期刊论文详细信息
Biological Procedures Online
Detection and Processing Techniques of FECG Signal for Fetal Monitoring
MA Hasan1  MBI Reaz2  MI Ibrahimy1  MS Hussain1  J Uddin1 
[1] Department of Electrical and Computer Engineering, International Islamic University Malaysia, Gombak, 53100, Kuala Lumpur, Malaysia
[2] Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
关键词: FPGA;    QRS complex;    FHR;    FECG;    MECG;    ECG;   
Others  :  797176
DOI  :  10.1007/s12575-009-9006-z
 received in 2009-01-23, accepted in 2009-03-05,  发布年份 2009
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【 摘 要 】

Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies are becoming very important requirements in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature for fetal monitoring. A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. Finally, this paper further focused some of the hardware implementations using electrical signals for monitoring the fetal heart rate. This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system.

【 授权许可】

   
2009 Hasan et al.

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【 参考文献 】
  • [1]The American College of Obstetricians and Gynecologists: Fetal heart rate monitoring during labor. [http://www.acog.org/publications/patient_education/bp015.cfm] webcite 2001.
  • [2]Chen P: Fetal heart monitoring. Department of Obstetrics & Gynecology, University of Pennsylvania Medical Center. [http://pennhealth.com/ency/article/003405.htm] webcite 2004.
  • [3]Van Geijn HP, Copray FJA: A critical appraisal of fetal surveillance. J Nurse Midwifery 1996, 41:64-64.
  • [4]Crowe JA, Herbert JM, Huang XB, Reed N, et al.: Sequential recording of the abdominal fetal electrocardiogram and magnetocardiogram. Physiol Meas 1995, 16:43-47.
  • [5]Bassil HE, Dripps JH: Real time processing and analysis of fetal phonocardiographic signals. Clin Phys Physiol Meas 1989, 10:67-74.
  • [6]Noguchi Y, Mamune H, Sugimoto S, Yoshida J, et al.: Measurement characteristics of the ultrasound heart rate monitor. Engineering in medicine and biology society. Engineering advances. New opportunities for biomedical engineers. In Proceedings of the 16th annual international conference of the IEEE. Volume 1. Baltimore, MD, USA; 1994::670-671.
  • [7]Karvounis EC, Tsipouras MG, Fotiadis DI, et al.: An automated methodology for fetal heart rate extraction from the abdominal electrocardiogram. IEEE Trans Inf Technol Biomed 2007, 11:628-638.
  • [8]Ungureanu M, Bergmans JWM, Mischi M, et al.: Improved method for fetal heart rate monitoring. 27th annual international conference of the engineering in medicine and biology society, IEEE-EMBS, Shanghai, China 2005, 5916-5919.
  • [9]Divon MY, Torres FP, Yeh SY, et al.: Autocorrelation techniques in fetal monitoring. J Obstet Gynecol 1985, 1:151-151.
  • [10]Lawson GW, Belcher R, Dawes GS, et al.: A comparison of ultrasound (with autocorrelation) and direct electrocardiogram fetal heart rate detector systems. Am J Obstet Gynecol 1983, 147:721-722.
  • [11]Fukushima T, Flores CA, Hon EH, et al.: Limitations of autocorrelation in fetal heart rate monitoring. J Obstet Gynecol 1985, 153:685-692.
  • [12]Najafabadi FS, Zahedi E, Ali MAM: A novel model for abdominal electrocardiography of a pregnant woman. In Sensors and the international conference on new techniques in pharmaceutical and biomedical research. Kuala Lumpur, Malaysia; 2005:64-68.
  • [13]Kanjilal PP, Palit S, Saha G: Fetal ECG extraction from single-channel maternal ECG using singular value decomposition. IEEE Trans Biomed Eng 1997, 44:51-59.
  • [14]Solum T, Ingemarsson I, Nygren A: The accuracy of abdominal ECG for fetal electronic monitoring. J Perinat Med 1980, 8:142-149.
  • [15]Maria P, John C, Jean-Francois P, et al.: Monitoring the fetal heart non-invasively: a review of methods. J Perinat Med 2001, 29:408-416.
  • [16]Zarzoso V, Nandi AK: Noninvasive fetal electrocardiogram extraction: blind separation versus adaptive noise cancellation. IEEE Trans Biomed Eng 2001, 48:12-18.
  • [17]Najafabadi FS, Zahedi E, Ali MAM: Fetal heart rate monitoring based on blind source separation. In IFMBE proceedings of Kuala Lumpur International Conference on Biomedical Engineering. Volume 7. Kuala Lumpur, Malaysia; 2004::141-144.
  • [18]Khamene A, Negahdaripour S: A new method for the extraction of fetal ECG from the composite abdominal signal. IEEE Trans Biomed Eng 2000, 47:507-516.
  • [19]Greene KR: The ECG waveform. Baillieres Clin Obstet Gynaecol 1987, 1:131-155.
  • [20]Murray HG: The fetal electrocardiogram: current clinical developments in Nottingham. J Perinat Med 1986, 14:399-404.
  • [21]Kirk DL, Smith PR: Techniques for the routine on-line processing of the fetal electrocardiogram. J Perinat Med 1986, 14:391-397.
  • [22]Lilja H, Karlsson K, Lindecrantz K, et al.: Microprocessor based waveform analysis of the fetal electrocardiogram during labor. Int J Gynaecol Obstet 1989, 30:109-116.
  • [23]Reaz MBI, Wei LS: Adaptive linear neural network filter for fetal ECG extraction. Proceedings of international conference on intelligent sensing and information processing. Chennai. India; 4–7 January 2004 2004, 321-324.
  • [24]Vasios G, Prentza A, Blana D, et al.: Classification of fetal heart rate tracings based on wavelet transform and self organizing map neural networks. 2001 proceedings of the 23rd annual EmBS international conference. Istanbul, Turkey; October 25–28 2001 2001, 1633-1636.
  • [25]Camps G, Martinez M, Soria E: Fetal ECG extraction using an FIR neural network. In Comput Cardiol. Rotterdam, Netherlands; 2001:249-252.
  • [26]Kalam AKA, Darus ZM, Ali MAM: Development of a fuzzy rule-based QRS detection algorithm for fetal and maternal heart rate monitoring. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 29 Oct–01 Nov 1998 1998, 1:170-173.
  • [27]Selvan S, Srinivasan R: A novel adaptive filtering technique for the processing of abdominal fetal electrocardiogram using neural network. In Adaptive systems for signal processing, communications and control symposium 2000. Louise, Alta, Canada; 2000:289-292.
  • [28]Kam A, Cohen A: Detection of fetal ECG with IIR adaptive filtering and genetic algorithms. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'99). Volume 4. Phoenix, AZ, USA; 1999::2335-2338.
  • [29]de Araujo D, Barros AK, Baffa O, et al.: Fetal magnetocardiographic source separation using the poles of the autocorrelation function. Proceedings of the 4th international symposium on independent component analysis and blind signal separation, Nara, Japan, 1–4 April 2003 2003, 833-836.
  • [30]Cichocki A, Amari S: Adaptive blind signal and image processing. Wiley, Hoboken; 2002.
  • [31]Gennser G, Johansson BW, Kullander S: Electrocardiographic and tissue lactate changes in the hypoxic human fetus in mid-pregnancy. J Obstet Gynecol Br Commonw 1968, 75:941-948.
  • [32]Tal Y, Akselrod S: Fetal heart rate detection by a special transformation method. In Proceedings of Computers in Cardiology. Jerusalem, Israel; 1989:275-278.
  • [33]Sheild JEA, Kirk DL: The use of digital filters in enhancing the fetal electrocardiogram. J Biomed Eng 1981, 3:44-48.
  • [34]Hon EH, Lee ST: Noise reduction in fetal electrocardiography. II. Averaging Techniques. Am J Obstet Gynecol 1963, 87:1086-1096.
  • [35]Charles B: An enhanced signal processing strategy for fetal heart rate detection. In Master Thesis. Old Dominion University; 1996.
  • [36]Zhou Z: Fetal heart rate detection with a passive acoustic sensor system. In Master Thesis. Old Dominion University; 1995.
  • [37]Pretlow RA: Signal processing methodologies for an acoustic fetal heart rate monitor. Old Dominion University Research Foundation 1992.
  • [38]Kaiser JF: On a simple algorithm to calculate the energy of a signal. In International Conference Acoustics, Speech, and Signal Processing ICASSP. Volume 1. Albuquerque, NM, USA; 1990::381-384.
  • [39]Symmonds EM, Sahota D, Chang A: Fetal electrocardiography. Imperial College Press, London; 2001.
  • [40]Martinez M, Soria E, Calpe J, et al.: Application of the adaptive impulse correlated filter for recovering fetal electrocardiogram. In Comput Cardiol. Volume 24. Lund, Sweden; 1997::9-12.
  • [41]Camps-Valls G, Martinez-Sober M, Soria-Olivas E, et al.: Foetal ECG recovery using dynamic neural networks. Artif Intell Med 2004, 31:197-209.
  • [42]Zarzoso V, Nandi AK, Bacharakis E: Maternal and foetal ECG separation using blind source separation methods. IMA J Math Appl Med Biol 1997, 14:207-225.
  • [43]Vrins F, Jutten C, Verleysen M: Sensor array and electrode selection for non-invasive fetal electrocardiogram extraction by independent component analysis. Proceedings 5th International Conference. Granada, Spain; 22–24 September 2004 2004, 1017-1024.
  • [44]Golbach EGM, Stinstra JG, Grot P, et al.: Reference values for fetal MCG/ECG recordings in uncomplicated pregnancies. Proceedings 12th International Conference on Biomagnetism. Espoo. Finland; 13–17 August 2000595-598.
  • [45]Rochard F, Schifrin BS, Goupil F, et al.: Nonstressed fetal heart rate monitoring in the antepartum period. Am J Obstet Gynecol 1996, 174:1644.
  • [46]Hon EH, Lee ST: The fetal electrocardiogram. Am J Obstet Gynecol 1963, 87:804-813.
  • [47]Rhyne VT: A digital system for enhancing the fetal electrocardiogram. IEEE Trans Biomed Eng 1969, 16:80-86.
  • [48]Van Bemmel JH, Peeters L, Hengeveld SJ: Influence of the maternal ECG on the abdominal fetal ECG complex. Am J Obstet Gynecol 1968, 102:556-562.
  • [49]Favret AG, Marchetti AA: Fetal electrocardiographic wave forms from abdominal-wall recordings. Obstet Gynecol 1966, 27:355-362.
  • [50]Nagel JH: Progress in fetal monitoring by improved data acquisition. IEEE Trans Biomed Eng 1966, BME-13(4):175-182.
  • [51]Stoughton JW, Weber GN, Pretlow RA: Fetal heart rate estimation via adaptive least mean square linear prediction methods. Proc IEEE Southeastcon '90 1990, 1:260-264.
  • [52]Lai KC, Shynk JJ: A signal separation algorithm for fetal heart-rate estimation. Signals, Systems and Computers Conference Record of the Thirty-fourth Asilomar 2000, 1:348-351.
  • [53]Peters C, Vullings R, Bergmans J, et al.: Heart rate detection in low amplitude non-invasive fetal ECG recordings. 28th Annual International Conference of the IEEE EMBS. New York. USA; 30 Aug–3 Sept 2006 2006, 6092-6094.
  • [54]Martinez M, Soria E, Calpe J, et al.: Application of the adaptive impulse correlated filter for recovering fetal electrocardiogram. In Comput Cardiol. Lund, Sweden; 1997:9-12.
  • [55]Echeverria JC, Ramirez N, Pimentel AB, et al.: Fetal QRS extraction based on wavelet analysis and pattern matching. Engineering in medicine and biology society. Bridging disciplines for biomedicine. Proceedings of the 18th Annual International Conference of the IEEE. Amsterdam. Netherlands; 31 October–3 November 1996 1996, 4:1656-1657.
  • [56]Bergveld P, Arjan JK, Peuscher JHJ: Real-time fetal ECG Recording. IEEE Trans Biomed Eng 1986, BME-33:505-509.
  • [57]Mallat SG: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 1989, 1:674-693.
  • [58]Abboud S, Sadeh D: Spectral analysis of the fetal electrocardiogram. Comput Biol Med 1989, 19:409-415.
  • [59]Datian Y, Xuemei O: Application of wavelet analysis in detection of fetal ECG. Engineering in Medicine and Biology Society. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE. Amsterdam. Netherlands; 31 October–3 November 1996 1996, 3:1043-1044.
  • [60]Mallat S, Hwang WL: Singularity detection and processing with wavelets. IEEE Trans Inf Theory 1992, 38:617-643.
  • [61]Papadimitriou S, Gatzounas D, Papadopoulos V, et al.: Fetal heart rate signal denoising by processing the wavelet transform modulus maxima. Engineering in Medicine and Biology Society, Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE. Amsterdam. Netherlands; 31 October–3 November 1996 1996, 3:1029-1030.
  • [62]Mochimaru F, Fujimoto Y: Detecting the fetal electrocardiogram by wavelet theory-based methods. Prog Biomed Res 2002, 7:185-193.
  • [63]Karvounis EC, Papaloukas C, Fotiadis DI, et al.: Fetal heart rate extraction from composite maternal ECG using complex continuous wavelet transforms. In Comput Cardiol. Chicago, IL, USA; 2004:737-740.
  • [64]Song Y, Xie W, Chen JF, et al.: Passive acoustic maternal abdominal fetal heart rate monitoring using wavelet transform. In Comput Cardiol. Valencia, Spain; 2006:581-584.
  • [65]Karvounis EC, Tsipouras MG, Fotiadis DI, et al.: A method for fetal heart rate extraction based on time-frequency analysis. 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06). Salt Lake City, UT, USA; 22–23 June 2006 2006, 347-347.
  • [66]Liszka-Hackzell J: Categorization of fetal heart rate patterns using neural networks. In Comput Cardiol. Bethesda, Maryland, USA; 1994:97-100.
  • [67]Marques de Sa JP, Reis LP, Lau JN, et al.: Estimation and classification of fetal heart rate baselines using artificial neural networks. In Comput Cardiol. Bethesda, Maryland, USA; 1994:541-544.
  • [68]Magenes G, Signorini MG, Arduini D: Detection of normal and pathological fetal states by means of neural and fuzzy classifiers applied to CTG parameters. Engineering in Medicine and Biology. 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Soc. BMES/EMBS Conference. Atlanta, GA, USA; 13–16 October 1999 1999, 2:936-936.
  • [69]Widrow B, Glover JR Jr, McCool JM, et al.: Adaptive noise canceling: principles and applications. Proc IEEE 1975, 63:1692-1716.
  • [70]Warrick P, Hamilton E, Macieszczak M: Neural network based detection of fetal heart rate patterns. Proceedings of International Joint Conference on Neural Networks. Montreal. Canada; 31 July–4 August 2005 2005, 4:2400-2405.
  • [71]Lieven de L, Bart de M, Joos V: Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans Biomed Eng 2000, 47:567-572.
  • [72]Barros AK, Cichocki A: Extraction of specific signals with temporal structure. In Neural Comput. Volume 13. MIT Press; 2001::1995-2003.
  • [73]Marossero DE, Erdogmus D, Euliano N, et al.: Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient mermaid algorithm. Neural Networks for Signal Processing (NNSP'03). IEEE 13th Workshop. Toulouse, France; 17–19 September 2003 2003, 399-408.
  • [74]Hild KE II, Erdogmus DE, Principe J: Blind source separation using Renyi's mutual information. IEEE Signal Process Lett 2001, 8:174-176.
  • [75]Ping G, Ee-Chien C, Wyse L: Blind separation of fetal ECG from single mixture using SVD and ICA. 4th International Conference on Information, Communications & Signal Processing and 4th Pacific-Rim Conference on Multimedia (ICICS-PCM 2003). Singapore; 15–18 December 2003 2003, 3:1418-1422.
  • [76]Vigneron V, Paraschiv-Ionescu A, Azancot A, et al.: Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising, proceedings. 7th International Symposium on Signal Processing and Its Applications. Paris, France. 1–4 July 2003 2003, 2:69-72.
  • [77]Vrins F, Vigneron V, Jutten C, et al.: Abdominal electrodes analysis by statistical processing for fetal electrocardiogram extraction. Proceedings of the 2nd International Conference Biomedical Engineering. Innsbruck, Austria; 16–18 February 2004 2004, 244-229.
  • [78]Burghoff M, Van Leeuwen P: Separation of fetal and maternal magnetocardiographic signals in twin pregnancy using independent component analysis (ICA). Neurol Clin Neurophysiol 2004, 1-4.
  • [79]Chareonsak C, Farook S, Yu W, et al.: Design of FPGA hardware for a real-time blind source separation of fetal ECG signals, Biomedical Circuits and Systems. 2004 IEEE International Workshop on Biomedical Circuits and Systems. Singapore; 1–3 December 2004 2004, 13-16.
  • [80]Lee J, Park KL, Lee KJ: A new over-determined BSS based algorithm for a single channel wearable fetal heart rate monitoring system. Proceedings of the Conference the Japan Society of Medical Electronics & Biomedical Engineering. Japan; 2005 2005, 44:685-686.
  • [81]Widrow B, Stearns S: Adaptive signal processing. Prentice-Hall, Upper Saddle River; 1985.
  • [82]Horner S, Holls W, Crilly PB: Non-invasive fetal electrocardiograph enhancement. In Proceedings of Computers in Cardiology. Durham, NC, USA; 1992:163-166.
  • [83]Magalhaes F, Marques de Sa JP, Bernardes J, et al.: Characterization of fetal heart rate irregularity using approximate entropy and wavelet filtering. In Comput Cardiol. Volume 33. Valencia, Spain; 2006::933-996.
  • [84]Georgoulas GG, Stylios CD, Nokas G, et al.: Classification of fetal heart rate during labour using hidden Markov models. Proceedings 2004 IEEE International Joint Conference on Neural Networks (IJCNN'2004). Budapest, Hungary; 25–29 July 2004 2004, 3:2471-2475.
  • [85]Vasios G, Prentza A, Hintipas E, et al.: Investigating the effect of oxygen saturation on very low frequency periodic components of the fetal heart rate during labor using matching pursuits. Proceedings of the 25th Annual International Conference of the IEEE in Engineering in Medicine and Biology Society. Cancun. Mexico; 17–21 September 2003 2003, 3:2566-2569.
  • [86]Laim KC, Shynk JJ: A successive cancellation algorithm for fetal heart-rate estimation using an intrauterine ECG signal. IEEE Trans Biomed Eng 2002, 49:943-954.
  • [87]Kezi Selva Vijila C, Kanagasabapathy P, Johnson S: Adaptive neuro fuzzy inference system for extraction of FECG. Proceedings of IEEE India Annual Conference (INDICON 2005). Chennai, India; 11–13 December 2005 2005, 224-227.
  • [88]Vanderschoot J, Callaerts D, Sansen W, et al.: Two methods for optimal MECG elimination and FECG detection from skin electrode signals. IEEE Trans Biomed Eng 1987, 34:233-243.
  • [89]Callaerts D, De Moor B, Vandewalle J, et al.: Comparison of SVD methods to extract the foetal electrocardiogram from coetaneous electrode. Med Biol Eng Comput 1990, 28:217-224.
  • [90]Kam A, Cohen A: Maternal ECG elimination and foetal ECG detection comparison of several algorithms. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Hong Kong SAR, China; October 29–November 1. 1998 1998, 20:174-177.
  • [91]Mooney DM, Grooome LJ, Bentz LS, et al.: Computer algorithm for adaptive extraction of fetal cardiac electrical signal. Proceedings of the 1995 ACM Symposium on Applied Computing. Nashville, Tennessee, USA; 26–28 February 1995 1995, 113-117.
  • [92]Azad KAK: Fetal QRS complex detection from abdominal ECG: a fuzzy approach. Proceedings of IEEE Nordic Signal Processing Symposium. Kolmarden, Sweden; 2000 2000, 275-278.
  • [93]Pieri JF, Crowe JA, Hayes-Gill BR, et al.: Compact long-term recorder for the transabdominal foetal and maternal electrocardiogram. Med Biol Eng Comput 2001, 39:118-125.
  • [94]Ibrahimy MI, Ismial AF, Ali MAM, et al.: Real-time signal processing for fetal heart rate monitoring. IEEE Trans Biomed Eng 2003, 50:258-261.
  • [95]Lin WC, Feng CH, Neuman MR: A microprocessor-based data acquisition and processing system for studying the kinematics of labor. In Proc IEEE. Volume 65. New York, US; 1977::722-729.
  • [96]Pimentel BS, de Avila Valgas Filho JH, Campos RL, et al.: A FPGA implementation of a DCT-based digital electrocardiographic signal compression device. 14th symposium integrated circuits and systems design. Pirenopolis. Brazil; 10–15 September 2001 2001, 44-49.
  • [97]Charoensak C, Sattar F: Design of low-cost FPGA hardware for real-time ICA-based blind source separation algorithm. EURASIP Journal on Applied Signal Processing 2005, 3076-3086.
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