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arXiv 2512.01367cs.LG
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一种用于阿尔茨海默病早期检测的立方体复制测试精细评估方法

A Fine Evaluation Method for Cube Copying Test for Early Detection of Alzheimer's Disease

Anhui Jianzhu University(安徽建筑大学);Hefei Smart Healthcare Center & Apartment for Elderly, Hefei Industrial Investment Co., LTD(合肥产投集团合肥智慧养老中心暨老年公寓);Changhai Hospital, Second Military Medical University(第二军医大学长海医院)

Xinyu Jiang, Cuiyun Gao, Wenda Huang, Yiyang Jiang, Binwen Luo, Yuxin Jiang, Mengting Wang, Haoran Wen, Yang Zhao, Xuemei Chen, Songqun Huang

AI总结:

本研究提出基于动态手写特征提取的CCT精细评估方法,通过BiLSTM-Attention模型实现86.69%的分类准确率,揭示了立方体绘制能力得分与年龄、教育水平的显著相关性。

摘要:

背景:视觉空间认知功能损害是阿尔茨海默病(AD)最常见的早期临床表现。当蒙特利尔认知评估(MoCA)使用"0/1"二元方法("通过/不通过")评估以立方体复制测试(CCT)为代表的视觉空间认知能力时,受教育程度较低的老年人通常得0分,导致评估结果存在严重偏差。因此,本研究提出了一种基于动态手写特征提取的DH-SCSM-BLA的CCT精细评估方法。方法:我们团队独立开发的Cogni-CareV3.0软件用于收集CCT的动态手写数据。然后,对分割后的动态手写数据提取空间和运动特征,并对具有不等维度的特征矩阵进行归一化。最后,采用结合注意力机制的双向长短期记忆网络模型(BiLSTM-Attention)进行分类。结果:实验结果表明,所提出的方法相比类似研究具有显著优势,分类准确率为86.69%。立方体绘制能力得分在三种方面(如轻度认知障碍患者和健康对照组、年龄、教育水平)上具有显著规律性。还发现每个认知任务的得分,包括立方体绘制能力得分,与年龄呈负相关,与教育水平呈正相关。结论:本研究提供了一种相对客观且全面的评估方法,用于早期筛查和个性化干预视觉空间认知损害。

英文摘要:

Background: Impairment of visual spatial cognitive function is the most common early clinical manifestation of Alzheimer's Disease (AD). When the Montreal Cognitive Assessment (MoCA) uses the "0/1" binary method ("pass/fail") to evaluate the visual spatial cognitive ability represented by the Cube Copying Test(CCT), the elder with less formal education generally score 0 point, resulting in serious bias in the evaluation results. Therefore, this study proposes a fine evaluation method for CCT based on dynamic handwriting feature extraction of DH-SCSM-BLA. method : The Cogni-CareV3.0 software independently developed by our team was used to collect dynamic handwriting data of CCT. Then, the spatial and motion features of segmented dynamic handwriting were extracted, and feature matrix with unequal dimensions were normalized. Finally, a bidirectional long short-term memory network model combined with attention mechanism (BiLSTM-Attention) was adopted for classification. Result: The experimental results showed that: The proposed method has significant superiority compared to similar studies, with a classification accuracy of 86.69%. The distribution of cube drawing ability scores has significant regularity for three aspects such as MCI patients and healthy control group, age, and levels of education. It was also found that score for each cognitive task including cube drawing ability score is negatively correlated with age. Score for each cognitive task including cube drawing ability score, but positively correlated with levels of education significantly. Conclusion: This study provides a relatively objective and comprehensive evaluation method for early screening and personalized intervention of visual spatial cognitive impairment.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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