Literature DB >> 2572480

Microprocessor based waveform analysis of the fetal electrocardiogram during labor.

H Lilja1, K Karlsson, K Lindecrantz, K G Rosén.   

Abstract

An increase in T wave amplitude of the fetal ECG (FECG) has experimentally been correlated to elevated catecholamine levels and myocardial glycogenolysis. The FECG changes have also been described during human delivery. The present aim was to investigate whether these ECG changes could be reproduced in an easily handled real time microprocessor system, and to correlate them to biochemical and clinical data. During 40 deliveries the FECG signal was transferred to a microcomputer system for real time averaging of the FECG. There was a high capacity of the system to reproduce the ST waveform changes though the averaging procedure reduced the QRS magnitude by 10%. With a normal umbilical artery pH (greater than or equal to 7.25) the highest T/QRS ratios recorded during each delivery was 0.26 +/- 0.19 (mean +/- S.D.). With lowered pH (less than 7.25) the T/QRS increased to 0.33 +/- 0.10 (P less than 0.02). A similar difference between the two groups was seen when the T/QRS ratios from the last hour before birth were compared; 0.13 +/- 0.08 and 0.18 +/- 0.05, respectively (P less than 0.01). Changes in the ST waveform with T/QRS greater than or equal to 0.30, ST segment alterations, or negative T waves appeared during 40% of the deliveries, however, 30% were short standing changes (less than 30 min). Intermediate CTG changes during at least 30 min occurred in 41% and the pattern was classified as abnormal in 18%. Using the scalp electrode as signal source, the ECG analysis could add further information to the routine CTG recording on the fetal condition during delivery.

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Year:  1989        PMID: 2572480     DOI: 10.1016/0020-7292(89)90304-4

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  2 in total

1.  Extraction of fetal electrocardiogram using H(infinity) adaptive algorithms.

Authors:  Sadasivan Puthusserypady
Journal:  Med Biol Eng Comput       Date:  2007-08-21       Impact factor: 2.602

2.  Detection and Processing Techniques of FECG Signal for Fetal Monitoring.

Authors:  M A Hasan; M B I Reaz; M I Ibrahimy; M S Hussain; J Uddin
Journal:  Biol Proced Online       Date:  2009-03-27       Impact factor: 3.244

  2 in total

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