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Identification of Chronic Wound Status under Tele-Wound Network through Smartphone

Identification of Chronic Wound Status under Tele-Wound Network through Smartphone

Chinmay Chakraborty, Bharat Gupta, Soumya K. Ghosh
Copyright: © 2016 |Pages: 17
ISBN13: 9781466687899|ISBN10: 1466687894|EISBN13: 9781466687905
DOI: 10.4018/978-1-4666-8789-9.ch046
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MLA

Chakraborty, Chinmay, et al. "Identification of Chronic Wound Status under Tele-Wound Network through Smartphone." Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 991-1007. https://doi.org/10.4018/978-1-4666-8789-9.ch046

APA

Chakraborty, C., Gupta, B., & Ghosh, S. K. (2016). Identification of Chronic Wound Status under Tele-Wound Network through Smartphone. In I. Management Association (Ed.), Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications (pp. 991-1007). IGI Global. https://doi.org/10.4018/978-1-4666-8789-9.ch046

Chicago

Chakraborty, Chinmay, Bharat Gupta, and Soumya K. Ghosh. "Identification of Chronic Wound Status under Tele-Wound Network through Smartphone." In Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 991-1007. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8789-9.ch046

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Abstract

This paper presents a tele-wound framework for monitoring chronic wound status based on color variation over a period of time. This will facilitate patients at remote locations to connect to medical experts through mobile devices. Further this will help medical professionals to monitor and manage the wounds in more timely, accurate and precise manner using the proposed framework. Tele-medical agent (TMA) collects the chronic wound data using smart phone and send it to the Tele-medical hub (TMH). In TMH, the wound image has been segmented using Fuzzy C-Means which gives highest segmented accuracy i.e. 92.60%, then the wound tissue is classified using proposed Bayesian classifier. The smart phone supported prototype system has been demonstrated with snapshots using very compatible and easy to integrate Hypertext preprocessor (PHP) and MySqL. The proposed system may facilitate better wound management and treatment by providing percentage of wound tissues.

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