Linear phase FIR filter to compute fetal heart rate variability
-
https://doi.org/10.14419/ijet.v7i4.5.21141
Received date: October 6, 2018
Accepted date: October 6, 2018
Published date: September 22, 2018
-
Abdominal ECG, Composite Linear Phase FIR Filter, Fetal ECG, Fetal Heart Rate, QRS Detector. -
Abstract
Continuous monitoring of fetal heart rate (FHR) can detect the well-being of the fetus and thus indicates non-reassuring fetal status. In- vasive fetal electrocardiography (FECG) using the fetal scalp electrode applied to the fetus scalp allows accurate detection of fetal QRS (FQRS) complexes, however with a risk of infection to the fetus. We have proposed a non-invasive fetal heart rate (NIFHR) filtering technique employing finite impulse response (FIR) filters. We applied Fast Fourier Transform (FFT) to the Physionet abdominal ECG (aECG) records and derived the fiduciary edges of the spectrum of the FECG. A FIR band pass filter (BPF) is designed which is a com- posite filter consisting of a high pass filter (HPF) followed by a low pass filter (LPF) in that order. The cut off frequencies of these com- posite filters are the fiduciary edges of the fetal electrocardiography spectrum. A FQRS detector to obtain fetal heart rate variability (FHRV) processes the FQRS signal filtered through these composite FIR filters. It is observed that channel 4 from records r01 and r08 obtained 100% results for sensitivity, positive predictive value and accuracy while, the overall accuracy was 92.21%. This design can also be extended to compute maternal heart rate.
-
References
- Winkler, Carey L., John C. Hauth, J. Martin Tucker, John Owen, and Cynthia G. Brumfield, “Neonatal complications at term as related to the degree of umbilical artery academia”. American journal of ob- stetrics and gynecology, Vol. 164, No. 2, (1991), pp: 637- 641, https://dx.doi.org/10.1016/S0002-9378(11)80038-4.
- Marchon, N. and Naik, G., “Electrode positioning for monitoring Fetal ECG: A review”, in IEEE International Conference Infor- mation Processing (ICIP) Pune, (2015), pp: 5-10, https://dx.doi.org/10.1109/INFOP.2015.7489341.
- Corton, M.M., Leveno, K., Bloom, S. and Hoffman, B. Williams Obstetrics 24/E. McGraw Hill Professional, (2014).
- Cohen, Wayne R., et al., “Accuracy and reliability of fetal heart rate monitoring using maternal abdominal surface electrodes”, Acta ob- stetricia ET gynecologica Scandinavica, Vol. 91, No.11, (2012), pp: 1306-1313, http://dx.doi.org/10.1111/j.1600-0412.2012.01533.x.
- Varanini, M., Tartarisco, G., Billeci, L., Macerata, A., Pioggia, G. and Balocchi, R., “A multi-step approach for non-invasive fetal ECG analysis”, computing in Cardiology IEEE Conference (CinC), (2013), pp: 281-284.
- Jagannath, D. J., and A. Immanuel Selvakumar, “Issues and re-search on foetal electrocardiogram signal elicitation." Biomedical signal processing and control, Vol. 10, (2014), pp: 224-244, https://dx.doi.org/10.1016/j.bspc.2013.11.001.
- Sameni, Reza, and Gari D. Clifford, “A review of fetal ECG signal processing; issues and promising directions." The open pacing, elec- trophysiology & therapy journal, Vol. 3, No. 4 (2010), pp: 4-20, http://dx.doi.org/10.2174/1876536X01003010004.
- Hasan, Muhammad Asfarul, M. B. I. Reaz, M. I. Ibrahimy, M. S. Hussain, and J. Uddin, “Detection and processing techniques of FECG signal for fetal monitoring”. Biological procedures online, Vol. 11, No.1, (2009), pp: 295-305, https://dx.doi.org/10.1007/s12575-009-9006-z.
- Behar, Joachim, Fernando Andreotti, Sebastian Zaunseder, Ju-lien Oster, and Gari D. Clifford, “A practical guide to non-invasive foetal electrocardiogram extraction and analysis”. Phys-iological measure- ment, Vol. 37, No. 5, (2016), pp: R1-R35, http://dx.doi.org/10.1088/0967-3334/37/5/R1.
- Pan, Jiapu, and Willis J. Tompkins, (1985) “A real-time QRS de-tec- tion algorithm”, IEEE transactions on biomedical engineer-ing, Vol. 3, (1985), pp: 230-236, http://dx.doi.org/10.1109/TBME.1985.325532.
- Peters, Maria, John Crowe, Jean-Francois Piéri, Hendrik Quar-tero, Barrie Hayes-Gill, David James, Jeroen Stinstra, and Simon Shake- speare, “Monitoring the fetal heart non-invasively: a re-view of methods”, Journal of perinatal medicine, Vol. 29, No. 5, (2001), pp: 408-416, https://dx.doi.org/10.1515/JPM.2001.057.
- Ţarălungă, Dragoş-Daniel, Georgeta-Mihaela Ungureanu, Ilinca Gussi, Rodica Strungaru, and Werner Wolf, “Fetal ECG extrac-tion from abdominal signals: a review on suppression of funda-mental power line interference component and its harmonics”, Computa- tional and mathematical methods in medicine, Vol. 2014, (2014), http://dx.doi.org/10.1155/2014/239060.
- Stinstra, J., Golbach, E., Leeuwen, P.V., Lange, S., Menendez, T., Moshage, W., Schleussner, E., Kaehler, C., Horigome, H., Shi- gemitsu, S. and Peters, M.J, “Multicentre study of fetal cardiac time intervals using magnetocardiography." BJOG: An International Journal of Obstetrics & Gynecology, Vol. 109, No.11, (2002), pp: 1235-1243, http://dx.doi.org/10.1046/j.1471-0528.2002.01057.x
- Rooijakkers, Michael Johannes, Shuang Song, Chiara Rabotti, S. Guid Oei, Jan WM Bergmans, Eugenio Cantatore, and Mas-simo Mischi, “Influence of electrode placement on signal quality for am- bulatory pregnancy monitoring”. Computational and mathematical methods in medicine, (2014), http://dx.doi.org/10.1155/2014/960980.
- Lamesgin, Gizeaddis, Yonas Kassaw, and Dawit Assefa, “Ex-traction of fetal ecg from abdominal ecg and heart rate variabil-ity analysis”, In Afro-European Conference for Industrial Ad-vancement Springer, Cham,(2015), pp: 65-76,http://dx.doi.org/ 10.1007/978-3-319-13572- 4_5.
- Donn, Steven M., M. Blennow, K. Marsal, K. Boggess, P. C. Ng, F.
- A. Chervenak, D. Peebles et al. "Seminars in Fetal & Neonatal Medi- cine.” Vol. 19, No. 1, 2014, pp: 1-6.
- Matonia, Adam, Janusz Jezewski, Tomasz Kupka, Krzysztof Horoba, Janusz Wrobel, and Adam Gacek. "The influence of co-incidence of fetal and maternal QRS complexes on fetal heart rate reliability." Medical and Biological Engineering and Com-puting, Vol. 44. No. 5, 2006, pp: 393-403, https://dx.doi.org/10.1007/s11517-006-0054-0.
- Agostinelli, Angela, Marla Grillo, Alessandra Biagini, Corrado Giu- liani, Luca Burattini, Sandro Fioretti, Francesco Di Nardo, Stefano R. Giannubilo, Andrea Ciavattini, and Laura Burattini, “Noninvasive fe- tal electrocardiography: an overview of the signal electrophysiologi- cal meaning, recording procedures, and processing techniques”, An- nals of Noninvasive Electrocardiol-ogy, Vol. 20, No. 4, (2015), pp: 303-313,http://dx.doi.org/10.1111/anec.12259.
- Reaz, Mamun Bin Ibne, and Lee Sze Wei, “Adaptive linear neural network filter for fetal ECG extraction. Intelligent sensing and in- formation processing”. Proceedings of IEEE International Confer- ence. (2004), pp: 321-324, http: //10.1109/ICISIP.2004.1287675.
- Kohler, B-U., Carsten Hennig, and Reinhold Orglmeister, “The prin- ciples of software QRS detection”. IEEE Engineering in Medicine and Biology Magazine, Vol. 21, No.1, (2002), pp: 42-57, http://dx.doi.org/10.1109/51.993193.
- Elgendi, Mohamed, Mirjam Jonkman, and Friso DeBoer, “Fre-quency bands effect on QRS detection”, Pan, Vol.5, No.15, 2010, pp: 1-5.
- Karin, J., M. Hirsch, O. Segal, and S. Akselrod, “Noninvasive fetal ECG monitoring”, Computers in Cardiology, IEEE, (1994), pp: 365- 368, http://dx.doi.org/10.1109/CIC.1994.470169.
- Kligfield, Paul, Leonard S. Gettes, James J. Bailey, Rory Chil-ders, Barbara J. Deal, E. William Hancock, Gerard van Herpen et al, “Recommendations for the Standardization and Interpre-tation of the Electrocardiogram”, Circulation, Vol. 115, No.10, (2007), pp: 1306- 1324, https://dx.doi.org/10.1016/j.hrthm.2007.01.027.
- A.L.Goldberger, LAN Amaral, L. Glass, J.M Hausdorff, P. Ivanov, R.G. Mark, J.E Mietus, G.B. Moody, C.K. Peng, H.E. Stanley, Phys- ioBank, PhysioToolkit, and PhysioNet: Compo-nents of a New Re- search Resource for Complex Physiologic Signals. Circulation, Vol. 101, No. 23, (2010), pp: e215-e220, http://dx.doi.org/ 10.1161/01.CIR.101.23.e215.
- E.C. Ifeachor and B.W. Jervis, Digital signal processing a prac-tical approach. Pearson Education, (2002), pp: 367-379.
- Marchon, Niyan, Gourish Naik, and Radhakrishna Pai. “Linear Phase Sharp Transition BPF to Detect Noninvasive Maternal and Fetal Heart Rate.” Journal of Healthcare Engineering Vol. 2018, pp: 1-14. https://doi.org/10.1155/2018/5485728.
- Marchon, Niyan, Gourish Naik, and Radhakrishna Pai. "Moni-toring of fetal heart rate using sharp transition FIR filter." Bio-medical Sig- nal Processing and Control, Vol. 44 (2018), pp: 191-199. https://doi.org/10.1016/j.bspc.2018.04.017.
- ANSI/AAMI/ISO EC57 1998/(R) 2008 Testing and reporting per- formance results of cardiac rhythm and ST-segment meas-urement al- gorithms.
- Marchon, Niyan, and Gourish Naik, “Detection of fetal heart rate using ANFIS displayed on a smartphone", Region 10 IEEE Confer- ence (TENCON) Singapore, (2016), pp: 1519-1523, http://dx.doi.org/10.1109/TENCON.2016.7848269.
- Abdominal and Direct Fetal Electrocardiogram Database (ad-fecgdb), https://www.physionet.org/physiobank/database/adfecgdb. Cit-ed 15 June 2017.
- Marchon, Niyan, Gourish Naik, and Radhakrishna Pai, "ECG Elec- trode Configuration to Extract Real Time FECG Signals", Procedia Computer Science, Vol. 125, (2018), pp: 501-508. https://dx.doi.org/10.1016/j.procs.2017.12.065.
-
Downloads
-
How to Cite
Marchon, N., & Naik, G. (2018). Linear phase FIR filter to compute fetal heart rate variability. International Journal of Engineering and Technology, 7(4.5), 492-496. https://doi.org/10.14419/ijet.v7i4.5.21141
