Monitoring of cognitive state on mental retardation child using EEG, ECG and NIRS in four years study

Abstract

In this study, a monitoring system of cognitive state in usual behavior without restraint using wireless EEG, ECG and NIRS on developmental disorder children such as mental retardation was developed. By using this system we would like to investigate the education training effect on cognitive state in a mental retardation child in four years. The aim of special education is to make adaptations, accommodations and modification that allow a child with a mental retardation to succeed in classroom. This education training separated into two systems, resting state and studying state. After the measurement, we calculated the EEG power spectrum of alpha, theta bands and the low frequency power (LF), high frequency power (HF), and LH/HF value from the RR interval in ECG. At the same time we calculated the changes in concentration of oxyhemoglobin ([oxy-Hb]). The result in studying state showed theta power is lower than beta power in study state in the other hand beta power is lower than theta power in resting state From LF/HF activity we could know that sympathetic activity is increasing and from the result that has obtained from ECG, the parasympathetic activity is decreasing the time. NIRS showed the increasing in study states and decreasing in resting states at Fp2 area from oxyhemoglobin analysis.

Simultaneous functional near-infrared spectroscopy and electroencephalography for monitoring of human brain activity and oxygenation: a review

“… – 149 Other intraoperative environments for fNIRS–EEG were cardiac surgery 150 aortic arch repair in hypothermia or normothermia 152 and arthroscopic shoulder surgery 153 . Minor clinical applications were rehabilitation, 159 children development (mental retardation, 123 ADHD, 124 and TBI 125 ), and psychiatry (bipolar disorder, 154 schizophrenia, 155 and game addiction 156 ).…”

“…Zennifa et al 123 . monitored the unrestrained cognitive state of children with mental retardation using wireless combined fNIRS–EEG recordings.…”

Hybrid System for Engagement Recognition During Cognitive Tasks Using a CFS + KNN Algorithm

“…They are also practical, especially in a naturalistic condition. In a previous study, we implemented a hybrid system to study intellectual disability child during cognitive training [ 17 , 18 ].…”

“…These areas are highly correlated in cognitive activities [ 28 , 29 , 30 ]. The ECG was recorded on the chest (2-lead placement) [ 1 , 17 , 18 ]. We chose this position for the ECG to reduce the effect of artifact movements when the participant responded to the tasks.…”

“…All mentioned sensors are wireless sensors. Our previous work [ 17 , 18 ] used this system for monitoring the cognitive state in children with developmental disorders during a 7 year training period. This time we would like to do engagement recognition of the low-density hybrid system.…”