Automated complex for remote medical examination

M. Kaplan, O. Melnik, M. Nikiforov, D. I. Ustyukov, A. V. Shulyakov
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Abstract

Elements of telemedicine are increasingly being introduced into all spheres of medical services for the population. One promising example is automated systems for remote pre-trip medical examination of drivers. However, most of the telemedicine systems used only control the basic parameters of the body provided for by law. An urgent task is to create methods and tools for a comprehensive assessment of the driver's health based on processing of a set of biomedical signals and data that allow tracking the dynamics of the functional and psychoemotional status. Purpose – development of an automated system for remote medical examination of drivers, which allows not only to monitor basic health indicators for admission to a flight, but also to track indirect signs of fatigue, stress and exposure to psychoactive substances that can provoke inappropriate behavior on the road. A microprocessor-based system for collecting and preliminary processing of information received from a set of biomedical sensors has been developed. The original modules for measuring blood pressure and pulse, non-contact temperature measurement and tremor parameters evaluating have been implemented. The set of diagnostic procedures for the pre-trip examination is implemented in a unified cycle, which ensures the complexity of the interpretation of the results. The developed automated complex and the hardware and software tools included in it can be used to conduct pre-trip examinations of drivers of public and special transport, providing an increase in the diagnostic efficiency of identifying signs that are risk factors when the driver is allowed to work.
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用于远程医疗检查的自动化复合体
越来越多地将远程医疗的要素引入人口医疗服务的各个领域。一个很有前景的例子是对司机进行旅行前远程医疗检查的自动化系统。然而,大多数远程医疗系统只控制法律规定的身体基本参数。一项紧迫的任务是创造一种方法和工具,基于一组生物医学信号和数据的处理,对驾驶员的健康状况进行全面评估,从而跟踪功能和心理状态的动态。目的——开发对驾驶员进行远程医疗检查的自动化系统,不仅可以监测登机前的基本健康指标,还可以跟踪疲劳、压力和接触精神活性物质的间接迹象,这些迹象可能在道路上引发不当行为。开发了一种基于微处理器的系统,用于收集和初步处理从一组生物医学传感器接收到的信息。实现了原有的血压和脉搏测量、非接触式温度测量和震颤参数评估模块。起下钻前检查的诊断程序集在一个统一的周期中实施,这确保了结果解释的复杂性。开发的自动化综合设施及其硬件和软件工具可用于对公共和特殊交通工具的司机进行出行前检查,从而提高诊断效率,在司机获准工作时识别危险因素的迹象。
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