Evidence map›Paper›PMID 40658851›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Wireless arm-worn bioimpedance sensor for continuous assessment of whole-body hydration.

Matija Jankovic, Seungmin Kang, Sarnab Bhattacharya, Jordon Kashanchi, Jieting Wang, Kanika Deoli, Tianda Huang, Alex Johnson, Karina Ambani, Sangjun Kim and 3 more

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Matija JankovicChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.ORCID 0009-0000-3146-7517
Seungmin KangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-0690-7039
Sarnab BhattacharyaChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-9878-6798
Jordon KashanchiChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.
Jieting WangDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-6971-2431
Kanika DeoliChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.
Tianda HuangChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.ORCID 0009-0007-5683-9883
Alex JohnsonChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.
Karina AmbaniDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712.
Sangjun KimDepartment of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712.
Pulin WangStretch Med Inc, Austin, TX 78750.
Edward CoyleDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX 78712.
Nanshu LuChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-3595-3851

Funding

DOD | USN | Office of Naval Research (ONR) N00014-20-1-2112National Science Foundation (NSF) 2133106
6 · The paper itself

Abstract

Assessment of whole-body hydration (WBH) is crucial for health management and disease diagnosis. Traditional methods are invasive or require bulky equipment, making them impractical for mobile, continuous sensing. We present a wearable bioimpedance sensor with strategic electrode placement across the arm for noninvasive, continuous, and mobile WBH monitoring. Although whole-body bioimpedance is a proven method for indicating WBH, the effectiveness of local bioimpedance measurement has been unclear. Our finite element analysis demonstrated that with an optimized cross-arm sensing configuration, a strong linear relationship exists between arm bioimpedance and muscle electrical resistivity, confirming the utility of arm bioimpedance for assessing WBH given the well-established relationship between muscle electrical resistivity and body water. Our IRB-approved diuretic-induced dehydration study demonstrated a strong linear correlation between the increase of arm bioimpedance and the decrease in body weight due to water loss, with a Pearson correlation coefficient of 0.956 ± 0.033 among eight participants. Arm and whole-body demonstrated strong alignment, suggesting that arm bioimpedance measurements can reflect not only changes in WBH but also potentially absolute WBH status when compared against established population reference data. In a 24-h free-living experiment, the wireless, dry electrode-based, arm-conformable bioimpedance sensor continuously tracked dehydration and rehydration despite motions associated with daily activities. These results suggest that properly measured arm bioimpedance can serve as a surrogate for WBH, offering a reliable and accessible solution. The potential uses of this wearable technology range from improving personal wellness to enhancing professional sports and occupational safety.

Indexed as

ArmDehydrationElectric ImpedanceWearable Electronic DevicesWireless TechnologyAdultBody WaterFemaleHumansMaleMonitoring, Physiologicbioelectrical impedance vector analysisbioimpedancedehydrationflexible electronicswearable electronics

Identifiers

PMID40658851
PMCPMC12304993

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.