Biosignal detection and analysis with data mining capabilities: A wireless patient monitoring device

Edwin Arjae N. Alconcel, Aaron Angelo S. Avanica, Rowell M. Forones, Justin Philbert G. Ng, R. Baldovino
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引用次数: 4

Abstract

In the Philippines, medical informatics had been loosely practiced in the country as early in the 1980s. Most hospitals in the country, especially public and rural ones, suffer from the backlogs and inconvenience of the traditional method of patient monitoring. Not only that, these hospitals still utilize bulky and complicated monitoring devices. A low-cost and efficient way to address this and to also further enhance the monitoring of the patient is to introduce a digital database and a medical apparatus that can read biosignals and send data wirelessly. This paper address that problem by developing a compact medical device, capable of monitoring several biosignals as well as a patient database to aid in the logging and tracking of patient status. The device sends data via WiFi to a website which logs and charts the data with little to no delay depending on the strength and quality of the signal. The data gathered can then be exported and analysis via a data mining software which can help relate the data in a clear manner.
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具有数据挖掘功能的生物信号检测和分析:一种无线患者监测设备
在菲律宾,早在20世纪80年代,医疗信息学就在该国得到了松散的实践。我国大多数医院,特别是公立和农村医院,都面临着病人监护传统方法的积压和不便。不仅如此,这些医院仍然使用笨重而复杂的监控设备。解决这一问题并进一步加强对病人的监测的一种低成本和有效的方法是引入一个数字数据库和一种可以读取生物信号并无线发送数据的医疗设备。本文通过开发一种紧凑的医疗设备来解决这个问题,该设备能够监测几种生物信号以及患者数据库,以帮助记录和跟踪患者状态。该设备通过WiFi将数据发送到一个网站,该网站根据信号的强度和质量几乎没有延迟地记录和绘制数据。然后,收集的数据可以通过数据挖掘软件导出和分析,该软件可以帮助以清晰的方式将数据关联起来。
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