A Fuzzy Inference Model-based Non-reassuring Fatal Status Monitoring System

Yo-Ping Huang ； Yu-Hui Huang ； Frode-Eika Sandnes

《International Journal of Fuzzy Systems》 8卷1期 (2006/03) Pp. 57-64

https://doi.org/10.30000/IJFS.200603.0005

並列摘要

Clinical fatal examination requires thorough and continuous monitoring. Obstetricians are required to check fatal monitoring signals for anomalies. Manual processing of ultrasonic data is time-consuming and labor-intensive. To overcome this problem, a fatal status monitoring system was designed to help obstetricians detect non-reassuring fatal status. In the proposed system, the weighted average is employed to estimate the fatal heartbeat baseline and uterine contraction baseline. These baseline values allow five patterns to be recognized including heartbeat acceleration, heartbeat deceleration, uterine contraction, heartbeat noise pattern, and uterine noise pattern. Moreover, the monitoring system considers four non-reassuring fatal status types. Fuzzy logic is used to analyze the signals for each non-reassuring status type. A total of 23 fuzzy rules are used to recognize non-reassuring fatal status that triggers an alarm mechanism. Non-reassuring conditions are detected and alarm signals are sent to obstetricians for immediate treatment of the patient. The fuzzy sets can be modified and adopted to fit the requirements of individual patients. A signal simulator is used to verify the applicability of the system.

並列關鍵字

Non-reassuring fatal status ； fuzzy inference method ； fatal heart rate ； uterine pressure