Monitoring mobile patients using predictive analysis by data from wearable sensors

Sourabh Dudakiya, Heren Galani, A. Shaikh, Deven Thanki, R. late, S. Pawar
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引用次数: 8

Abstract

Nowadays, we know health has to be given more attention as due to hybrid food, changing environment and many other factors many health problems are arising; which has lead the researchers to pay attention to healthcare monitoring systems. As many patients are hospitalized, monitoring them continuously is a bit tedious task. So some technique should be implemented to ease our task so we are proposing predictive monitoring technique to develop reliable patient monitoring system so that healthcare professionals can monitor their patient continuously by using wearable patient monitors. The proposed system uses sensors, the data acquisition unit, microcontroller (ie. Arduino) and software. This system is able to send alarm messages about the patient's critical health data by text messages or by email reports. By using this information the healthcare professional can provide necessary medical advising. Thus the proposed system removes some drawbacks of existing system and provides a reliable health monitoring system which will monitor health parameters such as ECG, RR, HR, BP and BG.
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通过可穿戴传感器的数据进行预测分析,监测移动患者
如今,我们知道健康必须给予更多的关注,由于混合食品,变化的环境和许多其他因素,许多健康问题正在出现;这使得研究人员开始关注医疗监控系统。由于许多病人住院,持续监测他们是一项有点繁琐的任务。因此,应该实施一些技术来减轻我们的任务,因此我们提出预测监测技术来开发可靠的患者监测系统,以便医疗保健专业人员可以通过使用可穿戴患者监护仪来持续监测患者。提出的系统采用传感器、数据采集单元、微控制器(即。Arduino)和软件。该系统能够通过短信或电子邮件报告发送有关患者关键健康数据的警报信息。通过使用这些信息,医疗保健专业人员可以提供必要的医疗建议。因此,该系统消除了现有系统的一些缺点,提供了一个可靠的健康监测系统,可以监测心电图、RR、HR、BP和BG等健康参数。
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