What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm
文献类型：期刊论文
| 作者 | Zhang, Yingwei1,2; Chen, Yiqiang1,2,3; Yu, Hanchao1; Lv, Zeping4; Yang, Xiaodong1,2; Hu, Chunyu5; Zhang, Tengxiang1,2 |
| 刊名 | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
 |
| 出版日期 | 2021 |
| 卷号 | 145页码:18 |
| 关键词 | Mild cognitive impairment Hand motor function Dual-task Touchscreen |
| ISSN号 | 1071-5819 |
| DOI | 10.1016/j.ijhcs.2020.102547 |
| 英文摘要 | Early diagnosis of mild cognitive impairment (MCI) is critical for reducing the incidence of serious neurode-generative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, are expensive, time-consuming, or not user-friendly. In this study, we designed cogSYS to explore the feasibility and accuracy of detecting MCI through one-minute hand motor function assessment. Inspired by a clinically validated screening test, cogSYS contains a series of touchscreen-based colorful block "drag & drop" tasks, including four unilateral gross manual dexterity single-tasks and three language function related dual-tasks for each single task. We study how to design and optimize these interactive tasks, and evaluate them through three user studies (i.e., effectiveness verification, cortical activation analysis, and user experience feedback). Experimental results show that cogSYS can detect MCI effectively, with a mean accuracy of 82.4%. Furthermore, by statistical comparison on features, we discover that the velocity and time-based features of failure circumstance are the most effective among all the features. These discoveries can provide insights for follow-up research and clinical applications. Cortical activation analysis shows that bilateral prefrontal cortices, bilateral motor cortices, and the occipital lobe are involved in "drag & drop" tasks, proving the effectiveness of cogSYS in specific cognitive functions. User experience feedback shows that the subjects evaluate highly to cogSYS and provide valuable information for further improvements. |
| 资助项目 | National Key Research and Development Plan of China[2017YFB1002801] ; Natural Science Foundation of China[61972383] ; Key-Area Research and Development Program of Guangdong Province[2019B010109001] ; Alibaba Group through Alibaba Innovative Research (AIR) Program |
| WOS研究方向 | Computer Science ; Engineering ; Psychology |
| 语种 | 英语 |
| WOS记录号 | WOS:000587291600004 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/16029]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Chen, Yiqiang; Lv, Zeping |
| 作者单位 | 1.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Peng Cheng Lab, Shenzhen 518066, Peoples R China 4.Natl Res Ctr Rehabil Tech Aids, Beijing Key Lab Rehabil Tech Aids Old Age Disabil, Beijing 100176, Peoples R China 5.Qilu Univ Technol, Sch Comp Sci & Technol, Shandong Acad Sci, Jinan 250353, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Yingwei,Chen, Yiqiang,Yu, Hanchao,et al. What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm[J]. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES,2021,145:18. |
| APA | Zhang, Yingwei.,Chen, Yiqiang.,Yu, Hanchao.,Lv, Zeping.,Yang, Xiaodong.,...&Zhang, Tengxiang.(2021).What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm.INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES,145,18. |
| MLA | Zhang, Yingwei,et al."What can "drag & drop" tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm".INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES 145(2021):18. |
入库方式： OAI收割
来源：计算技术研究所
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