Extraction of FECG from Non-Invasive AECG signal for Fetal Heart Rate Calculation

Authors

  • A. Gaikwad Dept. of Electrical Engineering, VJTI, Mumbai, India
  • M.S. Panse Dept. of Electrical Engineering, VJTI, Mumbai, India

Keywords:

ECG, Non-Invasive monitoring, Maternal ECG, FHR

Abstract

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 consists 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, RY. Jayasubha, S.K. Kumar, “Fetal Heart Monitoring From Maternal ECG”, International Journal Of Scientific & Technology Research, Vol.5, Issue.3, pp.164-166, 2016.

K. Selvi, “Identify Heart Diseases Using Data Mining Techniques: an Overview”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.11, pp.180-187, 2015.

BC. Mbachu, AW. Arinze, “A Finite Impulse Response (Fir) Adaptive Filtering Technique for the Monitoring Of Foetal Health and Condition”, American Journal of Engineering Research (AJER), Vol.3, Issue.10, pp.68-74. 2015.

P. Kumar, SK. Sharma, S. Prasad, “CAD for the Detection of Fetal Electrocardiogram through Neuro-Fuzzy logic and Wavelets Systems for Telemetry”, Second International Conference on Computational Intelligence & Communication Technology, India, pp.587-590, 2016.

Manuel Blanco-Velasco , Binwei Weng , KE. 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.

RA. Pallas, “Interference-Rejection Characteristics of Biopotential Amplifiers: A Comparative Analysis”, IEEE Transaction on Biomedical Engineering, Vol.35, Issue.11, pp.953-959, 1988.

EM. Spinelli, MA. Mayosky, R. Pallás-Areny, “A practical approach to electrode-skin impedance unbalance measurement”, IEEE transactions on biomedical engineering, Vol.53, Issue.7, pp.1451-1453, 2006.

Manpreet Kaur, Birmohan Singh, Seema, “Comparisons of Different Approaches for Removal of Baseline Wander from ECG Signal”, International Conference and workshop on Emerging Trends in Technology, Mumbai, pp.1290-1294, 2011.

R. Panda, “Removal of Artifacts from Electrocardiogram using Digital Filter”, IEEE Students Conference Electrical Electronics and Computer Science (SCEECS), Bhopal , pp.1-4, 2012.

R. Limacher, “Removal of Power Line Interference from the ECG Signal by an Adaptive Digital Filter”, Proceding of European Telecommunication Conference, Garmisch, pp.300-309, 1996.

Gizeaddis Lamesgin, Yonas Kassaw, 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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Published

2017-05-30

How to Cite

[1]
A. Gaikwad and M. Panse, “Extraction of FECG from Non-Invasive AECG signal for Fetal Heart Rate Calculation”, Int. J. Sci. Res. Net. Sec. Comm., vol. 5, no. 2, pp. 16–19, May 2017.

Issue

Section

Research Article

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