Evidence map›Paper›PMID 35260661›Full record

ArticleScientific reports2022

A self-powered wireless motion sensor based on a high-surface area reverse electrowetting-on-dielectric energy harvester.

Nishat T Tasneem, Dipon K Biswas, Pashupati R Adhikari, Avinash Gunti, Adnan B Patwary, Russell C Reid, Ifana Mahbub

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nishat T TasneemDepartment of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA. nishattarannumtasneem@my.unt.edu.
Dipon K BiswasDepartment of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA.
Pashupati R AdhikariDepartment of Mechanical Engineering, University of North Texas, Denton, TX, 76201, USA.
Avinash GuntiDepartment of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA.
Adnan B PatwaryDepartment of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA.
Russell C ReidDepartment of Engineering, Dixie State University, St. George, UT, 84770, USA.
Ifana MahbubDepartment of Electrical Engineering, University of North Texas, Denton, TX, 76201, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a motion-sensing device with the capability of harvesting energy from low-frequency motion activities. Based on the high surface area reverse electrowetting-on-dielectric (REWOD) energy harvesting technique, mechanical modulation of the liquid generates an AC signal, which is modeled analytically and implemented in Matlab and COMSOL. A constant DC voltage is produced by using a rectifier and a DC-DC converter to power up the motion-sensing read-out circuit. A charge amplifier converts the generated charge into a proportional output voltage, which is transmitted wirelessly to a remote receiver. The harvested DC voltage after the rectifier and DC-DC converter is found to be 3.3 V, having a measured power conversion efficiency (PCE) of the rectifier as high as 40.26% at 5 Hz frequency. The energy harvester demonstrates a linear relationship between the frequency of motion and the generated output power, making it highly suitable as a self-powered wearable motion sensor.

Indexed as

ElectricityElectrowettingElectric Power SuppliesEquipment DesignMotion

Identifiers

PMID35260661
PMCPMC8904818

What OpenQuestion holds

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LicenceCC BY
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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.