Evidence map›Paper›PMID 38019318›Full record

ArticleEuropean journal of applied physiology2024

Evaluation of a wearable fabric-based sensor for accurate sodium determination in sweat during exercise.

Kristina Dyshko, Mary Pat Nicodemus, Ronald Otterstetter, Hanieh Ghadimi, Shelby Daniels, Michael S Fulmer, Zachary Cheney, Rebecca Ellis, Victoria Stege, Chelsea N Monty

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Kristina DyshkoRooSense LLC, 1802 E. 25th Street, Cleveland, OH, 44115, USA.
Mary Pat NicodemusRooSense LLC, 1802 E. 25th Street, Cleveland, OH, 44115, USA.
Ronald OtterstetterSchool of Exercise and Nutrition Sciences, College of Health and Human Sciences, The University of Akron, 302 E. Buchtel Ave, Akron, OH, 44325, USA.
Hanieh GhadimiRooSense LLC, 1802 E. 25th Street, Cleveland, OH, 44115, USA.
Shelby DanielsRooSense LLC, 1802 E. 25th Street, Cleveland, OH, 44115, USA.
Michael S FulmerRooSense LLC, 1802 E. 25th Street, Cleveland, OH, 44115, USA.
Zachary CheneyDepartment of Chemical and Biomedical Engineering, Washkewicz College of Engineering, Cleveland State University, Cleveland, OH, 44115, USA.
Rebecca EllisDepartment of Chemical and Biomedical Engineering, Washkewicz College of Engineering, Cleveland State University, Cleveland, OH, 44115, USA.
Victoria StegeDepartment of Chemical and Biomedical Engineering, Washkewicz College of Engineering, Cleveland State University, Cleveland, OH, 44115, USA.
Chelsea N MontyDepartment of Chemical and Biomedical Engineering, Washkewicz College of Engineering, Cleveland State University, Cleveland, OH, 44115, USA. c.montybromer@csuohio.edu.ORCID http://orcid.org/0000-0002-7108-661X
InnoSense (United States) · USCleveland State University · USUniversity of Akron · US

Funding

National Science Foundation 1843539
6 · The paper itself

Abstract

introductionNewly developed wearable fabric sensors (WFS) can increase the ease and accuracy of sweat sodium measurements by performing simultaneous sampling and analysis on the body during exercise. PURPOSE: Determine the accuracy of a WFS for measurement of sodium concentration in sweat.

methodsSubjects wore a WFS prototype and sweat collectors on their forearm during cycle ergometry. Subjects exercised at a moderate intensity (~ 65% heart rate reserve) for 30-60 min. Sweat samples were collected and analyzed using a commercial sweat sodium analyzer (SSA) every 10-15 min. WFS were adhered with an armband and connected to custom built electronics. Accuracy was determined by comparing predicted WFS concentration to the actual concentration from the commercial SSA and analyzed statistically using ANOVA and Bland-Altman plots.

resultsA total of 19 subjects completed the study. The average sweat sodium concentration was 59 mM ± 22 mM from a SSA compared with 54 mM ± 22 mM from the WFS. Overall, the average accuracy of the WFS was 88% in comparison to the SSA with p = 0.45. A line of best fit comparing predicted versus actual sweat sodium concentration had a slope of 0.99, intercept of - 4.46, and an r

conclusionThe WFS accurately predicted sweat sodium concentration during moderate intensity cycle ergometry. With the need for precise assessment of sodium loss, especially during long duration exercise, this novel analysis method can benefit athletes and coaches. Further research involving longer duration and more intense exercise is warranted.

Indexed as

ExerciseSodiumSweatTextilesWearable Electronic DevicesAdultFemaleHumansMaleYoung AdultSodiumFabric-based sensorHydration monitoringWearable sensor

Identifiers

PMID38019318
OpenAlexW4389135431

What OpenQuestion holds

Textmetadata
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.