Extraction of FECG from Non-Invasive AECG signal for Fetal Heart Rate Calculation
Keywords:
ECG, Non-Invasive monitoring, Maternal ECG, Pre-processingAbstract
A Non-Invasive Fetal Electrocardiogram (FECG) is an effective diagnostic tool for determining health status of the fetus. Abdominal Electrocardiogram (AECG) is a composite ECG signal that consist of both fetal as well as maternal ECG (MECG). This paper presents an efficient technique to extract the FECG signal from AECG by means of different Time – Frequency localized transforms and algorithms. A combination of Band Pass Filter , Hilbert Transform and Adaptive Thresholding algorithm has been used for detecting FECG QRS complexes. Further an enhancement of FECG signal is done using Wavelet De-noising and Fetal Heart Rate (FHR) is calculated. This algorithm is performed using MATLAB simulation software and tested on 5 non-invasively recorded abdominal and direct FECG signals taken from MIT Physionet database.
References
M. Manikandan, Jayasubha RY, S. Krishna Kumar,“ Fetal Heart Monitoring From Maternal ECG”, International Journal Of Scientific and Technology Research Vol.5, Issue.3, pp.164-166, 2016.
Shimrit Yaniv Salem,Gershon Holcberg, Amir B. Geva,Sergey Vaisman, “Passive fetal monitoring by adaptive wavelet denoising method”, Computers in biology and medicine, Vol.42, Issue.2, pp.171–179, 2012.
Mbachu, C.B, Arinze, A.W, “A Finite Impulse Response (Fir) Adaptive Filtering Technique for the Monitoring Of Foetal Health and Condition”, American Journal of Engineering Research (AJER), Volume-3, Issue-10, pp-68-74, 2014.
Sreedharamurthy S K , H.R.Sudarshana Reddy, "Feature Subset Selection Using Genetic Algorithms for Handwritten Kannada Alphabets Recognition", International Journal of Computer Sciences and Engineering, Vol.3, Issue.6, pp.94-99, 2015.
Manuel Blanco-Velasco , Binwei Weng , Kenneth E. Barner, “ECG signal denoising and baseline wander correction based on the empirical mode decomposition”, Computers in Biology and Medicine, Vol.38, Issue.1, pp.1-13, 2008.
Pallas R.A., “Interference-Rejection Characteristics of Biopotential Amplifiers: A Comparative Analysis”, IEEE Transaction on Biomedical Engineering, Vol.35, Issue.11, pp.953-9, 1988.
Spinelli E., Mayosky M., Pallas R.A., “A practical approach to electrode skin impedance unbalance measurement”, IEEE Transaction on Biomedical Engineering, Vol.53, Issue.7, pp.1451-1453, 2006.
Manpreet Kaur, Birmohan Singh, “Comparisons of Different Approaches for Removal of Baseline Wander from ECG Signal”, 2nd International Conference and workshop on Emerging Trends in Technology (ICWET), India, pp.1290-1294, 2011.
R. Panda, “Removal of Artifacts from Electrocardiogram using Digital Filter”, Electrical, Electronics and Computer Science (SCEECS), IEEE Students Conference, India, pp.1-4, 2012.
R. Limacher, “Removal of Power Line Interference from the ECG Signal by an Adaptive Digital Filter”, in Proc. of European Tel. Conf., Garmisch-Part, USA, pp.300-309, 1996.
Gizeaddis Lamesgin, Yonas Kassaw, and Dawit Assefa, “Extraction of Fetal ECG from Abdominal ECG and Heart Rate Variability Analysis”, Springer International Publishing, Switzerland, pp.65-76, 2015.
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