Battery optimization in smartphones for remote health monitoring systems to enhance user adherence

N. Alshurafa, J. Eastwood, Suneil Nyamathi, Wenyao Xu, Jason J. Liu, M. Sarrafzadeh
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引用次数: 21

Abstract

Remote health monitoring (RHM) can help save the cost burden of unhealthy lifestyles. Of increased popularity is the use of smartphones to collect data, measure physical activity, and provide coaching and feedback to users. One challenge with this method is to improve adherence to prescribed medical regimens. In this paper we present a new battery optimization method that increases the battery lifetime of smartphones which monitor physical activity. We designed a system, WANDA-CVD, to test our battery optimization method. The focus of this report describes our in-lab pilot study and a study aimed at reducing cardiovascular disease (CVD) in young women, the Women's Heart Health study. Conclusively, our battery optimization technique improved battery lifetime by 300%. This method also increased participant adherence to the remote health monitoring system in the Women's Heart Health study by 53%.
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用于远程健康监测系统的智能手机电池优化,以增强用户依从性
远程健康监测(RHM)可以帮助减轻不健康生活方式的成本负担。越来越受欢迎的是使用智能手机收集数据,测量身体活动,并向用户提供指导和反馈。这种方法的一个挑战是提高对处方医疗方案的依从性。在本文中,我们提出了一种新的电池优化方法,可以增加监测身体活动的智能手机的电池寿命。我们设计了一个系统WANDA-CVD来测试我们的电池优化方法。本报告的重点描述了我们的实验室试点研究和一项旨在减少年轻女性心血管疾病(CVD)的研究,即女性心脏健康研究。最后,我们的电池优化技术将电池寿命提高了300%。在妇女心脏健康研究中,这种方法还使参与者对远程健康监测系统的依从性提高了53%。
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