ReviewMaterials today. Bio2025
Enhancing diagnostic reliability in non-invasive health Monitoring: An analytical framework for optimizing magnetic sensor-skin interactions in biomedical applications.
Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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
2 citing papers in PubMed.
- Wearable Biosensing and Machine Learning for Data-Driven Training and Coaching Support.Biosensors · 2026Review
- Enhancing chronic disease management: hybrid graph networks and explainable AI for intelligent diagnosis.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic sensors present a transformative solution for non-invasive biomedical monitoring by overcoming critical limitations associated with conventional sensing technologies, such as optical sensors, whose performance degrades due to sensor-skin coupling effects. We systematically examine the sensor-skin coupling effect, emphasizing its impact on diagnostic accuracy. Our analysis reveals the complex challenges associated with sensor-skin interfaces, including biomechanical, pigmentary, and textural variations that affect sensor performance. We introduce a novel methodology that combines advanced biomaterial development, adaptive calibration techniques, and sophisticated signal processing algorithms. Our findings highlight that skin-specific characteristics contribute to measurement uncertainties in existing sensing technologies, indicating an urgent need for adaptive interface solutions. We propose a conceptual model for developing biocompatible sensor interfaces that maintain measurement integrity across varied physiological conditions, drawing insights from materials science, bioengineering, and clinical research. This review provides a comprehensive examination of sensor-skin interactions and outlines a roadmap for next-generation health monitoring technologies, along with strategic recommendations for enhancing the reliability of non-invasive diagnostics through innovative biomaterial solutions.
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Identifiers
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.