CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

Fetal Electrocardiography and Web based Out-of-Hospital Monitoring System

by Noor Abdul Khaliq, Salih Mahdy Al-qaraawi, Muayad Sadik Croock
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 3
Year of Publication: 2014
Authors: Noor Abdul Khaliq, Salih Mahdy Al-qaraawi, Muayad Sadik Croock
10.5120/16198-5468

Noor Abdul Khaliq, Salih Mahdy Al-qaraawi, Muayad Sadik Croock . Fetal Electrocardiography and Web based Out-of-Hospital Monitoring System. International Journal of Computer Applications. 93, 3 ( May 2014), 36-41. DOI=10.5120/16198-5468

@article{ 10.5120/16198-5468,
author = { Noor Abdul Khaliq, Salih Mahdy Al-qaraawi, Muayad Sadik Croock },
title = { Fetal Electrocardiography and Web based Out-of-Hospital Monitoring System },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 3 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number3/16198-5468/ },
doi = { 10.5120/16198-5468 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:53.822569+05:30
%A Noor Abdul Khaliq
%A Salih Mahdy Al-qaraawi
%A Muayad Sadik Croock
%T Fetal Electrocardiography and Web based Out-of-Hospital Monitoring System
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 3
%P 36-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recently, healthcare monitoring systems have utilized the modern wireless networks and internet technologies. One of the most developed applications in the healthcare monitoring systems is the fetal heart beat detection. The fetal heartbeat signal contains potentially precise information. This information could assist clinicians in making more appropriate and timely decisions during pregnancy period and labour. The continuous change in the fetal heartbeat signals during the pregnancy period pushes the researchers to focus on building the out-hospital monitoring system. This paper proposes an implementation of out-of-hospital fetal electrocardiogram (FECG) monitoring system. The proposed monitoring system comprises of an acquisition part and data transfer part. The acquisition part acquires FECG signal through use a Least Mean Square (LMS) based adaptive filter. In addition, this part has been written in MATLAB graphical user interface (GUI) to simplify the system usage by pregnant women. The other part uses the internet based web page to transmit FECG data to physicians for monitoring, diagnosis and pregnant care at a significantly low cost, regardless the location of pregnant women. Moreover, a database could be built at the hospital to manage the patients and physicians reports and decisions.

References
  1. R. Swarnalatha and D. V. Prasad, "A Novel Technique for Extraction of FECG using Multi Stage Adaptive Filtering", Journal of Applied Sciences, vol. 10, no. 4, pp. 319-324, 2010.
  2. S. Saranya and S. Priyadharsini, "A Novel Hybrid Soft Computing Technique for Extracting Fetal ECG from Maternal ECG Signal", International Journal of Computer Applications, vol. (3), no. 8, pp. 8887–8975, 2010.
  3. R. Sameni, M. Shamsollahi, C. Jutten, and G. Clifford, "A nonlinear Bayesian filtering framework for ECG denoising," IEEE Transactions on Biomedical Engineering, vol. 54, no. 12, pp. 2172–2185, 2007.
  4. P. Addison, "Wavelet transforms and the ECG: a review," Journal of Physiological measurement, vol. 26, pp. R155, 2005.
  5. L. De Lathauwer, B. De Moor, and J. Vandewalle, "Fetal electrocardiogram extraction by blind source subspace separation," IEEE Transactions on Biomedical Engineering, vol. 47, no. 5, pp. 567–572, 2000.
  6. Z. Zhang, T. P. Jung, S. Makeig, and Bhaskar D. Rao, "Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Non-Invasive Fetal ECG via Block Sparse Bayesian Learning" IEEE Transaction on Biomedical Engineering, vol. 60, no 2, 2013.
  7. Joseph Tan, "E-Health Care Information Systems: An Introduction for Students and Professionals" Published by Jossey-Bass, A Wiley Imprint, vol. 25, pp. R 858, 2005.
  8. Y. ZENG1, Sh. LIU, J. ZHANG "Extraction of Fetal ECG Signal via Adaptive Noise Cancellation Approach" Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on.
  9. M. M. S. Algunaidi, M. A. M. Ali, and Md. Fahkrol Islam, "Comparative analysis of fetal electrocardiogram (ECG) extraction techniques using system simulation", International Journal of the Physical Sciences, vol. 6, no 21, pp. 4952- 4959, 2011.
  10. Z. Luo, "Fetal Electrocardiogram Extraction using Blind Source Separation and Empirical Mode Decomposition", Journal of Computational Information Systems, vol. 8, pp. 4825- 4833, 2012.
  11. A. Sagahyroon, F. Aloul, A. R. Al-Ali, M. S. Bahrololoum, F. Makhsoos, N. Hussein, " Monitoring Patients' Signs Wirelessly" Biomedical Engineering (MECBME), 2011 1st Middle East Conference on.
  12. Logan Porter, B. S. "Wireless In-Home ECG Monitoring System With Remote Access" Master of Science (Engineering Systems – Electrical Systems), University of North Texas, August 2012,.
  13. Linlin Xu, "Wireless Hybrid Bio-Sensing with Mobile based Monitoring System" Master Thesis Report of Information and Communication Technology, Kungliga Tekniska Högskolan , 2013.
  14. M. I. Ibrahimy, M. A. Hasan, S. M. A MotakabberA, "Network Based Fetal ECG Monitoring Algorithm" Australian Journal of Basic and Applied Sciences no. 5 vol. (11): 1505-1512, 2011.
  15. A. Fanelli, M. G. Signorini, M. Ferrario, P. Perego, L. Piccini, G. Andreoni, G. Magenes, "Telefetalcare: a first prototype of a wearable fetal electrocardiograph", 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, 2011.
  16. Prasanth K. , Baby Paul, Arun A. Balakrishnan, "Fetal ECG Extraction Using Adaptive Filters" International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering Vol. 2, Issue 4, April 2013.
  17. Ahmed Sami Tawfeeq, "LMS- Based Fetal ECG Extraction" Thesis of Master Technology in Computer Techniques Engineering, college of Electrical and Electronic Techniques, March, 2013.
  18. http://homes. esat. kuleuven. be/~smc/daisy/daisydata. html "the Daisy dataset web site".
  19. Math Works, "Creating Graphical User Interfaces" The Math Works, Inc. 3 Apple Hill Drive Natick, MA 01760-2098, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Fetal electrocardiogram (FECG) fetal heart rate (FHR) out-of-hospital health care monitoring.