Aims: Since pattern classification of fetal heart rate (FHR) was subjective and\nenlarged interobserver difference, objective FHR analysis was achieved with computerized\nFHR diagnosis. Methods: The computer algorithm was composed of an experts� knowledge\nsystem, including FHR analysis and FHR score calculation, and also of an objective artificial\nneural network system with software. In addition, a FHR frequency spectrum was studied to\ndetect ominous sinusoidal FHR and the loss of baseline variability related to fetal brain\ndamage. The algorithms were installed in a central-computerized automatic FHR monitoring\nsystem, which gave the diagnosis rapidly and directly to the attending doctor. Results:\nClinically perinatal mortality decreased significantly and no cerebral palsy developed after\nintroduction of the centralized system. Conclusion: The automatic multichannel FHR\nmonitoring system improved the monitoring, increased the objectivity of FHR diagnosis and\npromoted clinical results.
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