Algorithms for Computerized Fetal Heart Rate Diagnosis with Direct Reporting

• Main Authors: Kazuo Maeda, Yasuaki Noguchi, Masaji Utsu, Takashi Nagassawa
• Format: Article
• Language: English
• Published: MDPI AG 2015-06-01
• Series: Algorithms
• Subjects: fetus; heart rate; fetal movement; experts’ knowledge system; artificial neural network system; frequency analysis; algorithm
• Online Access: http://www.mdpi.com/1999-4893/8/3/395

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