Skin model for monitoring atopic dermatitis using interdigitated capacitive sensor
Skin model for monitoring atopic dermatitis using interdigitated capacitive sensor
Atopic dermatitis is the most common inflammatory skin disease worldwide but empirical work on monitoring the condition using digital technologies is lacking. This work presents a skin model for predicting the dielectric properties of skin with atopic dermatitis, to correlate those properties to the severity of the condition using an interdigitated capacitive sensor. A new parametric prediction of the dielectric spectrum of skin with the condition is estimated and plugged into finite element analysis software. The capacitance and phase of an interdigitated capacitor, tailored for the application of monitoring skin with AD, are computed from the simulation. The results show that the transducer's sensitivity towards changes in the severity of the condition is increased when the excitation frequency is between 10~kHz and 1~MHz. Also, the simulation confirms that the interdigitated capacitor is only sensitive towards skin with AD, and can distinguish it from other conditions.
Todorov, Alexandar R.
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Goyal, Krittika
33a63fb9-5f6c-499c-b208-f6c7d578a2f2
Torah, Russel N.
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Greig, Tom
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Ardern-Jones, Michael R.
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Beeby, Stephen P.
ba565001-2812-4300-89f1-fe5a437ecb0d
Todorov, Alexandar R.
fb7e0973-0830-40c5-bccb-63ea61712e1f
Goyal, Krittika
33a63fb9-5f6c-499c-b208-f6c7d578a2f2
Torah, Russel N.
7147b47b-db01-4124-95dc-90d6a9842688
Greig, Tom
d54c6aa7-3583-41fa-88b0-d339f06a3fb9
Ardern-Jones, Michael R.
7ac43c24-94ab-4d19-ba69-afaa546bec90
Beeby, Stephen P.
ba565001-2812-4300-89f1-fe5a437ecb0d
Todorov, Alexandar R., Goyal, Krittika, Torah, Russel N., Greig, Tom, Ardern-Jones, Michael R. and Beeby, Stephen P.
(2024)
Skin model for monitoring atopic dermatitis using interdigitated capacitive sensor.
In Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
IEEE.
4 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Atopic dermatitis is the most common inflammatory skin disease worldwide but empirical work on monitoring the condition using digital technologies is lacking. This work presents a skin model for predicting the dielectric properties of skin with atopic dermatitis, to correlate those properties to the severity of the condition using an interdigitated capacitive sensor. A new parametric prediction of the dielectric spectrum of skin with the condition is estimated and plugged into finite element analysis software. The capacitance and phase of an interdigitated capacitor, tailored for the application of monitoring skin with AD, are computed from the simulation. The results show that the transducer's sensitivity towards changes in the severity of the condition is increased when the excitation frequency is between 10~kHz and 1~MHz. Also, the simulation confirms that the interdigitated capacitor is only sensitive towards skin with AD, and can distinguish it from other conditions.
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IEEE_EMBC24_FreqForADWearIDC_FINAL
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e-pub ahead of print date: 1 August 2024
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Local EPrints ID: 493175
URI: http://eprints.soton.ac.uk/id/eprint/493175
PURE UUID: 3eb99d94-934b-42d3-ba97-54e1d676f8df
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Date deposited: 27 Aug 2024 16:35
Last modified: 15 Oct 2024 02:08
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Contributors
Author:
Alexandar R. Todorov
Author:
Krittika Goyal
Author:
Russel N. Torah
Author:
Tom Greig
Author:
Stephen P. Beeby
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