ArticleSensors (Basel, Switzerland)2022
Hydration Assessment Using the Bio-Impedance Analysis Method.
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.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed.
- Seamless human electronics interfacing through advanced skin attachable and implantable sensor technologies.Discover nano · 2026Review
- The influence of skin physicochemical properties on electrical sensory sensitivity during transcutaneous electrical nerve stimulation in women.Scientific reports · 2026Article
- Multimodal skin care system using combined image and impedance-based diagnostics.Scientific reports · 2026Article
- Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions.JMIR mHealth and uHealth · 2025Article
- Community-Based Pilot Study of a Wrist-Worn Bioimpedance Hydration Sensor and Its Implications for Understanding the Relationship Between Hydration and Cognitive Function.Health science reports · 2025Article
- Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort.Journal of electrical bioimpedance · 2025Article
- Non-invasive approaches to hydration assessment: a literature review.Urolithiasis · 2024Review
- Methodology for integrated analysis of vector- and spectroscopic bioimpedance methods.Journal of electrical bioimpedance · 2024Article
- The Effect of House Dust Sensitization on Skin Sebum and Moisture in Children with Allergic Respiratory Diseases.Children (Basel, Switzerland) · 2023Article
- Review
- Biosensor Development and Innovation in Healthcare and Medical Applications.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
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.