An Approach to Measure and Improve the Cognitive Capability of ADHD Affected Children Through EEG Signals
An Approach to Measure and Improve the Cognitive Capability of ADHD Affected Children Through EEG Signals
复制标题
通过脑电图信号测量和提高多动症儿童认知能力的方法
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
V. K
中科院分区：
文献类型：
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作者：
Chandana S;V. K
注意缺陷多动障碍(ADHD)是一种常见的精神障碍，从童年开始，可以持续到青春期和成年期。这会让孩子很难集中注意力和注意力。目前的工作主要是为了预测由于ADHD综合征而显示异常的大脑可能区域。4-17岁年龄组的非ADHD和ADHD研究参与者的脑电数据是按照包含4个事件的方案收集的。闭上眼睛，睁开眼睛，视觉提示和运动活动。进行了单图分析和频率图分析。对非ADHD和ADHD患者进行了对比分析。为了便于可视化，对脑电信号进行了三维标绘。神经网络算法被用来区分相同任务的非ADHD参与者和ADHD参与者。ADHD患者在闭眼、睁眼和运动活动时的功率和标准差都较高，这是多动症的一个标志。然而，在非ADHD参与者中，所有参数都显示出明显较低的数值。建议的工作可用于评估受ADHD影响的儿童的学习能力，并在此基础上采用新的教学方法或技术来提高他们的学习能力。
Attention Deficit Hyperactivity disorder (ADHD) is a common mental disorder that begins in childhood and can continue through adolescence and adulthood. It makes it hard for a child to focus and pay attention. The present work is mainly designed to predict the probable region of brain that shows abnormality due to ADHD syndrome. EEG data of non – ADHD and ADHD study participants of age group 4-17 years has been collected following a protocol which contains 4 events. Eyes close, Eyes open, Visual Cue and Motor activity. Single map analysis and Frequency map analysis is performed. Comparative analysis is carried out between the non – ADHD and ADHD paricipants.3-D plotting of the EEG signals is performed for ease of visualization. Neural network algorithm is used to distinguish between non – ADHD and ADHD participants for the same task performed. Higher power and higher standard deviation is found in the ADHD patients when eyes closed, eyes open and in motor activity, which is an indication of hyper active nature. However, in the non – ADHD participants, all the parameters show significantly lower values. The proposed work can be used for assessment of learning capability of ADHD affected children and based on which, new methodology or techniques of teaching can be adopted to enhance their learning capability.
影响因子：
0.9
作者：
Muhammed Ather;G. Salmon
通讯作者：
Muhammed Ather;G. Salmon