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SYSTEM AND METHODS FOR EARLY DIAGNOSIS OF AUTISM SPECTRUM DISORDERS

机译:孤独症频谱疾病早期诊断的系统和方法

摘要

The present disclosure a system and methods for early diagnosis of neurodevelopmental or neurobehavioral diseases, such as autism spectrum disorders (“ASD”). In one aspect, a method for determining a risk for a neonatal patient to develop as ASD is provided. The method includes coupling a sensor assembly comprising plurality of electroencephalogram (“EEG”) sensors to a neonatal patient, and acquiring, using the sensor assembly, EEG data during a sleep state of the neonatal patient. The method also includes analyzing the EEG data to determine neural signatures indicative of a brain activity of the neonatal patient during the sleep state, and generating, based on the neural signatures, a composite representing a neurofunctional profile of the neonatal patient. The method further includes determining a risk for the neonatal patient to develop an autism spectrum disorder (“ASD”) by comparing the composite to a reference, and generating a report indicating the risk.
机译:本公开公开了一种用于神经发育或神经行为疾病,例如自闭症谱系障碍(“ ASD”)的早期诊断的系统和方法。在一方面,提供了一种用于确定新生儿患者发展为ASD的风险的方法。该方法包括将包括多个脑电图(“ EEG”)传感器的传感器组件耦合至新生儿患者,以及使用该传感器组件在新生儿患者的睡眠状态期间获取EEG数据。该方法还包括分析EEG数据以确定指示新生儿患者在睡眠状态期间的脑活动的神经特征,并基于该神经特征产生代表该新生儿患者的神经功能特征的复合物。该方法还包括通过将复合物与参考进行比较,确定新生儿患者发展为自闭症谱系障碍(“ ASD”)的风险,并生成指示该风险的报告。

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