Detecting atopic dermatitis with impedance measurements

This research improves atopic dermatitis (AD) detection, a common type of eczema, which affects about 20% of Canadians. AD causes dry and inflamed skin due to a lack of a key protein, making the skin barrier less effective against moisture loss and allergens. Current treatments like moisturizers and steroids can have side effects, and diagnosing AD accurately can be challenging, delaying treatment.

Traditional diagnosis involves a healthcare provider examining the skin and considering medical history, but this can be prone to errors. To improve this process, electrical impedance spectroscopy (EIS) can be used, which involves passing small electrical currents through the skin to detect abnormalities in cell structure. While this method has been used to detect skin cancer, its potential for AD diagnosis hasn’t been widely explored.

Our research will develop a mathematical model and simulate a device using computer programming. This device will be run through both healthy and affected skin areas, measuring changes in current strength and phase. The data will be used to create a graph, providing an overview of the skin’s condition.

The goal is to create a reliable and easy-to-use device that can accurately diagnose AD, leading to earlier treatment and improved outcomes for patients.

Faculty Supervisor:

Arthur Chan

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: