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Updated: Jun 28, 2026

Using Brain Activation (nir-HEG/Q-EEG) and Execution Measures (CPTs) in a ADHD Assessment Protocol
Published on: April 1, 2018
Toward an objective indexing system for ADHD-screening using children's activity monitoring
Hye Jin Kam1, Jong Pil Choi, Rae Woong Park
1Department of Medical Informatics, School of Medicine, Ajou University, Suwon, Republic of Korea.
Abstract:
Signs of ADHD are discernible in specific situations, and usually assessed according to subjective impressions. We performed a preliminary comparative study from children's activity at a natural classroom environment with 3-axis accelerator for a feasible objective index. From a total of 157 children (7-9 yrs) and clinically diagnosed 24 children out of them, variances in 1-min epoch mean activity had shown significant differences among the subgroups: (1) ADHD=.0194, Other Diseases=.0080, Normal=.0009; (2) ADHD=.0194, non-ADHD=.0057(p<.01, respectively). There were also significant differences in high-level activity (>1.6G) features among subgroups with the same order (p<.01, respectively). ADHD patients exhibited more dispersed activities and higher high-level activity ratio than normal. Activity features can be useful to build an objective indexing system for screening ADHD patients.
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