ファジィロジックを用いた肺エラスタンス推定におけるアントコロニー最適化法について

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  • Consideration about the ant colony optimization in the fuzzy estimation of the pulmonary elastance
  • ファジィロジック オ モチイタ ハイ エラスタンス スイテイ ニ オケル アントコロニー サイテキ カホウ ニ ツイテ

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The characteristic of pulmonary is different, and the setting of the respirator is decided by the experience and the perception of the doctor now. Therefore, the suitable setting of ventilation conditions is needed for every patient. The static P-V curve expresses the characteristic of human lungs, and that is needed for the parameter setting of the respirator. Thus we must estimate the pulmonary elastance and the static P-V curve. In our previous work, the fuzzy logic technique has been proposed to estimate the pulmonary elastance that is a nonlinear function by fuzzy combination of first order functions. However, manual operation is needed to set suitable range of the fuzzy variables in this technique. In this paper, an optimization algorithm is proposed for fuzzy variables's range setting, and the effectiveness of the suggested technique is illustrated by an estimation example using real patient data.

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