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RISS 인기검색어
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- 저자 : Kikkawa Takamaro (검색결과 1 건)
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Li Qinwei,Xia Xiao,Kikkawa Takamaro 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.4
A method of improving the resolution of the detected blood glucose level by using the microwave detection technique is proposed in this paper. In this proposed method, the matrix pencil method and the artifi cial neural network are combined to help improve the resolution of the detected blood glucose level. The matrix pencil method is applied to extract the poles of the received microwave signals. And the artifi cial neural network which is very popular in the artifi cial intelligence fi eld in recent years is also utilized to help distinguish the blood glucose level by training the poles extracted from the received signals. The reliability of the method is checked by establishing an earlobe model which is more realistic than it is in the former research. The mean error between the real blood glucose level and the detected blood glucose can be 0.09957% which is minor than 0.1%. The correctness of the method is testifi ed by successfully detecting the blood glucose level with the precision of 1 mg/dl. The UWB microwave detection system can satisfy the detection of the normal range of the plasma glucose level 70–240 mg/dl.
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