The fetal heart rate estimation based on continuous ultrasonic Doppler data

• Autorzy: Kret T. , Kałużyński K.
• Języki publikacji: EN

Abstrakty

EN

Two methods to compute the fetal heart rate based on the analysis of Doppler signals obtained using continuous wave ultrasound were studied. The first uses bandpass filtering, directional signal separation and computation of the autocorrelation coefficient of the envelope of a single directional Doppler signal. The other uses discrete wavelet decomposition and reconstruction of a single directional signal with Daubechies db 10 wavelet family, with subsequent computation of the autocorrelation coefficient of the envelope of the reconstructed signal details for various scales. The results indicate that the discrete wavelet decomposition method is a suitable tool for fetal heart rate determination. It results in a more consistent fetal heart rate trace than the bandpass filtering approach.

Słowa kluczowe

EN

Doppler ultrasound; fetal heart rate; wavelet transform; fetal activity; autocorrelation coefficient

PL

ultrasonografia Dopplera; częstość akcji serca; transformacja falkowa; aktywność płodu

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2006
• Tom: Vol. 26, no. 3
• Strony: 49--56
• Opis fizyczny: Bibliogr. 17 poz., wykr.

Twórcy

autor

Kret T.

autor

Kałużyński K.

• Institute of Precision and Biomedical Engineering, Faculty of Mechatronics, 8, św. Andrzeja Boboli, 02-525 Warsaw, Poland,

Bibliografia

• 1. Christensen F.C., Rayburn W.F.: Fetal movement counts. Obstet. Gynecol.Clin, North Am., 1999 26(4), 607-621.
• 2. Amer-Wahlin I., Hellsten C., Noren H. et al.: Cardiotocography only versus cardiotocography plus ST analysis of fetal electrocardiogram for intrapartum fetal monitoring: a Swedish randomized controlled trial. Lancet, 2001, 358(9281), 534-538.
• 3. Manning F.A., Platt L.D., Sipos L.: Antepartum fetal evaluation: development of fetal biophysical profile, Am. J. Obstet. Gynecol. 1980, 136, 787-795.
• 4. Prechtl H.F.: State of the art of a new functional assessment of the young nervous system. An early predictor of cerebral palsy. Early Hum. Dev. 1997, 50(1), 1-11.
• 5. Mc Nay M. B., Flemming J.E.E.: Forty years of obstetric ultrasound 1957-1997: from A-scope to three dimensions. Ultrasound Med. Biol. 1999, 25, 3-56.
• 6. Besinger R.E., Johnson T.R.B.: Doppler recordings of fetal movement: clinical correlation with real-time ultrasound. Obstet. Gynecol. 1989, 74, 277-280.
• 7. Kałużyński K., Berson M., Pourcelot L., Pałko T.: Detection of fetal breathing and cardiac signals and rhythms in the ultrasonic Doppler signal recorded on the surface of the maternal abdomen, Med. Biol. Eng. Comput. 1993, 31, 405-411.
• 8. Karlsson B., Foulquiere K., Kałużyński K., Tranquart F., Fignon L., Pourcelot D., Pourcelot L., Berson M.: The DOPFET system - a new ultrasonic Doppler system for monitoring and characterization of fetal movement, Ultrasound Med.Biol., 2000, 26, 7, 1117-1124.
• 9. Yamakoshi Y., Otaki H., Shinozuka N., Masuda H.: Internal tissue displacement measurement based on ultrasonic wave Doppler signal detection and its application to fetal movement monitoring, Ultrasonics, 1996b, 34, 769-775.
• 10. Kret T., Kałużyński K.: Online analysis of the ultrasonic Doppler signals of the fetal motor activity in the LabVIEW environment. Biocybernetics and Biomedical Engineering, 2004, 24, 2, 41-49.
• 11. Białasiewicz Jan. T.: Wavelets and approximations (in Polish) WNT, Warszawa 2000, 205-238.
• 12. Jafari M.G., Chambers J.A.: Fetal electrocardiogram extraction by sequential source separation in the wavelet domain IEEE Trans on Biom. Eng., 2005, 52, 3, 390-400.
• 13. Seker H., Ayadin N., Yazgan N.: Wavelet-based signal reconstruction for quadrature signals in Doppler ultrasound, 2nd Int. Biomed. Eng. Days, 1998, 60-61.
• 14. Akay M., Szeto H.H.: Investigating the relationship between fetus EEG, respiratory, and blood pressure signals during maturation using wavelet transform. Ann. Biom. Eng. 1995, 23(5), 574-582.
• 15. Divon M.Y.: Autocorrelation techniques in fetal monitoring, Am. J. Obst. Gynecol., 1985, 11, 2-6.
• 16. Muhammad I.I., Firoz A., Mohd Ali M.A., Zahedi E.: Real-Time Signal Processing for Fetal Heart Rate Monitoring IEEE Trans. on Biomed. Eng., 2003, 50, 2, 258-252.
• 17. Misiti M., Misiti Y., Oppenheim G., Poggi J.M.: Wavelet toolbox for use with Matlab® Mathworks 2000.