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
相关论文
共 50 条
  • [1] Signal Path Loss Simulation of Human Arm for Galvanic Coupling Intra-body Communication
    Ito, Kenichi
    Hotta, Yu
    JOURNAL OF ADVANCED SIMULATION IN SCIENCE AND ENGINEERING, 2016, 3 (01): : 29 - 46
  • [2] Galvanic Coupling Type Intra-body Communication Human Body Implantable Sensor Network
    Li, Xiao-fang
    Zhang, Shuang
    ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 2, 2012, 160 : 147 - 152
  • [3] Channel Characteristics Analysis of Galvanic Coupling Intra-Body Communication
    Li, Jia Wen
    Chen, Xi Mei
    Sekar, Booma Devi
    Lam, Chan Tong
    Du, Min
    Mak, Peng Un
    Vai, Mang I.
    Gao, Yue Ming
    Pun, Sio Hang
    IEEE JOURNAL OF ELECTROMAGNETICS RF AND MICROWAVES IN MEDICINE AND BIOLOGY, 2022, 6 (03): : 364 - 372
  • [4] Simulation-based Models of the Galvanic Coupling Intra-body Communication
    Ahmed, Doaa
    Fischer, Georg
    Kirchner, Jens
    2019 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS), 2019,
  • [5] Towards Improving Performance of Galvanic Coupling Intra-Body Communication
    Wang, Meng
    Li, JiaWen
    Wan, Feng
    Huang, HuiJuan
    2015 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS), 2015,
  • [6] Channel modeling and power consumption analysis for galvanic coupling intra-body communication
    Gao, Yue Ming
    Ye, Yan Ting
    Vai, Mang I.
    Du, Min
    Pun, Sio Hang
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2016,
  • [7] Channel modeling and power consumption analysis for galvanic coupling intra-body communication
    Yue Ming Gao
    Yan Ting Ye
    Mang I Vai
    Min Du
    Sio Hang Pun
    EURASIP Journal on Wireless Communications and Networking, 2016
  • [8] The Design and Experiment of the Leg Model Based on Galvanic Coupling Intra-Body Communication
    Gao, Yueming
    Cai, Juan
    Wu, Zhumei
    Vasic, Zeljka Lucev
    Du, Min
    Cifrek, Mario
    MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, MIWAI 2015, 2015, 9426 : 306 - 313
  • [9] Characterization of the Implantable Intra-body Communication based on Capacitive Coupling by Transfer Function
    Li, Maoyuan
    Song, Yong
    Wang, Guangfa
    Hao, Qun
    Zang, Kai
    2016 10TH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST), 2016,
  • [10] Comparable Investigation of Characteristics for Implant Intra-Body Communication Based on Galvanic and Capacitive Coupling
    Li, Maoyuan
    Song, Yong
    Hou, Yongtao
    Li, Ning
    Jiang, Yurong
    Sulaman, Muhammad
    Hao, Qun
    IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2019, 13 (06) : 1747 - 1758