Abstract

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Title:: Signal transmission mechanism of miniature implantable medical electronic devices

Author(s):: ZHANG Shuang1; 2; 3; YU Yuanyu1; WANG Jiujiang1; YANG Jining1; ZHANG Tao2; 3; 1. School of Artificial Intelligence, Neijiang Normal University, Neijiang 641100, China 2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China 3. High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, China

Keywords:: Keywords: miniature implantable medical electronic device signal transmission mechanism intrabody conduction communication point source field

Abstract:: Abstract: Miniature implantable medical electronic devices are a kind of miniature medical equipments embedded in human body for a long time and used for monitoring the physiological characteristics. In order to study how to use electrical signals to realize the communication between the implanted device and the detection equipment on the body surface, and to analyze the signal transmission mechanism, mathematical modeling method is used to establish an intrabody conduction communication channel model of miniature implantable medical electronic device by setting reasonable boundary conditions and assumptions. An equivalent numerical solution model is also established for verifying the accuracy of the solution of the proposed model. The analysis on the results of intrabody conduction communication channel model and numerical solution model shows that the error between them is less than 1%. Moreover, the experimental data in the references are selected to verify the consistency of the intrabody conduction communication channel model and the experimental results. By comparing the experimental results and model calculation results, it is concluded that the error between the solution of the model and the experimental results is less than 4 dB, with good consistency. The solution of the model is proved to be accurate, and there is a good consistency between the model results and the experimental results.