Evidence map›Paper›PMID 26732251›Full record

ArticleScientific reports2016

A zero power harmonic transponder sensor for ubiquitous wireless μL liquid-volume monitoring.

Haiyu Huang, Pai-Yen Chen, Cheng-Hsien Hung, Ranjit Gharpurey, Deji Akinwande

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Review on Recent Advances and Applications of Passive Harmonic RFID Systems.IEEE journal of radio frequency identification · 2023
    Article
  3. PTX-symmetric metasurfaces for sensing applications.Frontiers of optoelectronics · 2021
    Article
  4. Article
  5. Review
  6. 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.

Haiyu HuangDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.
Pai-Yen ChenDepartment of Electrical and Computer Engineering, Wayne State University, Detroit, MI 48202, United States of America.
Cheng-Hsien HungDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.
Ranjit GharpureyDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.
Deji AkinwandeDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous liquid-volume monitoring is crucial in ubiquitous healthcare. However, conventional approach is based on either human visual observation or expensive detectors, which are costly for future pervasive monitoring. Here we introduce a novel approach based on passive harmonic transponder antenna sensor and frequency hopping spread spectrum (FHSS) pattern analysis, to provide a very low cost wireless μL-resolution liquid-volume monitoring without battery or digital circuits. In our conceptual demonstration, the harmonic transponder comprises of a passive nonlinear frequency multiplier connected to a metamaterial-inspired 3-D antenna designed to be highly sensitive to the liquid-volume within a confined region. The transponder first receives some FHSS signal from an interrogator, then converts such signal to its harmonic band and re-radiates through the antenna sensor. The harmonic signal is picked up by a sniffer receiver and decoded through pattern analysis of the high dimensional FHSS signal strength data. A robust, zero power, absolute accuracy wireless liquid-volume monitoring is realized in the presence of strong direct coupling, background scatters, distance variance as well as near-field human-body interference. The concepts of passive harmonic transponder sensor, metamaterial-inspired antenna sensor, and FHSS pattern analysis based sensor decoding may help establishing cost-effective, energy-efficient and intelligent wireless pervasive healthcare monitoring platforms.

Indexed as

Models, TheoreticalRemote Sensing TechnologyWireless TechnologyAlgorithmsHumansReproducibility of Results

Identifiers

PMID26732251
PMCPMC4702130

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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.