TY - GEN
T1 - ADHD assessment and testing system design based on virtual reality
AU - Lee, Hansey
AU - Li, Youdi
AU - Yeh, Shih Ching
AU - Huang, Yanyan
AU - Wu, Zhengyu
AU - Du, Zanli
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Attention deficit hyperactivity disorder (ADHD) is a common psychological and behavioral disorder in children, adolescents, and even some adults. Several symptoms are observed in ADHD patients, such as difficulty in paying attention, hyperactivity, impulsivity, and cognitive abnormalities. In the past, clinical diagnosis of ADHD was mainly conducted through a paper test scale based on relevant standards. Subsequently, although the time efficiency of test based on computer has improved, disadvantages have remained, for those tests being too tedious to attract the interest of individuals and being restricted by the content and the type. In this study, a combination of virtual reality, eye tracking, and electroencephalogram (EEG) signal acquisition technologies was used to conduct diagnostic assessment and testing on patients with ADHD. Selective attention, sustained attention, abstract reasoning, and cognitive transfer abilities were evaluated by performing visual and auditory continuous performance test (CPT) and the Wisconsin card sorting test (WCST) in a 3D virtual classroom with optional distraction factors. This study also preliminarily analyzed the eye tracking and EEG data and validated their effectiveness and convenience in ADHD diagnosis. The system may provide a deeper level of ADHD diagnosis and cognitive rehabilitation.
AB - Attention deficit hyperactivity disorder (ADHD) is a common psychological and behavioral disorder in children, adolescents, and even some adults. Several symptoms are observed in ADHD patients, such as difficulty in paying attention, hyperactivity, impulsivity, and cognitive abnormalities. In the past, clinical diagnosis of ADHD was mainly conducted through a paper test scale based on relevant standards. Subsequently, although the time efficiency of test based on computer has improved, disadvantages have remained, for those tests being too tedious to attract the interest of individuals and being restricted by the content and the type. In this study, a combination of virtual reality, eye tracking, and electroencephalogram (EEG) signal acquisition technologies was used to conduct diagnostic assessment and testing on patients with ADHD. Selective attention, sustained attention, abstract reasoning, and cognitive transfer abilities were evaluated by performing visual and auditory continuous performance test (CPT) and the Wisconsin card sorting test (WCST) in a 3D virtual classroom with optional distraction factors. This study also preliminarily analyzed the eye tracking and EEG data and validated their effectiveness and convenience in ADHD diagnosis. The system may provide a deeper level of ADHD diagnosis and cognitive rehabilitation.
KW - ADHD
KW - continuous performance test
KW - electroencephalogram
KW - eye tracking
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85049420741&partnerID=8YFLogxK
U2 - 10.1109/INCIT.2017.8257860
DO - 10.1109/INCIT.2017.8257860
M3 - 會議論文篇章
AN - SCOPUS:85049420741
T3 - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
SP - 1
EP - 5
BT - Proceeding of 2017 2nd International Conference on Information Technology, INCIT 2017
A2 - Sawangphol, Wudhichart
A2 - Mitrpanont, Jarernsri L.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Information Technology, INCIT 2017
Y2 - 2 November 2017 through 3 November 2017
ER -