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基于家庭监测数据的认知表现模型。

Models of cognitive performance based on home monitoring data.

作者信息

Jimison Holly B, McKanna James, Ambert Kyle, Hagler Stuart, Hatt William J, Pavel Misha

机构信息

Departments of Medical Informatics and Biomedical Engineering at Oregon Health & Science University, Portland, 97239 USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5234-7. doi: 10.1109/IEMBS.2010.5626277.

Abstract

Modeling cognitive performance using home monitoring data is a new approach to managing neurologic conditions and for monitoring the effects of cognitive exercise interventions. The data consists of activity monitoring from motion sensors and specific cognitive metrics embedded within our adaptive computer games. The frequency and continuity of data collection allows us to analyze within subject trends of cognitive performance and to assess day to day variability. This approach provides a framework for clinicians and care managers to have the potential of detecting patients' cognitive problems early and to have timely feedback on treatment interventions.

摘要

利用家庭监测数据对认知表现进行建模是管理神经系统疾病和监测认知锻炼干预效果的一种新方法。数据包括来自运动传感器的活动监测以及我们自适应电脑游戏中嵌入的特定认知指标。数据收集的频率和连续性使我们能够分析个体内部认知表现的趋势,并评估每日的变异性。这种方法为临床医生和护理管理人员提供了一个框架,使其有可能早期发现患者的认知问题,并及时获得关于治疗干预的反馈。

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