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Journal of Medical Systems
Published in: Journal of Medical Systems 3/2016

01-03-2016 | Patient Facing Systems

Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches

Authors: Chinmay Chakraborty, Bharat Gupta, Soumya K. Ghosh, Dev K. Das, Chandan Chakraborty

Published in: Journal of Medical Systems | Issue 3/2016

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Abstract

Telemedicine helps to deliver health services electronically to patients with the advancement of communication systems and health informatics. Chronic wound (CW) detection and its healing rate assessment at remote distance is very much difficult due to unavailability of expert doctors. This problem generally affects older ageing people. So there is a need of better assessment facility to the remote people in telemedicine framework. Here we have proposed a CW tissue prediction and diagnosis under telemedicine framework to classify the tissue types using linear discriminant analysis (LDA). The proposed telemedicine based wound tissue prediction (TWTP) model is able to identify wound tissue and correctly predict the wound status with a good degree of accuracy. The overall performance of the proposed wound tissue prediction methodology has been measured based on ground truth images. The proposed methodology will assist the clinicians to take better decision towards diagnosis of CW in terms of quantitative information of three types of tissue composition at low-resource set-up.
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Metadata
Title
Telemedicine Supported Chronic Wound Tissue Prediction Using Classification Approaches
Authors
Chinmay Chakraborty
Bharat Gupta
Soumya K. Ghosh
Dev K. Das
Chandan Chakraborty
Publication date
01-03-2016
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 3/2016
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0424-y

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