Evidence map›Paper›PMID 41122417›Full record

ArticleAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany)2025

Printed Wearable Sweat Rate Sensor for Continuous

Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan

Abstract read
In one paragraph

Article in Advanced intelligent systems (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

7 authors.

Mohammad Shafiqul IslamDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Sangwon ChaDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Md Farhad HassanDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Wenxin CaiThe Institute for Technology and Medical Systems (ITEMS), Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Tahsin Sejat SaniatSchool of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Cedar Rose LeachDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Yasser KhanDepartment of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.

Funding

Novel multimodal neural, physiological, and behavioral sensing and machine learning for mental statesR61MH135407 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Maryam Shanechi · 2024 to 2026
$2.8M
NIMH NIH HHS R61 MH135407
6 · The paper itself

Abstract

Sweat rate measures key physiological states such as hydration levels and heat tolerance. Incorporating wearable technology with sweat rate sensors allows individuals to conveniently monitor their health, optimize workouts, and enhance occupational safety. However, challenges persist in such integration techniques, including intricate manufacturing, non-linear responses to changes in sweat rates, and errors from the intermediate measurement of the distance sweat travels in the sensor. To address these issues, we present a comprehensive wearable platform that includes a fully printed, flexible sensor patch, readout electronics, and a mobile app for continuous, real-time monitoring of sweat rate. Utilizing direct 3D printing and scalable microfluidic fabrication, we produced a sensor patch measuring 700

Indexed as

bioelectronicscapacitive sweat rate sensorflexible and printed electronicswearable electronics

Identifiers

PMID41122417
PMCPMC12536471

What OpenQuestion holds

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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.