Evidence map›Paper›PMID 38202897›Full record

ReviewSensors (Basel, Switzerland)2023

Recent Progress of Wearable Triboelectric Nanogenerator-Based Sensor for Pulse Wave Monitoring.

Yiming Wang, Xiaoke Wang, Shijin Nie, Keyu Meng, Zhiming Lin

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
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.

Yiming WangSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Xiaoke WangSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Shijin NieSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Keyu MengSchool of Electronic and Information Engineering, Changchun University, Changchun 130022, China.
Zhiming LinSchool of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.ORCID 0000-0002-7027-7449

Funding

Fundamental Research Funds for the Central Universities SWU120045General Program of Chongqing Natural Science Foundation 2022NSCQ-MSX0806Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202200209Visiting Scholar Foundation of Key Laboratory of Optoelectronic Technology and Systems (Chongqing University), Ministry of Education, and National Natural Science Foundation of China 52205586Young Elite Scientists Sponsorship Program by CAST 2022QNRC001
6 · The paper itself

Abstract

Today, cardiovascular diseases threaten human health worldwide. In clinical practice, it has been concluded that analyzing the pulse waveform can provide clinically valuable information for the diagnosis of cardiovascular diseases. Accordingly, continuous and accurate monitoring of the pulse wave is essential for the prevention and detection of cardiovascular diseases. Wearable triboelectric nanogenerators (TENGs) are emerging as a pulse wave monitoring biotechnology due to their compelling characteristics, including being self-powered, light-weight, and wear-resistant, as well as featuring user-friendliness and superior sensitivity. Herein, a comprehensive review is conducted on the progress of wearable TENGs for pulse wave monitoring. Firstly, the four modes of operation of TENG are briefly described. Secondly, TENGs for pulse wave monitoring are classified into two categories, namely wearable flexible film-based TENG sensors and textile-based TENG sensors. Next, the materials, fabrication methods, working mechanisms, and experimental performance of various TENG-based sensors are summarized. It concludes by comparing the characteristics of the two types of TENGs and discussing the potential development and challenges of TENG-based sensors in the diagnosis of cardiovascular diseases and personalized healthcare.

Indexed as

Cardiovascular DiseasesWearable Electronic DevicesBiotechnologyHeart RateHumansMonitoring, Physiologiccardiovascular diseasespulse waveself-powered sensortriboelectric nanogenerator

Identifiers

PMID38202897
PMCPMC10780409

What OpenQuestion holds

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LicenceCC BY
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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.