Digital Recognition and Evaluation of the Clock Drawing Test

被引：0

作者：

Oguz, Kaya ^{[1
]}

Canliturk, Batuhan ^{[2
]}

Kabar, Cem ^{[2
]}

Durukan, Onur ^{[2
]}

Ozceylan, Begum ^{[2
]}

机构：

[1] Izmir Econ Univ, Bilgisayar Muhendisligi Bolumu, TR-35330 Izmir, Turkey

[2] Izmir Econ Univ, Yazilim Muhendisligi Bolumu, TR-35330 Izmir, Turkey

来源：

2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2018年

关键词：

clock drawing test; character recognition; artificial neural networks; hough transform; MINI-MENTAL-STATE; ALZHEIMERS-DISEASE; DEMENTIA;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Dementia affects the lives of millions of people. Digital recognition and evaluation of the Clock Drawing Test that is used for diagnosis will remove subjective manual evaluation and will increase the awareness and early diagnosis. The proposed system evaluates the clocks drawn to the paper and loaded to it by extracting their graphical features. Besides image processing methods, artificial neural networks are used to detect the numbers. The results of the system are in accordance with the manual evaluation for 35 clocks drawn by healthy subjects.

引用

页数：4

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