ArticleDiagnostics (Basel, Switzerland)2023
Estimation of the Differential Pathlength Factor for Human Skin Using Monte Carlo Simulations.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Computational validation of optical adaptive depth steering for continuous-wave fNIRS.Biomedical optics express · 2026Article
- In Silico Optimization of a Non-Invasive Optical Sensor for Hemoconcentration Monitoring in Dengue Fever Management.Biosensors · 2026Article
- Evaluation of the relationship between intercostal muscle oxygenation measured by near-infrared spectroscopy and exercise capacity in group E COPD patients.Pflugers Archiv : European journal of physiology · 2025Article
- A low-power approach to optical glucose sensing via polarisation switching.Scientific reports · 2025Article
- Errors Induced by Partial Pathlength Variations Due to Mammographic Compression in Dynamic Diffuse Optical Breast Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- A comprehensive review on electromagnetic wave based non-invasive glucose monitoring in microwave frequencies.Heliyon · 2024Review
- Non-Invasive Glucose Sensing Technologies and Products: A Comprehensive Review for Researchers and Clinicians.Sensors (Basel, Switzerland) · 2023Review
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1 author.
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Abstract
Near-infrared technology is an emerging non-invasive technique utilized for various medical applications. Recently, there have been many attempts to utilize NIR technology for the continues monitoring of blood glucose levels through the skin. Different approaches and designs have been proposed for non-invasive blood glucose measurements. Light photons penetrating the skin can undergo multiple scattering events, and the actual optical pathlength becomes larger than the source-to-detector separation (optode spacing) in the reflection-mode configuration. Thus, the differential pathlength factor (DPF) must be incorporated into the modified Beer-Lambert law. The accurate estimation of the DPF values will lead to an accurate quantification of the physiological variations within the tissue. In this work, the aim was to systematically estimate the DPF for human skin for a range of source-to-detector separations and wavelengths. The Monte Carlo (MC) method was utilized to mimic the different layers of human skin with different optical properties and blood and water volume fractions. This work could help improve the accuracy of the near-infrared technique in the measurement of physiological variations within skin tissue.
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