用于注意力缺陷诊断的全向机器人

Richard Camilo Bravo Angarita, Ivan Fernando Vargas Ochoa, Cesar Augusto Peña Cortes
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引用次数: 0

摘要

注意力缺陷多动障碍(ADHD)发生在16%的哥伦比亚学生群体中,估计这些儿童中有30-70%在成年后继续表现出症状。因此,根据《精神障碍诊断和统计手册》(DMS)提供的标准,为专业人员提供了一种支持诊断的工具。实现了一个全方位的平台,其设计引人注目,适用于儿童和青少年,这对成年人来说是一个集中注意力的挑战。使用脑电图(EEG)头盔可以读取脑电波;借助脑机接口(BCI),您可以读取面部手势,实现所述读取是为了控制全向平台,使用相同的脑机接口,您还可以读取个人的注意力、压力、兴奋等;因此,该领域的专业人员可以根据几个因素来支持他的诊断,例如:脑电图解释、情绪数据(注意力、压力、兴奋…)和对个人的观察。对患者的评估使健康专业化,产生了一些挑战来克服平台,并根据他们的专业标准解释不同的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Omnidirectional robot for the diagnosis of the attention deficit
Attention Deficit Hyperactivity Disorder (ADHD) occurs in 16% of the Colombian student population and estimates that between 30-70% of these children continue to show symptoms in adulthood. Thus, a tool is proposed for the professional to support his diagnosis according to the criteria offered by the Diagnostic and Statistical Manual of Mental Disorders (DMS). An omnidirectional platform is implemented, striking for its design, for children, adolescents and that becomes a concentration challenge for adults.With an Electroencephalography (EEG) helmet a brain wave reading is made; with the help of a Computer Brain Interface (BCI) you can have the reading of facial gestures, having said reading is implemented to control the omnidirectional platform, with the same BCI you also have the reading of concentration, stress, excitation, etc. of individuals; Thus, the professional in the area can support his diagnosis according to several factors, such as: EEG interpretation, emotional data (concentration, stress, excitement ...), and the observation of the individual. The evaluation of the patient makes the health professional, generating some challenges to overcome the platform and interpreting the different data according to their professional criteria.
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