Modeling of sectionally continuous communication channel with inhomogeneously distributed tissues

Article type: Research Article

Authors: Zhang, Shuang^{a; b; d; e; 1} | Qin, Yu-Ping^{a; b; 1} | Kuang, Jiang-Ming^{a; b} | Liu, Yi-He^{a; 1} | Yang, Ji-Ning^{a; b} | Yin, Fu-Cheng^{c; f; *}

Affiliations: [a] College of Computer Science, Neijiang Normal University, Neijiang, Sichuan, China | [b] The Engineering and Technical College of Chengdu University of Technology, Leshan, Sichuan, China | [c] School of Maths and Information Science, Neijiang Normal University, Neijiang, Sichuan, China | [d] The State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau SAR, China | [e] The Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China | [f] Data Recovery Key Laboratory of Sichuan, Neijiang Normal University, Neijiang, Sichuan, China

Correspondence: [*] Corresponding author: Fu-Cheng Yin, School of Maths and Information Science, Neijiang Normal University, Neijiang, Sichuan, China.

Note: [1] Authors who made equal contributions.

Abstract: BACKGROUND: This study aimed to investigate effects on the transmission channel caused by heterogeneous distribution in tissues and joint characteristics. METHOD: Human arm section scans were taken using CT technology, and zoned, following which, a circumference measurement experiment was performed to analyze the effect of inhomogeneous distribution of tissues. In order to analyze the arm joint’s effect on channel transmission, we proposed a piecewise modeling method in combination with connection conditions. CONCLUSIONS: It can be seen from the experiment that, in the quasi-static mode, the communication channel error caused by the inhomogeneous distribution of tissues is small enough to be negligible. The error between calculated and experimental results is reduced by 3.93 dB in this experiment relative to models that did not include joint characteristics, and the average error is lowered by 0.73 dB. The variation curve fit to experimental data is also improved in this method. As such, it can be quantitatively determined that a channel model with joint characteristics is superior to models excluding joint characteristics.

Keywords: Inhomogeneous distribution, quasi-static, communication channel, joint

DOI: 10.3233/THC-170882

Journal: Technology and Health Care, vol. 25, no. 6, pp. 1097-1104, 2017