Open AccessAutomated Early Detection of Alzheimer’s Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks
Author(s) -
Masatomo Kobayashi,
Yasunori Yamada,
Kaoru Shinkawa,
Miyuki Nemoto,
Kiyotaka Nemoto,
Tetsuaki Arai
Publication year - 2022
Publication title -
journal of alzheimer's disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.677
H-Index - 139
eISSN - 1875-8908
pISSN - 1387-2877
DOI - 10.3233/jad-215714
Subject(s) - task (project management) , cognition , computer science , set (abstract data type) , process (computing) , elementary cognitive task , cognitive impairment , artificial intelligence , cognitive psychology , psychology , engineering , neuroscience , programming language , operating system , systems engineering
Automatic analysis of the drawing process using a digital tablet and pen has been applied to successfully detect Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most studies focused on analyzing individual drawing tasks separately, and the question of how a combination of drawing tasks could improve the detection performance thus remains unexplored.