Literature DB >> 21997285

Study of attenuation and dispersion through the skin in intrabody communications systems.

M Amparo Callejón1, Laura M Roa, Javier Reina-Tosina, David Naranjo-Hernández.   

Abstract

Intrabody communication (IBC) is a technique that uses the human body as a transmission medium for electrical signals to connect wireless body sensors, e.g., in biomedical monitoring systems. In this paper, we propose a simple, but accurate propagation model through the skin based on a distributed-parameter circuit in order to obtain general expressions that could assist in the design of IBC systems. In addition, the model is based on the major electrophysiological properties of the skin. We have found the attenuation and dispersion parameters and they have been successfully compared with several published results, thus showing the tuning capability of the model to different experimental conditions. Finally, we have evaluated different digital modulation schemes in order to assess the tradeoffs between symbol rate, bit error rate, and distance between electrodes of the skin communication channel.

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Year:  2011        PMID: 21997285     DOI: 10.1109/TITB.2011.2171702

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  4 in total

1.  Modeling and characterization of the implant intra-body communication based on capacitive coupling using a transfer function method.

Authors:  Kai Zhang; Qun Hao; Yong Song; Jingwen Wang; Ruobing Huang; Yue Liu
Journal:  Sensors (Basel)       Date:  2014-01-20       Impact factor: 3.576

2.  Study of channel characteristics for galvanic-type intra-body communication based on a transfer function from a quasi-static field model.

Authors:  Xi Mei Chen; Peng Un Mak; Sio Hang Pun; Yue Ming Gao; Chan-Tong Lam; Mang I Vai; Min Du
Journal:  Sensors (Basel)       Date:  2012-11-27       Impact factor: 3.576

3.  Investigation and Modeling of Multi-Node Body Channel Wireless Power Transfer.

Authors:  Yuxuan Huang; Jian Zhao; Wenyu Sun; Huazhong Yang; Yongpan Liu
Journal:  Sensors (Basel)       Date:  2019-12-25       Impact factor: 3.576

4.  Stochastic Bioimpedance-Based Channel Model of The Human Body for Galvanic Coupling.

Authors:  Aaron Roopnarine; Sean A Rocke
Journal:  J Electr Bioimpedance       Date:  2021-12-27
  4 in total

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