灵巧家庭老人评估分数与活动相关性分析
Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
摘要：
持续监察长者的体力和活动能力，对维持他们的健康和及早治疗疾病，至为重要。然而，医生的频繁筛查超出了后勤能力。另一种方法是通过环境传感器自动和不引人注目地收集功能测量。在目前的出版物中，我们展示了环境运动传感器的数据与成熟的移动性评估Short-Physical-Performance-Battery，Tinetti和Timed Up & Go之间的相关性。我们使用运动传感器事件的平均数量作为与评估分数相关的活动度量。对真实世界数据集的评估显示，与标准化老年医学身体评估评分之间存在中度至高度相关性。
英文摘要：
A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the well-established mobility assessments Short-Physical-Performance-Battery, Tinetti and Timed Up & Go. We use the average number of motion sensor events as activity measure for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.
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