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Mobile monitoring application to support sustainable behavioural change towards healthy lifestyle

机译:移动监控应用程序,支持可持续的行为改变,以实现健康的生活

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摘要

We describe the development of body area networks (BANs) incorporating sensors and other devices to provide intelligent mobile services in healthcare and well-being. The first BAN applications were designed to simply transmit biosignals and display them remotely. Further developments include analysis and interpretation of biosignals in the light of context data. By including feedback loops, BAN telemonitoring was also augmented with teletreatment services. Recent developments include incorporation of clinical decision support by applying techniques from artificial intelligence. These developments represent a movement towards smart healthcare, making health BAN applications more intelligent by incorporating feedback, context awareness, personalization, and decision support.udThe element of decision support was first introduced into the BAN health and well-being applications in the Food Valley Eating Advisor (FOVEA) project. Obesity and overweight represent a growing threat to health and well-being in modern society. Physical inactivity has been shown to contribute significantly to morbidity and mortality rates, and this is now a global trend bringing huge costs in terms of human suffering and reduction in life expectancy as well as uncontrolled growth in demand on healthcare services. Part of the solution is to foster healthier lifestyle. A major challenge however is that exercise and dietary programs may work for the individual in the short term, but adherence in the medium and long term is difficult to sustain, making weight management a continuing struggle for individuals and a growing problem for society, governments, and health services. Using ICT to support sustainable behavioral change in relation to healthy exercise and diet is the goal of the FOVEA monitoring and feedback application. We strive to design and develop intelligent BAN-based applications that support motivation and adherence in the long term. We present this healthy lifestyle application and report results of an evaluation conducted by surveying professionals in related disciplines.
机译:我们描述了结合传感器和其他设备以在医疗保健和福祉中提供智能移动服务的人体局域网(BAN)的发展。第一个BAN应用程序旨在简单地传输生物信号并远程显示它们。进一步的发展包括根据上下文数据对生物信号进行分析和解释。通过包含反馈回路,BAN远程监控也得到了远程处理服务的增强。最近的发展包括通过应用人工智能技术整合临床决策支持。这些发展代表着智能医疗的发展,通过结合反馈,上下文感知,个性化和决策支持,使健康BAN应用变得更加智能。 ud决策支持的元素首先被引入了Food Valley的BAN健康和福利应用中饮食顾问(FOVEA)项目。肥胖和超重对现代社会的健康和福祉构成越来越大的威胁。缺乏运动已被证明对发病率和死亡率有重大影响,现在这已成为全球趋势,给人类的痛苦和预期寿命的减少以及医疗服务需求的不受控制的增长带来了巨大的代价。解决方案的一部分是培养更健康的生活方式。然而,一项重大挑战是,锻炼和饮食计划可能短期内对个人有效,但难以坚持中长期坚持,使体重管理成为个人的持续斗争,也是社会,政府,和卫生服务。使用ICT支持与健康运动和饮食有关的可持续行为改变是FOVEA监测和反馈应用程序的目标。我们致力于设计和开发基于智能BAN的应用程序,这些应用程序可以长期支持动力和坚持。我们提出了这种健康的生活方式应用,并报告了由相关学科的专业调查人员进行的评估结果。

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