Evidence map›Paper›PMID 29352237›Full record

ArticleScientific reports2018

Wearable Sweat Rate Sensors for Human Thermal Comfort Monitoring.

Jai Kyoung Sim, Sunghyun Yoon, Young-Ho Cho

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Printed Wearable Sweat Rate Sensor for ContinuousAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Wearable biosensors for human fatigue diagnosis: A review.Bioengineering & translational medicine · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Data Gathering Techniques in WSN: A Cross-Layer View.Sensors (Basel, Switzerland) · 2022
    Review
  16. Biomarkers and Detection Platforms for Human Health and Performance Monitoring: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  17. Review
  18. Article
  19. Energy Autonomous Sweat-Based Wearable Systems.Advanced materials (Deerfield Beach, Fla.) · 2021
    Review
  20. 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

3 authors at 1 institution in 1 country.

Jai Kyoung SimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 271 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Sunghyun YoonDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 271 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.
Young-Ho ChoDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 271 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea. nanosys@kaist.ac.kr.
Korea Advanced Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose watch-type sweat rate sensors capable of automatic natural ventilation by integrating miniaturized thermo-pneumatic actuators, and experimentally verify their performances and applicability. Previous sensors using natural ventilation require manual ventilation process or high-power bulky thermo-pneumatic actuators to lift sweat rate detection chambers above skin for continuous measurement. The proposed watch-type sweat rate sensors reduce operation power by minimizing expansion fluid volume to 0.4 ml through heat circuit modeling. The proposed sensors reduce operation power to 12.8% and weight to 47.6% compared to previous portable sensors, operating for 4 hours at 6 V batteries. Human experiment for thermal comfort monitoring is performed by using the proposed sensors having sensitivity of 0.039 (pF/s)/(g/m

Indexed as

Biosensing TechniquesSweatingWearable Electronic DevicesAlgorithmsHumansModels, TheoreticalSensitivity and SpecificitySweat

Identifiers

PMID29352237
PMCPMC5775419
OpenAlexW2782781832

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.