確率ニューラルネットを利用したオンライン血液循環状態診断支援システムの開発

概要

論文の詳細を見る
This paper proposes a diagnosis support system to discriminate the conditions of blood circulation from biological signals by using a probabilistic neural network. Since the blood circulation varies according to vascular conditions, first, we analyze vascular features including biological signals. Then, the dynamic characteristics of an arterial wall are modeled by using mechanical impedance, and the impedance parameters are estimated beat-to-beat. Finally, it is shown that this system can be utilized for some surgical operations, and the conditions of blood circulation can be discriminated with high accuracy using the proposed method.
日本医療機器学会の論文
2006-01-01