Evidence map›Paper›PMID 39194590›Full record

ArticleBiosensors2024

Wearable Sensors Based on Miniaturized High-Performance Hybrid Nanogenerator for Medical Health Monitoring.

Jinjing Wu, Xiaobo Lin, Chengkai Yang, Sirui Yang, Chenning Liu, Yuanyuan Cao

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

6 authors.

Jinjing WuDepartment of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China.
Xiaobo LinCollege of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Chengkai YangSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Sirui YangSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Chenning LiuSchool of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Yuanyuan CaoDepartment of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-3146-3871

Funding

National Key Research and Development Program of China 2021YFC2301103
6 · The paper itself

Abstract

Wearable sensors are important components, converting mechanical vibration energy into electrical signals or other forms of output, which are widely used in healthcare, disaster warning, and transportation. However, the reliance on batteries limits the portability of wearable sensors and hinders their application in the field of Internet of Things. To solve this problem, we designed a miniaturized high-performance hybrid nanogenerator (MHP-HNG), which combined the functions of triboelectric sensing and electromagnetic power generation as well as the advantages of miniaturization. By optimizing the design of TENG and EMG, the wearable sensor achieved a voltage output of 14.14 V and a power output of 49 mW. Based on the wireless optical communication and wireless communication technologies, the wearable sensor achieved the integration of sensing, communication, and self-powered function, which is expected to realize health monitoring, emergency warning, and rehabilitation assistance, and further extend the potential application value in the medical field.

Indexed as

Wearable Electronic DevicesWireless TechnologyBiosensing TechniquesElectric Power SuppliesHumansMonitoring, PhysiologicNanotechnologyhealth monitoringmechanical vibration energy harvestingself-poweredtriboelectric–electromagnetic hybrid nanogeneratorwearable sensor

Identifiers

PMID39194590
PMCPMC11352411

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.