Literature DB >> 24232628

Capacitive-coupling-based information transmission system for implantable devices: investigation of transmission mechanism.

Kenji Shiba, Naomichi Enoki.   

Abstract

Many medical electronic devices that can be implanted deep inside the body have been developed recently. These devices are designed to transmit the information that is collected inside the body to receiving antennas outside the body. In this work, we examine a method that uses a high-frequency current in the transmitting electrodes of the implanted device for the transmission of information to receiving electrodes attached to the body surface. To investigate the transmission mechanism and the factors that determines the optimum frequency, the output voltage V2 and the input and output impedance ( Zin and Zout) were analyzed by conducting a finite-difference time-domain electromagnetic simulation. The results clearly show that the receiving part (electrodes and wire), including biological tissue, acts as a loop antenna. The maximum V2 value was obtained at the first parallel resonance frequency of Zout at 370 MHz under a load resistance of 1 MΩ. In contrast, the output current of the source increased at the series resonance frequency of Zin. The series resonance frequency could be adjusted to move a target frequency by adding an inductance between the source and the transmitting electrodes.

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Year:  2013        PMID: 24232628     DOI: 10.1109/TBCAS.2012.2237516

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  2 in total

1.  Development of a battery-free ultrasonically powered functional electrical stimulator for movement restoration after paralyzing spinal cord injury.

Authors:  Monzurul Alam; Shuai Li; Rakib Uddin Ahmed; Yat Man Yam; Suman Thakur; Xiao-Yun Wang; Dan Tang; Serena Ng; Yong-Ping Zheng
Journal:  J Neuroeng Rehabil       Date:  2019-03-08       Impact factor: 4.262

2.  Investigation of implantable signal transmission characteristics based on visible data of the human leg.

Authors:  Yue-Ming Gao; Yan-Ting Ye; Shi Lin; Željka Lučev Vasić; Mang-I Vai; Min Du; Mario Cifrek; Sio-Hang Pun
Journal:  Biomed Eng Online       Date:  2017-07-04       Impact factor: 2.819

  2 in total

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