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

Chinmay Chakraborty, B. Gupta, S. Ghosh
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引用次数: 28

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.
智能手机远程创伤网络下慢性创伤状态的识别
本文提出了一种基于一段时间内颜色变化监测慢性伤口状态的远程伤口框架。这将方便偏远地区的患者通过移动设备与医疗专家联系。此外,这将有助于医务专业人员使用拟议框架更及时、准确和精确地监测和管理伤口。远程医疗代理TMA使用智能手机收集慢性伤口数据并将其发送到远程医疗中心TMH。在TMH中,采用模糊C-Means对伤口图像进行分割,得到了最高的分割准确率(92.60%),然后使用所提出的贝叶斯分类器对伤口组织进行分类。智能手机支持的原型系统已经用快照演示,使用非常兼容和易于集成的超文本预处理器PHP和MySqL。提出的系统可以通过提供伤口组织的百分比来促进更好的伤口管理和治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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