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Paper

An accurate wearable hydration sensor: real-world evaluation of practical use (SpectroPhon DBM)

Dmitry Rodin, Yair Shapiro, Albert Pinhasov, Anatoly Kreinin, Michael Kirby
PLOS ONE2022CC BY 4.0
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Published articlePublication date: Aug 24, 2022Added to atlas: Oct 13, 2026Source
Citations24Crossref referencesChecked Oct 16, 2026
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This study tested a wearable hydration sensor that combines PPG and galvanic sensors in a field trial with 240 participants, half men and half women. Device readings went to a phone over Bluetooth every 20 seconds and were compared with change in body mass on a medical scale. Agreement was close, with an average normalized error of about 2%, and fewer than 5% of values fell outside the Bland-Altman limits.

  • Sensors: PPG + galvanic
  • Reference: change in body mass (medical scale)
  • Result: ~2% normalized RMS error
At a glance
Venue
PLOS ONE
Published
2022
DOI
10.1371/journal.pone.0272646 (opens in a new tab)
arXiv
Not reported
PMID
Not reported
Licence
CC BY 4.0 (opens in a new tab)
Signals
Not reported
Form factor
Not reported
Subjects
240 participants (equal men and women)
Code
Not reported
Added
Oct 13, 2026

Abstract

A wearable body hydration sensor employing photoplethysmographic and galvanic biosensors was field evaluated using 240 human participants with equal numbers of men and women volunteers. Monitoring of water mass loss due to perspiration was performed by medical balance measurements following one of two different treadmill physical exercise regimens over 90 minutes in 15-minute intervals with intervening 10-minute rest periods. Participants wore two different models of the dehydration body monitor device mated to commercially-available smartwatches (Samsung Gear S2 and Samsung Gear Fit2). Device output was recorded by Bluetooth wireless link to a standard smartphone in 20-second blocks. Comparison of the devices with the standard measurement method (change in body mass measured by medical balance) indicated very close agreement between changes in body water mass and device output (percent normalized mean root square error averaged approximately 2% for all participants). Bland-Altman analyses of method agreement indicated that <5% of participant values fell outside of the 95% confidence interval limits of agreement and all measured value differences were normally distributed around the line of equality. The results of this first-ever field trial of a practical, wearable hydration monitor suggests that this device will be a reliable tool to aid in geriatric hydration monitoring and physical training scenarios.

Verbatim fromthe publisher's DOI record· Publisher licence: http://creativecommons.org/licenses/by/4.0/

An accurate wearable hydration sensor: real-world evaluation of practical use (SpectroPhon DBM): ChatPPG research summary card

How it works

How Method works: Setup → Method → ResultSetup: Cohort (240 participants (equal men and women)). Method: Method. Result: Result (~2% normalized RMS error).SetupCohort: 240 participants (equal men and women)Cohort240 participants (equal men and women)MethodMethodResultResult: ~2% normalized RMS errorResult~2% normalized RMS error
Cohort
240 participants (equal men and women)

Cite

@article{spectrophondbmwearablehy2022,
  title = {{An accurate wearable hydration sensor: real-world evaluation of practical use (SpectroPhon DBM)}},
  author = {Dmitry Rodin and Yair Shapiro and Albert Pinhasov and Anatoly Kreinin and Michael Kirby},
  year = {2022},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0272646}
}

History

  1. Added to the ChatPPG research hub

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