Chronic Patients Monitoring Using Wireless Sensors and Big Data Processing

Diego Gachet, Fernando Aparicio, M. Rodríguez, Juan R. Ascanio
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引用次数: 4

Abstract

Developed countries are characterized by aging population and economical crisis, so it is desirable to reduce the costs of public and private healthcare systems. It is necessary to streamline the health system resources leading to the development of new medical services based on telemedicine, remote monitoring of chronic patients, personalized health services, new services for dependants, etc. New medical applications based on remote monitoring will significantly increasing the volume of health information to manage, including data from medical and biological sensors, is then necessary process this huge volume of data using techniques from Big Data. In this paper we propose one potential solution for creating those new services, based on Big Data processing and vital signs monitoring.
利用无线传感器和大数据处理技术监测慢性病患者
发达国家的特点是人口老龄化和经济危机,因此降低公共和私人医疗保健系统的成本是可取的。有必要精简卫生系统资源,从而发展基于远程医疗、慢性病患者远程监测、个性化卫生服务、家属新服务等的新型医疗服务。基于远程监控的新医疗应用将大大增加需要管理的健康信息的数量,包括来自医疗和生物传感器的数据,因此有必要使用大数据技术处理这大量数据。在本文中,我们提出了一种基于大数据处理和生命体征监测的潜在解决方案来创建这些新服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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