{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T22:51:59Z","timestamp":1780527119597,"version":"3.54.1"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Modern TCM Diagnosis and Treatment Equipment R&D Project","award":["2021C03116"],"award-info":[{"award-number":["2021C03116"]}]},{"name":"Modern TCM Diagnosis and Treatment Equipment R&D Project","award":["2021JKZDZC04"],"award-info":[{"award-number":["2021JKZDZC04"]}]},{"DOI":"10.13039\/501100004863","name":"Zhejiang Chinese Medical University","doi-asserted-by":"publisher","award":["2021C03116"],"award-info":[{"award-number":["2021C03116"]}],"id":[{"id":"10.13039\/501100004863","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004863","name":"Zhejiang Chinese Medical University","doi-asserted-by":"publisher","award":["2021JKZDZC04"],"award-info":[{"award-number":["2021JKZDZC04"]}],"id":[{"id":"10.13039\/501100004863","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2022,3,29]]},"abstract":"<jats:p>Objective. As the preclinical stage of Alzheimer\u2019s disease (AD), Mild Cognitive Impairment (MCI) is characterized by hidden onset, which is difficult to detect early. Traditional neuropsychological scales are main tools used for assessing MCI. However, due to its strong subjectivity and the influence of many factors such as subjects\u2019 educational background, language and hearing ability, and time cost, its accuracy as the standard of early screening is low. Therefore, the purpose of this paper is to propose a new key technology of fast digital early warning for MCI based on eye movement objective data analysis. Methodology. Firstly, four exploratory indexes (test durations, correlation degree, lengths of gaze trajectory, and drift rate) of MCI early warning are determined based on the relevant literature research and semistructured expert interview; secondly, the eye movement state is captured based on the eye tracker to realize the data extraction of four exploratory indexes. On this basis, the human-computer interactive 2.5-minute fast digital early warning paradigm for MCI is designed; thirdly, the rationality of the four early warning indexes proposed in this paper and their early warning effectiveness on MCI are verified. Results. Through the small sample test of human-computer interactive 2.5 fast digital early warning paradigm for MCI conducted by 32 elderly people aged 70\u201390 in a medical institution in Hangzhou, the two indexes of \u201ccorrelation degree\u201d and \u201cdrift rate\u201d with statistical differences are selected. The experiment results show that AUC of this MCI early warning paradigm is 0.824. Conclusion. The key technology of human-computer interactive 2.5 fast digital early warning for MCI proposed in this paper overcomes the limitations of the existing MCI early warning tools, such as low objectification level, high dependence on professional doctors, long test time, requiring high educational level, and so on. The experiment results show that the early warning technology, as a new generation of objective and effective digital early warning tool, can realize 2.5-minute fast and high-precision preliminary screening and early warning for MCI in the elderly.<\/jats:p>","DOI":"10.1155\/2022\/2495330","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T00:35:11Z","timestamp":1648600511000},"page":"1-15","source":"Crossref","is-referenced-by-count":4,"title":["Exploratory Research on Key Technology of Human-Computer Interactive 2.5-Minute Fast Digital Early Warning for Mild Cognitive Impairment"],"prefix":"10.1155","volume":"2022","author":[{"given":"Nan","family":"Li","sequence":"first","affiliation":[{"name":"School of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou 310053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China"},{"name":"Zhejiang-Japan Joint Laboratory of Digital Diagnosis and Treatment and Equipment for Major Brain Diseases, Zhejiang Chinese Medical University, Hangzhou 310053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wencai","family":"Du","sequence":"additional","affiliation":[{"name":"University of Saint Joseph, Estrada Marginal da Ilha Verde 14-17, Macau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsushi","family":"Ogihara","sequence":"additional","affiliation":[{"name":"Department of Health Sciences and Social Welfare, Faculty of Human Sciences, Waseda University, Tokorozawa, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Public Health, Hangzhou Normal University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowen","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China"},{"name":"Zhejiang-Japan Joint Laboratory of Digital Diagnosis and Treatment and Equipment for Major Brain Diseases, Zhejiang Chinese Medical University, Hangzhou 310053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujia","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China"},{"name":"Zhejiang-Japan Joint Laboratory of Digital Diagnosis and Treatment and Equipment for Major Brain Diseases, Zhejiang Chinese Medical University, Hangzhou 310053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuwu","family":"Li","sequence":"additional","affiliation":[{"name":"Kaibo Medical Equipment (Hangzhou) Co., Ltd., Hangzhou 310052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3519-8814","authenticated-orcid":true,"given":"Kai","family":"Li","sequence":"additional","affiliation":[{"name":"School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China"},{"name":"Zhejiang-Japan Joint Laboratory of Digital Diagnosis and Treatment and Equipment for Major Brain Diseases, Zhejiang Chinese Medical University, Hangzhou 310053, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(06)68542-5"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0142388"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2016.03.001"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1007\/s11065-016-9321-5"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2011.03.008"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1002\/gps.1659"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.14283\/jpad.2017.1"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-021-00821-8"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s11065-015-9283-z"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2013.00467"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1111\/ejn.12617"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1212\/wnl.0b013e3182a6cbfe"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1136\/practneurol-2014-000883"},{"issue":"02","key":"14","first-page":"146","article-title":"Diagnostic value of exploratory eye trajectory movement in mild cognitive impairment and early Alzheimer\u2019s disease","volume":"27","author":"J. 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