Literature DB >> 3221296

Interpretation of the fetal ECG during labor: the effect of uterine contractions.

I Thaler1, I E Timor, I Goldberg.   

Abstract

This study was performed in order to investigate the fetal electrocardiogram (FECG) during uterine contractions associated with normal labor. Twenty-five patients with low risk pregnancy between 38-41 weeks gestation were studied during the active stage of labor. Both FECG and intra-uterine pressure are obtained in a conventional manner and are continually sampled into the computer. The FECG is averaged point-to-point, synchronized to the peak of the R-wave. This is performed by a QRS detection algorithm which is based on a digital analysis of slope, amplitude and width. A digital band-pass filter composed of cascaded high-pass and low-pass filters reduces false detections and permits the use of auto-adjustable low thresholds. A separate averaging is performed on the T-wave in order to prevent attenuation due to variable R-T interval. The T wave is subsequently aligned in time and position to the rest of the QRS complex. A significant increase was observed in the T/QRS amplitude ratio during the first half of the uterine contraction. Such an increase was also observed in the short and long-term FHR variability. No significant changes were observed in the other components of the FECG. In conclusion, by implementing a computer based system it is possible to analyse the FECG during labor. Based on this and previous studies it may well prove to be a sensitive indicator of fetal condition.

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Year:  1988        PMID: 3221296     DOI: 10.1515/jpme.1988.16.4.373

Source DB:  PubMed          Journal:  J Perinat Med        ISSN: 0300-5577            Impact factor:   1.901


  2 in total

1.  Adaptive rule based fetal QRS complex detection using Hilbert transform.

Authors:  Umit D Ulusar; R B Govindan; James D Wilson; Curtis L Lowery; Hubert Preissl; Hari Eswaran
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

2.  Integrated approach for fetal QRS detection.

Authors:  James D Wilson; R B Govindan; Jeff O Hatton; Curtis L Lowery; Hubert Preissl
Journal:  IEEE Trans Biomed Eng       Date:  2008-09       Impact factor: 4.538

  2 in total

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