Evidence map›Paper›PMID 31387246›Full record

ArticleSensors (Basel, Switzerland)2019

Low-Cost and Highly Sensitive Wearable Sensor Based on Napkin for Health Monitoring.

Liping Xie, Peng Chen, Shuo Chen, Kun Yu, Hongbin Sun

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

6 citing papers in PubMed, 37 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Liping XieCollege of Medicine and Biological Information Engineering, Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Northeastern University, Shenyang 110169, China. xielp@bmie.neu.edu.cn.
Peng ChenSchool of Chemical and Biomedical Engineering, Innovative Centre for Flexible Devices, Nanyang Technological University, Singapore 637459, Singapore.
Shuo ChenCollege of Medicine and Biological Information Engineering, Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Northeastern University, Shenyang 110169, China.ORCID 0000-0003-3893-715X
Kun YuCollege of Medicine and Biological Information Engineering, Engineering Research Center of Medical Imaging and Intelligent Analysis, Ministry of Education, Northeastern University, Shenyang 110169, China.
Hongbin SunDepartment of Chemistry, Northeastern University, Shenyang 110819, China.
Northeastern University · CNNanyang Technological University · SG

Funding

China Scholarships Council 201806085052Fundamental Research Funds for the Central Universities N172410002-05National Natural Science Foundation of China No.81501556, No.31770147, No.61605025, No.21872020
6 · The paper itself

Abstract

The development of sensors with high sensitivity, good flexibility, low cost, and capability of detecting multiple inputs is of great significance for wearable electronics. Herein, we report a napkin-based wearable capacitive sensor fabricated by a novel, low-cost, and facile strategy. The capacitive sensor is composed of two pieces of electrode plates manufactured by spontaneous assembly of silver nanowires (NWs) on a polydimethylsiloxane (PDMS)-patterned napkin. The sensor possesses high sensitivity (>7.492 kPa

Indexed as

Wearable Electronic DevicesBlinkingDimethylpolysiloxanesFingersHeart RateHumansMonitoring, PhysiologicNanowiresSilverbaysilonDimethylpolysiloxanesSilvercapacitive sensorhighly sensitivenapkin tissuewearablewrist pulse

Identifiers

PMID31387246
PMCPMC6695873
OpenAlexW2964899339

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.