Evidence map›Paper›PMID 28885546›Full record

ArticleSensors (Basel, Switzerland)2017

An Energy Efficient Technique Using Electric Active Shielding for Capacitive Coupling Intra-Body Communication.

Chao Ma, Zhonghua Huang, Zhiqi Wang, Linxuan Zhou, Yinlin Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chao MaSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. 20081124@bit.edu.cn.
Zhonghua HuangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. huangzh@bit.edu.cn.
Zhiqi WangSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. wangzhiqi@bit.edu.cn.
Linxuan ZhouThe Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. charlesz@vt.edu.
Yinlin LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China. liyinlin@bit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Capacitive coupling intra-body communication (CC-IBC) has become one of the candidates for healthcare sensor networks due to its positive prevailing features of energy efficiency, transmission rate and security. Under the CC-IBC scheme, some of the electric field emitted from signal (SIG) electrode of the transmitter will couple directly to the ground (GND) electrode, acting equivalently as an internal impedance of the signal source and inducing considerable energy losses. However, none of the previous works have fully studied the problem. In this paper, the underlying theory of such energy loss is investigated and quantitatively evaluated using conventional parameters. Accordingly, a method of electric active shielding is proposed to reduce the displacement current across the SIG-GND electrodes, leading to less power loss. In addition, the variation of such loss in regard to frequency range and positions on human body was also considered. The theory was validated by finite element method simulation and experimental measurement. The prototype result shows that the receiving power has been improved by approximate 5.5 dBm while the total power consumption is maximally 9 mW less using the proposed technique, providing an energy efficient option in physical layer for wearable and implantable healthcare sensor networks.

Indexed as

Electric CapacitanceComputer SimulationElectric ImpedanceElectrodesHumansReproducibility of ResultsTelemetrycapacitive couplingelectric active shieldingenergy efficiencyfinite element method (FEM)intra-body sensor networks

Identifiers

PMID28885546
PMCPMC5621024

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.