{"title":"Alzheimer Screening using Drawing Test Scores","authors":"Subhorn Khonthapagdee, Sira Lownoppakul, Nattawit Chotchoey, Nuwee Wiwatwattana, Sophon Mongkolluksamee, V. Sa-Ing","doi":"10.1109/ecti-con49241.2020.9158244","DOIUrl":null,"url":null,"abstract":"Screening for Alzheimer's disease is an important step in the effort to detect and inhibit the progress of Alzheimer’s disease. The purpose of this research is to develop an application for a clock drawing test which is often seen as a part of the Alzheimer’s screening tests such as the Montreal Cognitive Assessment (MoCA) test and the Clock Drawing Test (CDT). For our clock drawing testing, the full score is three points. The first point is from drawing the rounded contour. The second point is from drawing the clock numbers in the correct order. The third point is from drawing the clock hands correctly according to the test command. For the contour drawing and the clock hands drawing, a series of Image Processing techniques are used to check the roundness property of the contour and the shape of the clock hands. MNIST Classifier Model is used to detect the clock numbers and rule-based checking is then employed to give the score. During the evaluation, the application gives a score between 0 and 3 points, and this score is added up with the rest of the application. The results from 50 low-risk people showed that 74 percent of them received 3 points, 22 percent received 2 points and 4 percent received only 1 point.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ecti-con49241.2020.9158244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Screening for Alzheimer's disease is an important step in the effort to detect and inhibit the progress of Alzheimer’s disease. The purpose of this research is to develop an application for a clock drawing test which is often seen as a part of the Alzheimer’s screening tests such as the Montreal Cognitive Assessment (MoCA) test and the Clock Drawing Test (CDT). For our clock drawing testing, the full score is three points. The first point is from drawing the rounded contour. The second point is from drawing the clock numbers in the correct order. The third point is from drawing the clock hands correctly according to the test command. For the contour drawing and the clock hands drawing, a series of Image Processing techniques are used to check the roundness property of the contour and the shape of the clock hands. MNIST Classifier Model is used to detect the clock numbers and rule-based checking is then employed to give the score. During the evaluation, the application gives a score between 0 and 3 points, and this score is added up with the rest of the application. The results from 50 low-risk people showed that 74 percent of them received 3 points, 22 percent received 2 points and 4 percent received only 1 point.