Evidence map›Paper›PMID 36080808›Full record

ArticleSensors (Basel, Switzerland)2022

Hydration Assessment Using the Bio-Impedance Analysis Method.

Reem AlDisi, Qamar Bader, Amine Bermak

Abstract 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

3 authors.

Reem AlDisiCollege of Health and Life Science, Hamad Bin Khalifa University, Doha 34110, Qatar.
Qamar BaderDepartment of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-4667-1710
Amine BermakCollege of Health and Life Science, Hamad Bin Khalifa University, Doha 34110, Qatar.

Funding

Qatar National Research Fund NPRP11S-0110-180246Qatar National Research Fund NPRP13S-0212-200345
6 · The paper itself

Abstract

Body hydration is considered one of the most important physiological parameters to measure and one of the most challenging. Current methods to assess hydration are invasive and require costly clinical settings. The bio-impedance analysis offers a noninvasive and inexpensive tool to assess hydration, and it can be designed to be used in wearable health devices. The use of wearable electronics in healthcare applications has received increased attention over the last decade. New, emerging medical devices feature continuous patient monitoring and data collection to provide suitable treatment and preventive actions. In this paper, a model of human skin is developed and simulated to be used as a guide to designing a dehydration monitoring system based on a bio-impedance analysis technique. The study investigates the effect of applying different frequencies on the dielectric parameters of the skin and the resulting measured impedance. Two different interdigitated electrode designs are presented, and a comparison of the measurements is presented. The rectangular IDE is printed and tested on subjects to validate the bio-impedance method and study the interpretation of its results. The proposed design offers a classification criterion that can be used to assess dehydration without the need for a complex mathematical model. Further clinical testing and data are needed to refine and finalize the criteria.

Indexed as

DehydrationWearable Electronic DevicesElectric ImpedanceElectrodesElectronicsHumansbio-impedance analysisCOMSOL Multiphysicshydration assessmentinkjet printinginterdigitated electrodewearable devices

Identifiers

PMID36080808
PMCPMC9459687

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.