Robust fetal QRS detection from noninvasive abdominal electrocardiogram based on channel selection and simultaneous multichannel processing

Australasian Physical and Engineering Sciences in Medicine

Volumn 38, Issue 4, 2015, Pages 581-592

  Ghaffari, Ali ^a   Mollakazemi, Mohammad Javad ^b   Atyabi, Seyyed Abbas ^a   Niknazar, Mohammad ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIV GRENOBLE ALPES   (France)

Author keywords

Fetal heart rate (FHR); Fetal QRS detection; Multichannel processing; Noise robust; Wavelet transform

Indexed keywords

BIOMEDICAL EQUIPMENT; ELECTROCARDIOGRAPHY; HEART; NEONATAL MONITORING; PROCESSING; SEPARATION; SIGNAL PROCESSING; WAVELET ANALYSIS; WAVELET TRANSFORMS;

COMPUTATIONAL OPERATIONS; FETAL ELECTROCARDIOGRAM SIGNAL (FECG); FETAL HEART RATE; MULTICHANNEL PROCESSING; NOISE DISTRIBUTION; NOISE ROBUST; QRS DETECTION; REAL-TIME HEALTHCARES;

SIGNAL DETECTION;

ALGORITHM; ARTICLE; CONTROLLED STUDY; DIAGNOSTIC VALUE; FETUS ELECTROCARDIOGRAPHY; FETUS HEART RATE; GEOMETRY; MEASUREMENT ACCURACY; PRIORITY JOURNAL; QRS COMPLEX; SCORING SYSTEM; SENSITIVITY ANALYSIS; SIGNAL PROCESSING; VALIDATION PROCESS; WAVELET ANALYSIS; ELECTROCARDIOGRAPHY; FEMALE; HUMAN; PHYSIOLOGY; PREGNANCY; PRENATAL DIAGNOSIS; PROCEDURES;

ALGORITHMS; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE, FETAL; HUMANS; PREGNANCY; PRENATAL DIAGNOSIS; WAVELET ANALYSIS;

EID: 84952987522     PISSN: 01589938     EISSN: 18795447     Source Type: Journal    
DOI: 10.1007/s13246-015-0381-2     Document Type: Article

References (49)

1. Gardosi J, Maeda K (1995) Intrapartum surveillance: recommendations on current practice and overview of new developments. FIGO study group on the assessment of new technology. International federation of gynecology and obstetrics. Int J Gynecol Obstet 49(2):213–221
2. American College of Obstetricians and Gynecologists (ACOG) (2005) ACOG practice bulletin. Clinical management guidelines for obstetrician-gynecologists, number 70, December 2005. Int J Gynecol Obstet 106(6):1453–1460
3. RCOG (2001) Royal College of Obstetricians and Gynaecologists. Evidence-based clinical guideline number 8. The use of electronic fetal monitoring. London: Royal College of Obstetricians and Gynaecologists
4. Rooth G, Huch A, Huch R (1987) Figo news. Guidelines for the use of fetal monitoring. Int J Gynecol Obstet 25:159
5. Congenital Heart Defects (2005) March of Dimes. 2005. http://www.marchofdimes.com/professionals/14332_1212.asp
6. Minino AM, Heron MP, Murphy SL, Kochanek KD (2007) Deaths: Final data for 2004. National Vital Statistics Reports 2007
7. Sameni R, Clifford GD (2010) A review of fetal ECG signal processing; issues and promising directions. J Open Pacing Electrophysiol Ther J 3:4–20
8. Outram NJ, Ifeachor EC, van Eetvelt PWJ, Curnow JSH (1995) Techniques for optimal enhancement and feature extraction of fetal electrocardiogram. J IEE Proc-Sci Meas Technol 142:482–489
9. Mollakazemi MJ, Atyabi SA, Ghaffari A, Jalali A (2014) A novel technique for analyzing noisy noninvasive fetal electrocardiogram signals. In: Proceeding of computing in cardiology 2014
10. Farvet AG (1968) Computer matched filter location of fetal R waves. J Med Biol Eng 6:467–475
11. Park Y, Lee K, Youn D, Kim N, Kim W, Park S (1992) On detecting the presence of fetal R-wave using the moving averaged magnitude difference algorithm. J IEEE Trans Biomed Eng 39:868–871
12. Khamene A, Negahdaripour S (2000) A new method for the extraction of fetal ecg from the composite abdominal signal. J IEEE Trans Biomed Eng 47:507–516
13. Niknazar M, Rivet B, Jutten C (2013) Fetal ECG extraction by extended state Kalman filtering based on single-channel recordings. J Biomed Eng IEEE Trans 60(5):1345–1352
14. Behar J, Johnson A, Clifford GD, Oster J (2014) A comparison of channel fetal ECG extraction methods. J Ann Biomed Eng 42(6):1340–1353
15. Akay M, Mulder E (1996) Examining fetal heart-rate variability using matching pursuits. J IEEE Eng Med Biol Mag 15:64–67
16. Schreiber T, Kaplan DT (1996) Nonlinear noise reduction for electrocardiograms. J Chaos 6:87–92
17. Richter M, Schreiber T, Kaplan DT (1998) Fetal ECG extraction with nonlinear state-space projections. J IEEE Trans Biomed Eng 45:133–137
18. Zhang ZYZ (2006) Extraction of temporally correlated sources with its application to noninvasive fetal electrocardiogram extraction. J Neurocomput 69(7–9):894–899
19. Li Y, Yi Z (2008) An algorithm for extracting fetal electrocardiogram. J Neurocomput 71(7-9):1538–1542
20. Ouali MA, Chafaa K (2013) Separation of composite maternal ECG using SVD decomposition. In: Computer applications technology (ICCAT), 2013 international conference pp 1–4
21. Moraru L, Sameni R, Schneider U, Haueisen J, Schleußner E, Hoyer D (2011) Validation of fetal auditory evoked cortical responses to enhance the assessment of early brain development using fetal MEG measurements. J Physiol Meas 32(11):847–868
22. Niknazar M (2013) Extraction and denoising of fetal ECG signals. Ph.D. Thesis, University of Grenoble, Grenoble, France, 2013. http://theses.eurasip.org/theses/534/extraction-and-denoising-of-fetal-ecg-signals/download
23. Li CW, Zheng CX, Tai CF (1995) Detection of ECG characteristic points using wavelet transforms. J IEEE Trans Biomed Eng 42(1):22–28
24. Zhen J, Zheng XY, Luo J, Li Z (2008) Detection of QRS complexes based on biorthogonal spline wavelet. J Shenzhen Univ Sci Eng 25(2):167–172
25. Jafari MG, Chambers JA (2005) Fetal electrocardiogram extraction by sequential source separation in the wavelet domain. J IEEE Trans Biomed Eng 52(3):390–400
26. Mallat SG (1989) A theory for multiresolution signal decomposition: the wavelet representation. J IEEE Trans Pattern Anal Mach Intell 11(7):674–693
27. De Ridder S, Neyt X, Pattyn N, Migeotte PF (2011) Comparison between EEMD, wavelet and FIR denoising: Influence on event detection in impedance cardiography. Annual International Conference of the IEEE, Boston, Engineering in Medicine and Biology Society, EMBC, 2011, pp 806–809
28. Vettereli M (2001) Wavelets, approximation and compression. IEEE Signal Process Mag 18(5):59–73
29. Rioul O, Vetterli M (1991) Wavelets and signal processing. IEEE Signal Process Mag 8(4):14–38
30. Rashmi P (2012) Removal of artifacts from electrocardiogram. Master’s thesis, national institute of technology Rourkela Odisha 2012. http://ethesis.nitrkl.ac.in/4122/1/Rashmi_Thesis.pdf
31. De Moor B (2010) Database for the identification of systems (DaISy); [online]. http://homes.esat.kuleuven.be/~tokka/daisydata.html/
32. Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, et al. (2000) PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. J Circ 12(101):e215–e220. http://physionet.org/physiobank/database/nifecgdb/
33. Silva I, Behar J, Clifford GD, Moody GB (2013) Noninvasive fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. Computing in Cardiology 2013, Zaragoza
34. ANSI/AAMI/ISO EC57 (1998/(R)2008) Testing and reporting performance results of cardiac rhythm and ST segment measurement algorithms
35. Guerrero-Martinez J, Martinez-Sober M, Bataller-Mompean M, Magdalena-Benedito J (2006) New algorithm for fetal QRS detection in surface abdominal records. Comput Cardiol 2006:441–444
36. Zaunseder S, Andreotti F, Cruz M, Stepan H, Schmieder C, Malberg H, Jank A (2012) Fetal QRS detection by means of Kalman filtering and using the Event Synchronous Canceller. In: 7th international workshop on biosignal interpretation
37. Mollakazemi MJ, Atyabi SA, Ghaffari A (2015) Heart beat detection using a multimodal data coupling method. J Physiol Meas 36(8):1729–1742
38. MATLAB software help. http://www.mathworks.com/help/bioinfo/ref/knnimpute.html
39. Ghaffari A, Atyabi SA, Mollakazemi MJ, Niknazar M, Niknami M, Soleimani A (2013) PhysioNet/CinC Challenge 2013: a novel noninvasive technique to recognize the fetal QRS complexes from noninvasive fetal electrocardiogram signals. Comput Cardiol 40:293–296
40. Mooney DM, Grooome LJ, Bentz LS, Wilson JD (1995) Computer algorithm for adaptive extraction of fetal cardiac electrical signal. In: Proceedings of the 1995 ACM symposium on applied computing pp 113–117
41. Azad KAK (2000) Fetal QRS complex detection from abdominal ECG: a fuzzy approach. IEEE Nordic signal processing symposium (NORSIG). Kolmarden, Sweden, pp 275–278
42. Piéri JF, Crowe JA, Hayes-Gill BR, Spencer CJ, Bhogal K, James DK (2001) Compact longterm recorder for the transabdominal foetal and maternal electrocardiogram. J Med Biol Eng Comput 39(1):118–125
43. Ibrahimy MI, Ahmed F, Ali MAM, Zahedi E (2003) Real-time signal processing for fetal heart rate monitoring. J IEEE Trans Biomed Eng 50(2):258–261
44. Karvounis EC, Papaloukas C, Fotiadis DI, Michalis LK (2004) Fetal heart rate extraction from composite maternal ECG using complex continuous wavelet transform. Comput in Cardiol 2004:737–740
45. Martens SMM, Rabotti C, Massimo M, Sluijte RJ (2007) A robust fetal ECG detection method for abdominal recordings. J Physiol Meas 28(4):373–388
46. Karvounis EC, Tsipouras MG, Fotiadis DI (2009) Detection of fetal heart rate through 3-D phase space analysis from multivariate abdominal recordings. J IEEE Trans Biomed Eng 56(5):1394–1406
47. Hasan M, Reaz M (2012) Hardware prototyping of neural network based fetal electrocardiogram extraction. Meas Sci Rev 12(2):52–55
48. Hasan MA, Reaz MBI, Ibrahimy MI, Hussain MS, Uddin J (2009) Detection and processing techniques of FECG signal for fetal monitoring. J Biol Proced Online 11(1):263–295
49. Sameni R (2008) Extraction of fetal cardiac signals from an array of maternal abdominal recordings. Ph.D. Thesis, Sharif University of Technology, Institut National Polytechnique de Grenoble, 2008. http://www.sameni.info/Publications/Thesis/PhDThesis.pdf