Evidence map›Paper›PMID 36560354›Full record

ArticleSensors (Basel, Switzerland)2022

An Advanced Internet of Things System for Heatstroke Prevention with a Noninvasive Dual-Heat-Flux Thermometer.

Toshiyo Tamura, Ming Huang, Takumi Yoshimura, Shinjiro Umezu, Toru Ogata

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

5 authors at 4 institutions in 1 country.

Toshiyo TamuraInstitute of Healthcare Robotic, Future Robotics Organization, Waseda University, Tokyo 169-8050, Japan.ORCID 0000-0002-8514-4200
Ming HuangComputational Systems Biology, Division of Information Science, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
Takumi YoshimuraMedical and Welfare Engineering Program, Tokyo Metropolitan College of Industrial Technology, Tokyo 116-8523, Japan.
Shinjiro UmezuInstitute of Healthcare Robotic, Future Robotics Organization, Waseda University, Tokyo 169-8050, Japan.
Toru OgataRehabilitation Medicine, School of Medicine, University of Tokyo, Tokyo 113-0033, Japan.
Waseda University · JPCollege of Industrial Technology · JPNara Institute of Science and Technology · JPThe University of Tokyo · JP

Funding

Japan Agency for Medical Research and Development 20dk0310111h0201Japan Society for the Promotion of Science JP18K12148
6 · The paper itself

Abstract

Heatstroke is a concern during sudden heat waves. We designed and prototyped an Internet of Things system for heatstroke prevention, which integrates physiological information, including deep body temperature (DBT), based on the dual-heat-flux method. A dual-heat-flux thermometer developed to monitor DBT in real-time was also evaluated. Real-time readings from the thermometer are stored on a cloud platform and processed by a decision rule, which can alert the user to heatstroke. Although the validation of the system is ongoing, its feasibility is demonstrated in a preliminary experiment.

Indexed as

Heat StrokeInternet of ThingsBody TemperatureHot TemperatureHumansMonitoring, PhysiologicThermometersclinical thermometrycontinuous non-invasive temperature monitoringcore temperaturedeep body temperaturedual-heat-flux thermometerheatstrokeIoT systemthermal regulationwearable device

Identifiers

PMID36560354
PMCPMC9781016
OpenAlexW4312194873

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.