Refining the diagnostic quality of the abdominal fetal electrocardiogram using the techniques of artificial intelligence

• Autorzy: Martinek R. , Zidek J.

Warianty tytułu

PL

Poprawa jakości sygnału elektrokardiogramu płodu przy wykorzystaniu narzędzi sztucznej inteligencji

• Języki publikacji: EN

Abstrakty

EN

This article deals with utilization of the combination of the fuzzy system and artificial intelligence techniques, called the Adaptive Neuro Fuzzy Inference System ANFIS, with the aim to refine the diagnostic quality of the abdominal fetal electrocardiogram FECG. Within the scope of the experiments carried out and based on the ANFIS structure the authors created a complex system for removing the undesirable mother’s MECG degrading the abdominal FECG. Current research shows that the application of the conventional systems for enhancing the diagnostic quality of the abdominal FECG faces a series of problems (e.g. non-linear character of the task to solve, computational complexity of RLS algorithms, etc.). The need for a higher diagnostic quality of the abdominal FECG is reflected in the authors’ intention to utilize the designed system for the latest intrapartum monitoring method, called ST analysis. In terms of this advanced method, the aspect subjected to a diagnostic analysis is the ST segment of the FECG curve. The results indicate that the system utilizing ANFIS shows better experimental results than the conventional systems based on the LMS or RLS adaptive algorithms. The proposed adaptive system aims to clear any doubts in evaluation of the results of ST analysis while using a non-invasive method of external monitoring.

PL

W artykule przedstawiono wykorzystanie fuzji metod: zbiorów rozmytych i sztucznej inteligencji ANFIS do poprawy jakości diagnostyki elektrokardiografii płodu. Głównym problemem jest usunięcie sygnału pochodzącego od matki który znacznie przewyższa sygnał płodu. (Poprawa jakości sygnału elektrokardiogramu płodu przy wykorzystaniu narzędzi sztucznej inteligencji)

Słowa kluczowe

EN

ANFIS; FECG; MECG; ST analysis

PL

ANFIS; elektrokardiogram

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 12b
• Strony: 155--160
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Martinek R.

autor

Zidek J.

• VSB – Technical University of Ostrava,

Bibliografia

• [1] Martinek R.; Zidek, J. A System for Improving the Diagnostic Quality of Fetal Electrocardiogram. In Journal Przegląd Elektrotechniczny, R. 88 NR 5b/2012, Warszawa, Poland, May 2012, pp. 164-173, ISSN 0033-2097.
• [2] Martinek R.; Zidek, J. Use of adaptive filtering for noise reduction in communications systems. International Conference-Applied Electronics. Pilsen: AE, 2010. pp. 1-6, ISBN 978-80-7043-865-7, ISSN 1803-7232, INSPEC Accession Number 11579482.
• [3] Nasiri, M.; Faez, K. Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm. International Conference Biomedical Engineering (ICoBE), Penang 2012, pp. 197-202, ISBN 978-1-4577-1990-5.
• [4] Assaleh, K. Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems. Biomedical Engineering, Volume: 54, Issue: 1, 2007, pp. 59-68 ISSN 0018-9294.
• [5] Wahlin, A. Fetal ECG waveform analysis for intrapartum monitoring. PhD thesis, Dept. Obstetrics and Gynecology, Lund University Hospital, 2003.
• [6] Chudacek, V. Fetal Electrocardiogram Analysis. PhD thesis, Department of Cybernetic, Czech Technical University in Prague, 2009.
• [7] Neoventa: Stan S31, 2010. [online]. [cit. 2012-06-26]. <http://www.neoventa.com/products/stan>
• [8] Monica – Healthcare Limited, Training Guide, 2011. [online]. [cit. 2012-06-26]. <http://www.monicahealthcare.com/>
• [9] Bhogal, K.; Reinhard, J. Maternal and fetal heart rate confusion during labour, British Journal of Midwifery. Vol. 18, No, 7: 424-428. July 2010.
• [10] Wayne, R. Accuracy and Reliability of Fetal Heart Rate Monitoring Using Maternal Abdominal Surface Electrodes. Cohen et al, Submitted to Obstetrics & Gynecology (under review), August 2011.
• [11] Cabaniss, M.; Ross, M. Fetal Monitoring Interpretation. Second, Lippincott Williams & Wilkins, 2010. 512 s. ISBN 978-1-60831-381-5.
• [12] Murray, M. Antepartal and Intrapartal Fetal Monitoring. Third Edition, 544 pp., Softcover, ISBN-13: 9780826132628, 2006.
• [13] Costa, A.; Ayres-de-Campos, D.; Costa F.; Santos C.; Bernardes J. Prediction of neonatal acidemia by computer analysis of fetal heart rate and ST event signals. 2009 Nov; 201(5): 464.e1-6. Epub 2009.
• [14] Janku, P. ST waveform analysis of fetal ECG in intrapartal diagnostic of fetal hypoxia in case of risk pregnancies. Prague, 78 p., PhD thesis, Faculty of Medicine, Masaryk University, 2007.
• [15] Khamene, A.; Negahdaripour, S. A new method for the extraction of fetal ECG from the composite abdominal signal. IEEE Trans. on Biomed. Eng. April 2000, vol. 47, n.4, pp. 507-515.
• [16] Roberts, M. J. Signals and Systems: Analysis Using Transform Methods and MATLAB, USA, The McGraw-Hill Companies, 2008, 1026 p. ISBN 0-07-293044-6.
• [17] Blanchet, G., Charbit, M. Digital Signal and Image Processing using MATLAB®. Newport Beach,CA 92663, USA : ISTE USA, 2006. 764 p. ISBN 978-1-905209-13-2.
• [18] Amer-Wahlin, I.; Yli, B.; Arulkumaran, S. Fetal ECG and STAN technology - a review. Eur Clinics Obstet Gynaecol 2005, 1, 61–73.
• [19] Wagner, G. S. Marriott's Practical Electrocardiography. 8th edition Lippincott Williams & Wilkins, 2002. 488 p. ISBN 0781797381.
• [20] Sornmo, L.; Laguna, P. Bioelectrical Signal Processing in Cardiac and Neurological Applications (Biomedical Engineering). 1st edition Academic Press, 2005. 688 p. ISBN 0124375529.
• [21] Castillo, O.; Melin, P. Type-2 Fuzzy Logic: Theory and Applications. 2008, XIV, 244 p. 188 illus, ISBN 978-3-540-76283-6.
• [22] Shukla, A.; Tiwari, R.; Kala, R. Towards Hybrid and Adaptive Computing. 1st Edition, 2010, 450 p., 138 illus, ISBN 978-3-642-14343-4/
• [23] Cabaniss, M., L.; Ross M., G. Fetal Monitoring Interpretation. Second Edition, p. 512, 2009, ISBN: 9781608313815.
• [24] Macfarlane, P.W.; Oosterom, A.; Pahlm, O.; Kligfield, P.; Janse, M.; Camm, J. Comprehensive Electrocardiology. 2nd ed., 2010, XVII, 2291 p ISBN 978-1-84882-045-6.