基于语义表示和规则评估的上下文感知医疗内容适配

C. Doukas, Ilias Maglogiannis, K. Karpouzis
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引用次数: 13

摘要

医疗和生理数据的正确编码和传输是远程医疗服务有效部署和发挥作用的关键问题。本文提出了一个基于上下文感知执行适当的医疗内容适配的平台。传感器用于确定通过医疗网络监测的患者的状态。关于患者环境的其他上下文信息(例如,位置,数据传输设备和底层网络条件等)通过本体知识库模型表示。基于规则的评估确定医疗数据的适当内容(即生物信号、医疗视频和音频)编码和传输,以优化远程医疗流程。本文讨论了本体模型的设计,并给出了初步评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-Aware Medical Content Adaptation through Semantic Representation and Rules Evaluation
Proper coding and transmission of medical and physiological data is a crucial issue for the effective deployment and performance of telemedicine services. The paper presents a platform for performing proper medical content adaptation based on context awareness. Sensors are used in order to determine the status of a patient being monitored through a medical network. Additional contextual information regarding the patient¿s environment (e.g., location, data transmission device and underlying network conditions, etc.) are represented through an ontological knowledge base model. Rule-based evaluation determines proper content (i.e., biosignals, medical video and audio) coding and transmission of medical data, in order to optimize the telemedicine process. The paper discusses the design of the ontological model and provides an initial assessment.
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