The 360QS Toolkit for Sleep and Physical Activity Analysis Based on Wearables

Meghna Singh, L. Fernández-Luque, Jaideep Srivastava
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引用次数: 1

Abstract

Sleep and physical activity are human behaviours that play a major role in our health. Poor sleep or lack of physical activity have been found to increase health risks and reduce quality of life. The rapid adoption and evolution of pervasive computing systems, both in the health and wellness domain, are creating a new data-intensive context in which we can learn about the sleep and physical activity patterns of individuals. In this paper we provide an overview of the toolkit we have developed to conduct research on personal health data about sleep and physical activity. This toolkit has been used to develop predictive models of sleep quality based on wearable data, and also to create data visualizations to help healthcare professionals in making decisions.
基于可穿戴设备的360QS睡眠和身体活动分析工具包
睡眠和体育活动是人类的行为,对我们的健康起着重要作用。人们发现,睡眠不足或缺乏体育活动会增加健康风险,降低生活质量。在健康和保健领域,普适计算系统的迅速采用和发展正在创造一个新的数据密集型环境,在这个环境中,我们可以了解个人的睡眠和身体活动模式。在本文中,我们概述了我们开发的用于研究睡眠和身体活动的个人健康数据的工具包。该工具包已被用于开发基于可穿戴数据的睡眠质量预测模型,还用于创建数据可视化,以帮助医疗保健专业人员做出决策。
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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