Evidence map›Paper›PMID 32722072›Full record

ArticleMaterials (Basel, Switzerland)2020

Wearable Textile UHF-RFID Sensors: A Systematic Review.

Chengyang Luo, Ignacio Gil, Raúl Fernández-García

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 52 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

3 authors at 1 institution in 1 country.

Chengyang LuoDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0000-0003-1833-5733
Ignacio GilDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0000-0002-7175-5756
Raúl Fernández-GarcíaDepartment of Electronic Engineering, Universitat Politecnica de Catalunya, 08222 Barcelona, Spain.ORCID 0000-0002-4030-7256
Universitat Politècnica de Catalunya · ES

Funding

Ministerio de Ciencia, Innovación y Universidades TEC2016-79465-R
6 · The paper itself

Abstract

Textile radio-frequency identification operating in ultra-high frequency (UHF-RFID) sensors based on different scenarios are becoming attractive with the forthcoming internet of things (IoT) era and aging society. Compared with conventional UHF-RFID sensors, textile UHF-RFID sensors offer the common textile features, light weight, washability and comfort. Due to the short time and low level of development, researches on the integration of textile UHF-RFID techniques and textile sensing techniques are not flourishing. This paper is motivated by this situation to identify the current research status. In this paper, we provide a systematic review of the fundamentals of textile UHF-RFID sensors techniques, materials, the brief history and the state-of-the-art of the scenario-based development through detailed summary and analysis on the achievements from the starting year of 2004 to the present time. Moreover, according to the analysis, we give a proposal of the future prospects in several aspects, including the new materials and manufacturing processes, machine learning technology, scenario-based applications and unavoidable reliability.

Indexed as

radio frequency identification (RFID)scenario-basedtextileUHF-RFID sensorsultra-high frequency (UHF)

Identifiers

PMID32722072
PMCPMC7435827
OpenAlexW3044638216

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.