Affiliations: [a] Chengdu Technological University, Chengdu, Sichuan 611731, China | [b] School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China | [c] High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Chengdu, Sichuan 611731, China | [d] Key Laboratory for NeuroInformation of the Ministry of Education, Chengdu, Sichuan 611731, China | [e] Data Recovery Key Laboratory of Sichuan Province, College of Computer Science and AI, Neijiang Normal University, Neijiang, Sichuan 641100, China
Correspondence:
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Corresponding author: Shuang Zhang, Data Recovery Key Laboratory of Sichuan Province, College of Computer Science and AI, Neijiang Normal University, Neijiang, Sichuan 641100, China. E-mail: zhangshuanghua1@126.com.
Abstract: BACKGROUND: Deep brain stimulation is a method of nerve regulation that uses human body conductance characteristics; signals are diffused and transmitted through human tissues to regulate diseases. OBJECTIVE: We analyzed the distribution and the transmission mechanism of implantable electrical signals from a point source field in the human body using the point source field implanting channel model. METHODS: The model was established using a mathematical modeling method, with reasonable boundary conditions and assumptions. Further, we established an equivalent numerical solution model to verify its accuracy and compared the model to published experimental results to evaluate its consistency. RESULTS: The analysis results of the two models revealed that both had errors of < 1%. A comparison of the experimental results to published experimental data revealed that the error between the two was < 4 dB, and the model displayed excellent consistency. CONCLUSIONS: Our proposed model is accurate and exhibits good consistency with published experimental results. We therefore conclude that the proposed model is reliable.
Keywords: Deep brain stimulation, body conduction communication, implantable, point source field
