Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic
Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic
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DOI：
10.1109/access.2021.3126067
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Shuqiong Wu;Taku Matsuura;Fumio Okura;Yasushi Makihara;Chengju Zhou;Kota Aoki;Ikuhisa Mitsugami;Yasushi Yagi
中科院分区：
文献类型：
--
作者：
Shuqiong Wu;Taku Matsuura;Fumio Okura;Yasushi Makihara;Chengju Zhou;Kota Aoki;Ikuhisa Mitsugami;Yasushi Yagi
简易精神状态检查（MMSE）被广泛用于临床筛查低认知状态。然而，它是有限的，因为它需要考官在场;并有固定的问题，限制其重复使用。因此，MMSE不能用作日常评估，以促进认知障碍的早期检测。为了解决这个问题，我们开发了一个自动化系统，通过分析涉及步进和计算的双重任务期间的表现来检测MMSE评分较低的老年人，该系统可以重复使用，因为它的问题是随机创建的。利用这一优势，本文提出了一种基于学习的方法来检测受试者的MMSE分数较低，使用多个试验的双任务系统。我们研究了各种模式，有效地结合在多个连续的试验中获得的功能，并分析了灵敏度的试验的数量$N$的检测性能，通过实验找到最佳的$N$。我们比较了我们的方法与以前的方法，并证明了我们的策略的优越性。使用交叉试验功能，我们的方法实现了整体性能（灵敏度+特异性）高达1.79，用于检测MMSE评分等于或小于23的老年人1.75用于检测MMSE评分等于或小于27的老年人（指示轻度认知障碍（MCI）的相对高的概率）。
The Mini-Mental State Examination (MMSE) is widely used in clinics to screen for low cognitive status. However, it is limited in that it requires examiners to be present; and has fixed questions that constrain its repeated use. Thus, the MMSE cannot be used as a daily assessment to facilitate early detection of cognitive impairment. To address this issue, we developed an automated system to detect older adults with lower MMSE scores by analyzing performance during a dual task involving stepping and calculation, which can be used repeatedly because its questions were randomly created. Leveraging this advantage, this paper proposes a learning-based method to detect subjects with lower MMSE scores using multiple trials with the dual-task system. We investigated various patterns for effectively combining the features acquired during multiple continuous trials, and analyzed the sensitivity of the number $N$ of trials on detection performance to find the optimal $N$ via experiments. We compared our approach with previous methods and demonstrated the superiority of our strategy. Using the cross-trial feature, our approach achieved an overall performance (sensitivity + specificity) as high as 1.79 for detecting older adults whose MMSE score is equal to or less than 23 (indicate a relatively high probability of dementia), and 1.75 for detecting older adults whose MMSE score is equal to or less than 27 (indicative of a relatively high probability of mild cognitive impairment (MCI)).