Evidence map›Paper›PMID 30959937›Full record

ArticleSensors (Basel, Switzerland)2019

Detection of Physiological Signals Based on Graphene Using a Simple and Low-Cost Method.

Liping Xie, Xingyu Zi, Qingshi Meng, Zhiwen Liu, Lisheng Xu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Liping XieSchool of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110819, China. xielp@bmie.neu.edu.cn.
Xingyu ZiSchool of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110819, China. zi_xingyu@163.com.
Qingshi MengAerospace Engineering, Shenyang Aerospace University, Shenyang 110136, China. mengqingshi@hotmail.com.ORCID 0000-0002-8187-7028
Zhiwen LiuAerospace Engineering, Shenyang Aerospace University, Shenyang 110136, China. zhiwenliu86@163.com.
Lisheng XuSchool of Sino-Dutch Biomedical and Information Engineering, Northeastern University, Shenyang 110819, China. xuls@bmie.neu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities N161904002Fundamental Research Funds for the Central Universities No. N172008008National Natural Science Foundation of China 31770147National Natural Science Foundation of China 61374015National Natural Science Foundation of China 61773110National Natural Science Foundation of China 81501556The financial support from the program of China Scholarships Council 201806085052
6 · The paper itself

Abstract

Despite that graphene has been extensively used in flexible wearable sensors, it remains an unmet need to fabricate a graphene-based sensor by a simple and low-cost method. Here, graphene nanoplatelets (GNPs) are prepared by thermal expansion method, and a sensor is fabricated by sealing of a graphene sheet with polyurethane (PU) medical film. Compared with other graphene-based sensors, it greatly simplifies the fabrication process and enables the effective measurement of signals. The resistance of graphene sheet changes linearly with the deformation of the graphene sensor, which lays a solid foundation for the detection of physiological signals. A signal processing circuit is developed to output the physiological signals in the form of electrical signals. The sensor was used to measure finger bending motion signals, respiration signals and pulse wave signals. All the results demonstrate that the graphene sensor fabricated by the simple and low-cost method is a promising platform for physiological signal measurement.

Indexed as

Biosensing TechniquesGraphiteGraphitegraphenephysiological signalsresistancesensorsthermal expansion

Identifiers

PMID30959937
PMCPMC6480221

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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.