*Corresponding author:Kazuo Maeda, Honorary professor, Obstetrics & Gynecology, Tottori University, 3-125 Nadamachi, Yonago, Tottoriken, 683- 0835, Japan
Received: May 31, 2018; Published: June 15, 2018
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Aims: To automatically diagnose intrapartum fetal heart rate (FHR).
Methods: Initial system was composed of HP2100A minicomputer with core memory, AD converter, puncher/reader of paper tape and Teletype keyboard/printer, where software was an expert’s system diagnosing baseline tachy- or bradycardia, deceleration patterns and baseline variability. CTG data were punched paper tape and reproduced by its reader to analyze, due to poor capacity of core memory, which was only 4 kbytes. Next system was composed of microcomputer tips (MT-140) with small printer. Final one was a parallelcomputers for central system with 50 channel time sharing system, composed of experts knowledge, FHR score,which predict Apgar score, artificial neural network, which predict fetal outcome, and baseline frequency spectrum, which diagnose ominous sinusoidal FHR, which prepared doctor direct reporting system.
Results: Perinatal mortality reduced and cerebral palsy was zero, in the multiple system.
Future: Single parturient woman monitoring computer is planning, which includes FHR score, frequency spectrum and novel hypoxia index, by which infantile cerebral palsy is prevented, and direct reporting system.
Keywords: Fetus; Labor; Automatic Diagnosis; FHR; Computer; Past to Future
Abbreviations: FHR: Fetal Heart Rate; MT-140: Microcomputer Tips; HI: Hypoxia Index