Toward an objective indexing system for ADHD-screening using children's activity monitoring.
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.
Kam
Hye Jin
HJ
Department of Medical Informatics, School of Medicine, Ajou University, Suwon, Republic of Korea.
Choi
Jong Pil
JP
Park
Rae Woong
RW
D000043:Abstracting and Indexing / Q000379:methods*; D000293:Adolescent; D001289:Attention Deficit Disorder with Hyperactivity / Q000145:classification* / Q000175:diagnosis*; D002648:Child; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D007723:Korea; D008297:Male; D008403:Mass Screening / Q000379:methods*; D008991:Monitoring, Physiologic / Q000379:methods*; D009043:Motor Activity; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity