Evidence map›Paper›PMID 30400608›Full record

ArticleSensors (Basel, Switzerland)2018

Conductive Thread-Based Textile Sensor for Continuous Perspiration Level Monitoring.

Ji Jia, Chengtian Xu, Shijia Pan, Stephen Xia, Peter Wei, Hae Young Noh, Pei Zhang, Xiaofan Jiang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Enhanced Sweat Biosensing with Thread-Embedded Microfluidic Devices.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
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  8. Article
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  11. Wearables and their applications for the rehabilitation of elderly people.Medical & biological engineering & computing · 2022
    Review
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  13. Article
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  16. Article
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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

8 authors at 2 institutions in 1 country.

Ji JiaElectrical Engineering Department, Columbia University, New York, NY 10027, USA. jj2860@columbia.edu.ORCID 0000-0002-8684-2908
Chengtian XuElectrical Engineering Department, Columbia University, New York, NY 10027, USA. cx2168@columbia.edu.
Shijia PanElectrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. shijiapan@cmu.edu.ORCID 0000-0002-3226-2318
Stephen XiaElectrical Engineering Department, Columbia University, New York, NY 10027, USA. sx2194@columbia.edu.
Peter WeiElectrical Engineering Department, Columbia University, New York, NY 10027, USA. pw2428@columbia.edu.
Hae Young NohCivil and Environmental Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. noh@cmu.edu.
Pei ZhangElectrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA. peizhang@cmu.edu.
Xiaofan JiangElectrical Engineering Department, Columbia University, New York, NY 10027, USA. jiang@ee.columbia.edu.ORCID 0000-0002-6480-0299
Columbia University · USCarnegie Mellon University · US

Funding

Google giftIntel Corporation giftNational Science Foundation CNS-1704899, CNS-1815274, CNS-1149611 and 535 CMMI-1653550
6 · The paper itself

Abstract

Individual perspiration level indicates a person's physical status as well as their comfort level. Therefore, continuous perspiration level measurement enables people to monitor these conditions for applications including fitness assessment, athlete physical status monitoring, and patient/elderly care. Prior work on perspiration (sweat) sensing required the user either to be static or to wear the adhesive sensor directly on the skin, which limits users' mobility and comfort. In this paper, we present a novel conductive thread-based textile sensor that measures an individual's on-cloth sweat quantity. The sensor consists of three conductive threads. Each conductive thread is surrounded by a braided cotton cover. An additional braided cotton cover is placed outside the three conductive threads, holding them in a position that is stable for measurement. the sensor can be embedded at various locations on a person's clothing. When the person sweats, the cotton braids absorb the sweat and change the conductivity (resistance) between conductive threads. We used a voltage dividing circuit to measure this resistance as the sensor output (DC). We then conducted a sensor calibration to map this measured voltage to the quantity of electrolyte solution (with the same density as sweat) applied to the sensor. We used this sensor to measure individuals' perspiration quantity and infer their perceived perspiration levels. The system is able to limit the average prediction error to 0.4 levels when compared to five pre-defined perceived perspiration levels.

Indexed as

Electric ConductivityTextilesCalibrationCotton FiberFemaleHumansMaleMonitoring, PhysiologicMotionSolutionsSweatSolutionsperspiration level monitoringsweat sensingtextile sensor

Identifiers

PMID30400608
PMCPMC6263898
OpenAlexW2899579543

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.