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  • Title: Electrical activity of the human uterus during pregnancy as recorded from the abdominal surface.
    Author: Buhimschi C, Boyle MB, Garfield RE.
    Journal: Obstet Gynecol; 1997 Jul; 90(1):102-11. PubMed ID: 9207823.
    Abstract:
    OBJECTIVE: To validate the possibility that human uterine electrical events (electromyographic signals) can be recorded and characterized from the abdominal surface during pregnancy. METHODS: The gestational ages ranged from 20 to 43 weeks. The study included patients at term but not in labor, patients in active labor (term and preterm), postpartum patients, and patients followed monthly during their pregnancy (n = 40). Uterine electrical activity in the frequency range of 0.3-50 Hz was recorded using bipolar electrodes placed on the abdominal surface. In some patients, intrauterine pressure also was measured. Power spectral analysis was performed using the fast Fourier transform. RESULTS: Throughout most of pregnancy, uterine electrical activity was minimal, consisting of infrequent and low-amplitude electromyographic bursts. When bursts occurred before labor, they often corresponded to perceptions of contractility by the patient. During term and preterm labor, bursts of electromyographic activity were frequent and of large amplitude and were correlated with large transient changes in the intrauterine pressure and with pain. Fast Fourier transform analysis of the bursts during active term labor demonstrated a peak frequency of 0.71 +/- 0.05 Hz, compared with 0.48 +/d- 0.03 Hz before labor. Spectral analysis also showed a fivefold increase in the peak energy levels of the bursts during term labor (60.2 +/- 13.87 mu Vs) and preterm labor (62.3 +/- 22.93 mu Vs) compared with earlier in gestation (11.36 +/- 4.03 mu Vs at 27-36 weeks; P < .05). CONCLUSION: Recording of uterine electromyographic activity from the abdominal surface is a reliable method to follow the evolution of uterine contractility during pregnancy and during term and preterm labor. Further studies will define the usefulness of this noninvasive technology in the prediction and management of labor.
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