Hou C J, Huang M W, Zhou J Y, Hsu P C, Zeng J H, Chen Y T
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:2586-2589. doi: 10.1109/EMBC.2017.8037386.
The aim of this study was to develop a task set based on personalized material for nostalgic experience, which could detect cognitive ability via a virtual experience system combined with Kinect somatosensory interactive operation applications without the user wearing any accessory input device. Fifty-nine subjects participated in the experiment. The receiver operating characteristic curve of the game system was statistically analyzed for determining the best cutoff-point in the cognitive function assessment. Correlation analysis and regression analysis were used to explore the correlations between the results and the clinical cognitive assessment scales. According to the MoCA scores, the results showed that the accuracy of the system was 86.4% in evaluating mild cognitive impairment. The system seems feasible and was strongly correlated with clinical cognitive assessment scales. We anticipate that daily use of our system could keep track of changes of cognitive function of the elderly in home life.
本研究的目的是开发一套基于个性化怀旧体验材料的任务集,该任务集可通过结合Kinect体感交互操作应用的虚拟体验系统检测认知能力,而无需用户佩戴任何辅助输入设备。59名受试者参与了实验。对游戏系统的接收者操作特征曲线进行统计分析,以确定认知功能评估中的最佳临界点。采用相关性分析和回归分析来探索结果与临床认知评估量表之间的相关性。根据蒙特利尔认知评估量表(MoCA)得分,结果显示该系统在评估轻度认知障碍方面的准确率为86.4%。该系统似乎可行,且与临床认知评估量表密切相关。我们预计,日常使用我们的系统可以跟踪老年人在家生活中认知功能的变化。