JACIII Vol.20 No.1 pp. 33-40
doi: 10.20965/jaciii.2016.p0033


Fuzzified Evaluation of Cardiotocography Data for Real Medical Data

Yutaka Hatakeyama, Hiromi Kataoka, Noriaki Nakajima, Teruaki Watabe, and Yoshiyasu Okuhara

Center of Medical Information Science, Kochi University Medical School
Oko-cho Kohasu, Nankoku-shi, Kochi 783-8505, Japan

February 2, 2015
September 29, 2015
Online released:
January 19, 2016
January 20, 2016
cardiotocography (CTG), fuzzy inference, particle filter

Level evaluation system in cardiotocography (CTG) taken in the real medical practice is constructed for the use of e-learning materials. The system consists of 3 parts, preprocessing for FHR by particle filter, extraction process of deceleration information, and level evaluation. The extraction and evaluation processes are executed by fuzzy inference. To check the effectiveness of the proposed system, level evaluation experiments are executed for the real CTG data extracted from records at the Kochi Medical School hospital. The experimental results show that the extracted CTG features are suitable for the material, and that the calculated level of the patients with abnormal pH value is evaluated as abnormal situations. The proposed system can provide the possible data for the materials for evaluation learning of real CTG.

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Last updated on Mar. 28, 2017