McMillan Kathryn A, Kirk Alison, Hewitt Allan, MacRury Sandra, Lennon Marilyn
Physical Activity for Health Group, University of Strathclyde, Glasgow, UK.
Highland Diabetes Institute, University of Highlands and Islands, Inverness, UK.
J Rehabil Assist Technol Eng. 2018 Sep 9;5:2055668318782805. doi: 10.1177/2055668318782805. eCollection 2018 Jan-Dec.
To present the novel application of combining continuously measured glucose with continuous accelerometer measured physical activity and sedentary behaviour data and discusses the principles used and challenges faced in combining and analysing these two sets of data in the context of diabetes management.
The background and rationale for exploring glucose, physical activity and sedentary behaviour in people with Type 2 diabetes is presented, the paper outlines the technologies used, the individual data extraction and finally the combined data analysis. A case study approach is used to illustrate the application of the combined data processing and analysis.
The data analytic principles used could be transferred to different conditions where continuous data sets are being combined to help individuals or health professionals better manage and care for people with long term conditions.
Future work should focus on generating validated techniques to visualise combined data sets and explore ways to present data back to the individual in an effective way to support health care management and rehabilitation.
介绍连续测量的血糖与连续加速度计测量的身体活动和久坐行为数据相结合的新应用,并讨论在糖尿病管理背景下合并和分析这两组数据时所使用的原则及面临的挑战。
介绍了在2型糖尿病患者中探索血糖、身体活动和久坐行为的背景及基本原理,概述了所使用的技术、个体数据提取方法,最后是合并数据分析。采用案例研究方法来说明合并数据处理与分析的应用。
所使用的数据分析原则可应用于不同情况,即合并连续数据集以帮助个人或健康专业人员更好地管理和照顾患有长期疾病的患者。
未来的工作应侧重于开发经过验证的技术,以可视化合并后的数据集,并探索以有效方式将数据反馈给个体的方法,以支持医疗管理和康复。