ANFIS output to extract pure FECG with high Signal to Noise Ratio (SNR) and low error rate. The effectiveness of this technique is underlined in this paper.
Dastidar, Ananya and Panigrahy, Damodar
"EXTRACTION, NOISE CANCELLATION AND MONITORING OF FETAL ELECTROCADIOGRAM,"
International Journal of Electronics and Electical Engineering: Vol. 3:
4, Article 15.
Available at: https://www.interscience.in/ijeee/vol3/iss4/15