Analysis and fitting of a thorax path loss based on implantable galvanic coupling intra-body communication

被引:0
|
作者
Zhang S. [1 ,2 ,3 ,4 ]
Li Y. [1 ]
Yu Y. [1 ,4 ]
Kuang J.-M. [1 ,4 ]
Yang J. [1 ,4 ]
Wang J. [1 ,4 ]
Liu Y. [1 ,4 ]
机构
[1] Data Recovery Key Laboratory of Sichuan Province, College of Computer Science & AI, Neijiang Normal University, Neijiang, Sichuan
[2] School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan
[3] High Field Magnetic Resonance Brain Imaging Laboratory of Sichuan, Neijiang Normal University, Chengdu, Sichuan
[4] BeiDou & Wisdom Medical Doctor Workstation, Neijiang Normal University, Neijiang, Sichuan
关键词
Body-Area Network (BAN); Implantable communication; Intra-body communication; Path loss; Thorax;
D O I
10.2174/2666255813999200831110505
中图分类号
R4 [临床医学]; R318 [生物医学工程]; Q81 [生物工程学(生物技术)];
学科分类号
0831 ; 0836 ; 090102 ; 1002 ; 100602 ;
摘要
Objective: The aim of this research was to study the channel transmission characteristics of living and dead animal bodies and signal path loss characteristics of implantable communication in the axial direction. Methods: By injecting fentanyl citrate injection solution, we kept the research object (a piglet) in a comatose state and then a death state, so as to analyze the channel characteristics in each state. To analyze channel gain when using an implantable device with a fixed implantation depth and varying the axial distance, we proposed an implantable two-way communication path loss model. Results: Comparing the living-body and dead-body results showed that the channel gain difference was approximately 10dB for the same position and distance, heartbeat, pulse and breathing of the living animal contributed approximately 1dB of noise. Analyzing the calculated and experimental results of the path loss model showed that the determination correlation coefficients of the model were 0.999 and 0.998, respectively. The model prediction result and the experimental verification result also agreed closely. Conclusion: The path loss model not only fits the experimental results but also has better predictabil-ity for those positions not measured. © 2021 Bentham Science Publishers.
引用
收藏
页码:969 / 974
页数:5
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