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Time series analysis of human fetal breathing activity at 30 39 weeks gestation



Time series analysis of human fetal breathing activity at 30 39 weeks gestation



Journal of Biomedical Engineering 2(2): 108-112



Healthy human fetuses (31) were each observed with a real-time scanner continuously for 24 h. The percentage of time spent breathing was computed for each 5 min observation period during the 24 h which produced a time series of 288 observations for each fetus. Box-Jenkins modelling techniques and analysis of frequency spectrum distribution were used to quantify mathematically the human fetal breathing data. The data was described mathematically by a 1st-order auto-regression z(t) [log of time spent breathing during the t time period] = 0.7 z(t - 1) + .epsilon.(t) [1 of a sequence of white noise or uncorrelated random variables] which confirmed and quantified the episodic nature of fetal breathing activity. Evaluation of the spectral distribution of the fetal breathing movements identified a significant band of pseudo-periodic components with repeat periods of 100-500 min (P < 0.001). Apparently, occurrence of fetal breathing movements were nonrandom. Box-Jenkins modelling results and spectral power distribution may be useful in identification and description of any fetal breathing patterns which differ from normal patterns.

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Accession: 006808633

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PMID: 7374114


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