迈向智能医院设备:运动障碍患者的健康护理

Eduardo Vázquez-Santacruz, R. Portillo-Flores, Mariano Gamboa-Zúñiga
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引用次数: 0

摘要

在本文中,我们提出了一种智能装置,其中包括一个基于姿势分类和识别的机器人病床自动运动监控系统。该功能是根据诊断方法的应用所定义的需求而开发的[10]。我们在一家墨西哥公立医院应用的诊断方法让我们了解到,老年人和残疾人的行动问题涉及到解决方案,比如帮助这些人在没有许多并发症的情况下实现行动的设备。这些患者在住院期间可常规或偶尔活动。针对需要一定常规应用的患者,设计了智能监控系统。这个智能系统允许医疗专家根据病人的姿势和时间对机器人床的运动进行编程。我们将展示一种实时尸体分类的方法。我们的工作考虑了信息较少(传感器)的人体姿势分类问题,采用数字化处理对传感器的原始数据进行扩展,从而获得更有意义的分类数据,但采用低成本的算法,以保证实时执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards intelligent hospital devices: Health caring of patients with motor disabilities
In this document we present an intelligence device which includes a monitor system for automatic movements of a robotic hospital bed based on posture classification and identification. This functionality has been developed in response to the requirements defined by the application of a diagnostic methodology [10]. Our diagnostic methodology applied on a Mexican public hospital allowed us to understand that the problem of mobility in elderly people and disabled people involves solutions like devices that attend these individuals to achieve movement without many complications. The movement of these patients can be performed routinely or sporadically during their stay in hospital. For patients who require certain routine application of this movement is designed an intelligent monitor system. This intelligent system allows medical experts to program the movements of the robotic bed considering the patient's posture and time. We will show a methodology for bodies classification in real time. Our work considers the problem of human posture classification with few information (sensors), applying digital process to expand the original data of the sensors and so get more significant data for the classification, however, this is done with low-cost algorithms to ensure the real-time execution.
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