Evidence map›Paper›PMID 34072770›Full record

ReviewSensors (Basel, Switzerland)2021

Energy Solutions for Wearable Sensors: A Review.

Guoguang Rong, Yuqiao Zheng, Mohamad Sawan

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Any old iron, man.Experimental physiology · 2025
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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.

Guoguang RongCenBRAIN Lab., School of Engineering, Westlake University, Hangzhou 310024, China.ORCID 0000-0001-6824-9900
Yuqiao ZhengCenBRAIN Lab., School of Engineering, Westlake University, Hangzhou 310024, China.ORCID 0000-0002-4110-4549
Mohamad SawanCenBRAIN Lab., School of Engineering, Westlake University, Hangzhou 310024, China.ORCID 0000-0002-4137-7272

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors have gained popularity over the years since they offer constant and real-time physiological information about the human body. Wearable sensors have been applied in a variety of ways in clinical settings to monitor health conditions. These technologies require energy sources to carry out their projected functionalities. In this paper, we review the main energy sources used to power wearable sensors. These energy sources include batteries, solar cells, biofuel cells, supercapacitors, thermoelectric generators, piezoelectric and triboelectric generators, and radio frequency (RF) energy harvesters. Additionally, we discuss wireless power transfer and some hybrids of the above technologies. The advantages and drawbacks of each technology are considered along with the system components and attributes that make these devices function effectively. The objective of this review is to inform researchers about the latest developments in this field and present future research opportunities.

Indexed as

Bioelectric Energy SourcesWearable Electronic DevicesHuman BodyHumansMonitoring, PhysiologicRadio Wavesbiosensorsenergy sourcesharvestershealth monitorspower solutionsscavengerswearable devices

Identifiers

PMID34072770
PMCPMC8197793

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.