Evidence map›Paper›PMID 36671872›Full record

ReviewBiosensors2022

Recent Advances in Self-Powered Wearable Sensors Based on Piezoelectric and Triboelectric Nanogenerators.

Arash Rayegani, Mohammadmohsen Saberian, Zahra Delshad, Junwei Liang, Muhammad Sadiq, Ali Matin Nazar, Syed Agha Hassnain Mohsan, Muhammad Asghar Khan

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. State-of-the-Art Power Transfer Methods in Triboelectric Energy Harvesters.IEEE circuits and systems magazine (New York, N.Y. : 2001)
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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

8 authors.

Arash RayeganiDepartment of Civil Engineering, Sharif University of Technology, Tehran 1458889694, Iran.ORCID 0000-0001-7932-7038
Mohammadmohsen SaberianDepartment of Computer Science and Engineering, Qatar University, Doha P.O. Box 2713, Qatar.
Zahra DelshadDepartment of Nursing, Kashan Branch, Islamic Azad University, Kashan 8715998151, Iran.
Junwei LiangCollege of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China.
Muhammad SadiqShenzhen Institute of Information Technology, Shenzhen 518172, China.
Ali Matin NazarThe Zhejiang University-University of Illinois at Urbana-Champaign Institute, Zhejiang University, Haining 314400, China.ORCID 0000-0001-6303-3764
Syed Agha Hassnain MohsanOptical Communications Laboratory, Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China.ORCID 0000-0002-5810-4983
Muhammad Asghar KhanHamdard Institute of Engineering and Technology, Hamdard University, Islamabad 700081, Pakistan.ORCID 0000-0002-1351-898X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early clinical diagnosis and treatment of disease rely heavily on measuring the many various types of medical information that are scattered throughout the body. Continuous and accurate monitoring of the human body is required in order to identify abnormal medical signals and to locate the factors that contribute to their occurrence in a timely manner. In order to fulfill this requirement, a variety of battery-free and self-powered methods of information collecting have been developed. For the purpose of a health monitoring system, this paper presents smart wearable sensors that are based on triboelectric nanogenerators (TENG) and piezoelectric nanogenerators (PENG), as well as hybrid nanogenerators that combine piezoelectric and triboelectric nanogenerators (PTNG). Following the presentation of the PENG and TENG principles, a summary and discussion of the most current developments in self-powered medical information sensors with a variety of purposes, structural designs, and electric performances follows. Wearable sensors that generate their own electricity are crucial not only for the proper development of children and patients with unique conditions, but for the purpose of maintaining checks on the wellbeing of the elderly and those who have recently recovered from illness, and for administering any necessary medical care. This work sought to do two things at once: provide perspectives for health monitoring, and open up new avenues for the analysis of long-distance biological movement status.

Indexed as

Electric Power SuppliesWearable Electronic DevicesAgedChildElectricityHumanspiezoelectric nanogenerators (PENG)self-powered wearable sensorstriboelectric nanogenerators (TENG)

Identifiers

PMID36671872
PMCPMC9855384

What OpenQuestion holds

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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.