Evidence map›Paper›PMID 35408154›Full record

ArticleSensors (Basel, Switzerland)2022

A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches.

Deepesh Agarwal, Philip Randall, Zachary White, Bayleigh Bisnette, Jenalee Dickson, Cross Allen, Faraz Chamani, Punit Prakash, Carl Ade, Balasubramaniam Natarajan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 1 institution in 1 country.

Deepesh AgarwalDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Philip RandallDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Zachary WhiteDepartment of Kinesiology, Kansas State University, Manhattan, KS 66506, USA.
Bayleigh BisnetteDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Jenalee DicksonDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Cross AllenDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Faraz ChamaniDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Punit PrakashDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0001-6467-722X
Carl AdeDepartment of Kinesiology, Kansas State University, Manhattan, KS 66506, USA.
Balasubramaniam NatarajanDepartment of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA.
Kansas State University · US

Funding

ECE undergraduate research funds - Kansas State University NAMichelle Munson - Serman Simu Keystone Research Scholar funds NAPaul L. Spainhour Professorship NA
6 · The paper itself

Abstract

Dehydration in the human body arises due to inadequate replenishment of fluids. An appropriate level of hydration is essential for optimal functioning of the human body, and complications ranging from mild discomfort to, in severe cases, death, could result from a neglected imbalance in fluid levels. Regular and accurate monitoring of hydration status can provide meaningful information for people operating in stressful environmental conditions, such as athletes, military professionals and the elderly. In this study, we propose a non-invasive hydration monitoring technique employing non-ionizing electromagnetic power in the microwave band to estimate the changes in the water content of the whole body. Specifically, we investigate changes in the attenuation coefficient in the frequency range 2-3.5 GHz between a pair of planar antennas positioned across a participant's arm during various states of hydration. Twenty healthy young adults (10M, 10F) underwent controlled hypohydration and euhydration control bouts. The attenuation coefficient was compared among trials and used to predict changes in body mass. Volunteers lost 1.50±0.44% and 0.49±0.54% body mass during hypohydration and euhydration, respectively. The microwave transmission-based attenuation coefficient (2-3.5 GHz) was accurate in predicting changes in hydration status. The corresponding regression analysis demonstrates that building separate estimation models for dehydration and rehydration phases offer better predictive performance (88%) relative to a common model for both the phases (76%).

Indexed as

DehydrationMicrowavesAgedAthletesFluid TherapyHumansWaterYoung AdultWaterhydration monitoringhypohydration and euhydrationmicrowave transmissionnon-invasiveregression analysis

Identifiers

PMID35408154
PMCPMC9003514
OpenAlexW4220835236

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.