Work

Applying Frequency-Wavelet Domain Deconvolution to in Vivo Terahertz Measurements of Skin Conditions

Year: 2025

Type: article

Abstract: Eczema and psoriasis are two of the most prevalent skin conditions in the United Kingdom. Typically, diagnosis and treatment assessment are evaluated based on qualitative measures such as skin appearance and patient feedback. Thus, there is a need for a robust and quantitative method of assessing treatment efficacy and monitoring improvements in skin condition. Terahertz (THz) sensing is a promising candidate, owing to its non-ionising properties and high water sensitivity. However, THz sensing is heavily reliant upon signal processing techniques, in particular deconvolution methods used to extract skin-dependent parameters. Conventionally, double Gaussian deconvolution has been used, however this has been shown to over-smooth data and cause unnecessary signal suppression. In this study, an alternative approach, known as frequency-wavelet domain deconvolution, has been applied toin vivoTHz skin measurements obtained in a clinical study. It is shown that this deconvolution method significantly enhances the usable signal, and improves the accuracy of the extracted impulse response function.

Source: IEEE Transactions on Terahertz Science and Technology

DOI: 10.1109/tthz.2025.3566562

Authors: Benjamin G. Page, Jacob J. Young, Arturo I. Hernandez-Serrano, Joseph Hardwicke, Emma Pickwell-MacPherson

Institutions: University of Warwick, University Hospital Coventry, University Hospitals Coventry and Warwickshire NHS Trust

Language: English

Topic: Terahertz technology and applications

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,645