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Algorithms 2015, 8(3), 395-406; doi:10.3390/a8030395

Algorithms for Computerized Fetal Heart Rate Diagnosis with Direct Reporting

1
Department of Obstetrics and Gynecology (Emeritus), Tottori University Medical School, 3-125, Nadamachi, Yonago, Tottoriken 683-0835, Japan
2
Department of Applied Physics, National Defence Academy, Yokosuka, 239-0811 Japan
3
Department of Obstetrics and Gynecology, Seirei Mikatahara Hospital, Hamamatsu 433-8558, Japan
4
Department of Information Technology, TOITU Ltd., Tokyo144-0033, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Tak-Wah Lam
Received: 28 May 2015 / Revised: 5 June 2015 / Accepted: 15 June 2015 / Published: 29 June 2015
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Abstract

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. View Full-Text
Keywords: fetus; heart rate; fetal movement; experts’ knowledge system; artificial neural network system; frequency analysis; algorithm fetus; heart rate; fetal movement; experts’ knowledge system; artificial neural network system; frequency analysis; algorithm
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Maeda, K.; Noguchi, Y.; Utsu, M.; Nagassawa, T. Algorithms for Computerized Fetal Heart Rate Diagnosis with Direct Reporting. Algorithms 2015, 8, 395-406.

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