Algorithms for Computerized Fetal Heart Rate Diagnosis with Direct Reporting

Autor: Kazuo Maeda, Yasuaki Noguchi, Masaji Utsu, Takashi Nagassawa
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Algorithms, Vol 8, Iss 3, Pp 395-406 (2015)
Druh dokumentu: article
ISSN: 1999-4893
DOI: 10.3390/a8030395
Popis: 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.
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