@inproceedings{655f718cff2a49d9b8d742541f4c4ece,
title = "Utilizing Motor-Imagery Brain-Computer Interfaces for the Assessment of Developmental Coordination Disorder in Children",
abstract = "Developmental Coordination Disorder (DCD) is a neurodevelopmental disorder characterized by significant motor difficulties that affect daily life. Current assessment methods primarily focus on behavioral analysis, lacking in neuroscientific metrics for a comprehensive evaluation. This study introduced an electroencephalography-based motor imagery brain-computer interface classification system for evaluating children with DCD. A key of this system was the implementation of entropy-based data screening, which markedly enhanced classification performance. Notably, using mu band power in a support vector machine achieved an accuracy rate of 79.0%. These findings pave the way for developing a tool that could assist professionals in identifying children potentially affected by DCD.",
keywords = "Brain-Computer Interfaces, Developmental Coordination Disorder, Electroencephalography, Motor Imagery",
author = "Lee, {Kuan Yi} and Chang, {Kong Yi} and Hsu, {Hao Che} and Tseng, {Yu Ting} and Wei, {Chun Shu} and Lin, {Shih Syun} and Chuang, {Chun Hsiang}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 ; Conference date: 15-07-2024 Through 19-07-2024",
year = "2024",
doi = "10.1109/EMBC53108.2024.10781534",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings",
address = "美國",
}