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首页> 外文会议>International Conference on Applied Human Factors and Ergonomics >Development of a nursing care support system that seamlessly monitors both bedside and indoor locations
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Development of a nursing care support system that seamlessly monitors both bedside and indoor locations

机译：开发护理护理支持系统，无缝监控床头和室内地点

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Keeping fully abreast of a patient's daily health state is an important part of care planning and risk management. However, comprehensive assistive technology capable of collecting the data necessary for analyzing the daily health state of patients, while simultaneously monitoring other aspects their safety and security, has not yet been established. In this paper, we report on the development of two measurement systems that allow healthcare staff to more easily monitor patients within a nursing home. One is a system that measures a patient's head location on a bed (and in the bedside vicinity) via a Microsoft Kinect sensor. This system is capable of robust head location measurements via the AdaBoost-based head recognition algorithm and a random sampling consensus (RANSAC) bed recognition algorithm. The other location system tracks a patient's indoor location within the nursing home via radio frequency identification (RFID) tags. To confirm the effectiveness of these systems, we installed the proposed patient location monitoring system in an actual Tokyo nursing home and the head location tracking system in a simulated bedside environment created inside our laboratory.
机译：完全及时了解患者的日常卫生国家是护理规划和风险管理的重要组成部分。然而，能够收集分析患者日常健康状况所需的数据的全面辅助技术，同时监测其他方面的安全和安全性，尚未建立。在本文中，我们报告了两种测量系统的开发，允许医疗保健人员更容易监控疗养院内的患者。一个是通过Microsoft Kinect传感器测量患者在床上（和床头附近）上的患者的头部位置。该系统能够通过基于Adaboost的头部识别算法和随机采样共识（RANSAC）床识别算法的鲁棒头位置测量。另一个位置系统通过射频识别（RFID）标签跟踪患者在护理家庭内的室内位置。为了确认这些系统的有效性，我们在实际的东京护理家庭和头部位置跟踪系统中安装了拟议的患者位置监控系统，在我们实验室内创建的模拟床边环境中。

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