Evidence map›Paper›PMID 37430732›Full record

ArticleSensors (Basel, Switzerland)2023

An Energy-Efficient Flexible Multi-Modal Wireless Sweat Sensing System Based on Laser Induced Graphene.

Jiuqing Feng, Yizhou Jiang, Kai Wang, Jianzheng Li, Jialong Zhang, Mi Tian, Guoping Chen, Laigui Hu, Yiqiang Zhan, Yajie Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Jiuqing FengSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.ORCID 0000-0002-4989-5517
Yizhou JiangSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Kai WangSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Jianzheng LiSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Jialong ZhangSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Mi TianHuashan Hospital, Shanghai 200040, China.
Guoping ChenSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Laigui HuSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Yiqiang ZhanSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.
Yajie QinSchool of Information Science and Technology, Fudan University, Shanghai 200433, China.

Funding

International Human Phenome Project (Phase I) 2017SHZDZX01Science and Technology Commission of Shanghai Municipality 19441907200Shanghai Hospital Development Center SHDC2020CR3021AThe National Key Research Development Program of China for International Cooperation 2020YFE0191300
6 · The paper itself

Abstract

Real-time sweat monitoring is vital for athletes in order to reflect their physical conditions, quantify their exercise loads, and evaluate their training results. Therefore, a multi-modal sweat sensing system with a patch-relay-host topology was developed, which consisted of a wireless sensor patch, a wireless data relay, and a host controller. The wireless sensor patch can monitor the lactate, glucose, K

Indexed as

GraphiteNanotubes, CarbonGlucoseHumansLactic AcidLasersSweatGlucoseGraphiteLactic AcidNanotubes, Carbonhealth monitoringhuman motion monitoringlactate enzyme electrodelaser-induced graphenesingle-walled carbon nanotubessweat sensing systemwearable sensor

Identifiers

PMID37430732
PMCPMC10221498

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.