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基于脑电图的注意缺陷多动障碍诊断和治疗中的特征提取的系统评价。

A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder.

机构信息

Department of Electrical Engineering and Information Technologies (DIETI), University of Naples "Federico II", 80121 Naples, Italy.

Interdepartmental Research Center on Management and Innovation in Healthcare (CIRMIS), University of Naples "Federico II", 80121 Naples, Italy.

出版信息

Sensors (Basel). 2022 Jun 29;22(13):4934. doi: 10.3390/s22134934.

DOI:10.3390/s22134934
PMID:35808424
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269717/
Abstract

A systematic review on electroencephalographic (EEG)-based feature extraction strategies to diagnosis and therapy of attention deficit hyperactivity disorder (ADHD) in children is presented. The analysis is realized at an executive function level to improve the research of neurocorrelates of heterogeneous disorders such as ADHD. The Quality Assessment Tool for Quantitative Studies (QATQS) and field-weighted citation impact metric (Scopus) were used to assess the methodological rigor of the studies and their impact on the scientific community, respectively. One hundred and one articles, concerning the diagnostics and therapy of ADHD children aged from 8 to 14, were collected. Event-related potential components were mainly exploited for executive functions related to the cluster , whereas band power spectral density is the most considered EEG feature for executive functions related to the cluster . This review identifies the most used (also by rigorous and relevant articles) EEG signal processing strategies for executive function assessment in ADHD.

摘要

本文对基于脑电图（EEG）的特征提取策略进行了系统的综述，旨在诊断和治疗儿童注意缺陷多动障碍（ADHD）。该分析是在执行功能层面上进行的，以改善对 ADHD 等异质障碍的神经相关性的研究。质量评估工具（QATQS）和 Scopus 字段加权引用影响力指标用于分别评估研究的方法严谨性及其对科学界的影响。共收集了 101 篇关于 8 至 14 岁 ADHD 儿童诊断和治疗的文章。事件相关电位成分主要用于与聚类相关的执行功能，而频带功率谱密度是与聚类相关的执行功能中最常用的 EEG 特征。该综述确定了 ADHD 中用于评估执行功能的最常用（也是严格和相关的文章）EEG 信号处理策略。

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