Smartphone-Based Hyperspectral Imaging - Low-Cost Application for Telemedicine

Vogt J, Martin S, Franke J (2023)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2023

Publisher: IOS Press

Edited Volumes: dHealth 2023

Series: Studies in Health Technology and Informatics

Book Volume: 301

Pages Range: 69-70

ISBN: 978-1-64368-387-4

DOI: 10.3233/SHTI230014

Abstract

In this paper we outline a cost-effective design for the improvement of telemedicine applications through a two components concept. A normal smartphone is equipped with a small device containing different filter options, which provide particular spectral information for the identification of skin lesions. By merging the measured spectra, a higher data density and more information can be obtained using an ANN to improve an early diagnosis of skin lesions through telemedicine applications in remote areas.

Authors with CRIS profile

Johanna Vogt Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Sina Martin Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik

How to cite

APA:

Vogt, J., Martin, S., & Franke, J. (2023). Smartphone-Based Hyperspectral Imaging - Low-Cost Application for Telemedicine. In Bernhard Pfeifer, Günter Schreier, Martin Baumgartner, Dieter Hayn (Eds.), dHealth 2023. (pp. 69-70). IOS Press.

MLA:

Vogt, Johanna, Sina Martin, and Jörg Franke. "Smartphone-Based Hyperspectral Imaging - Low-Cost Application for Telemedicine." dHealth 2023. Ed. Bernhard Pfeifer, Günter Schreier, Martin Baumgartner, Dieter Hayn, IOS Press, 2023. 69-70.

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