首页> Journal of neuroscience methods> Independent evaluation of the harvard automated processing pipeline for Electroencephalography 1.0 using multi-site EEG data from children with Fragile X Syndrome.

Independent evaluation of the harvard automated processing pipeline for Electroencephalography 1.0 using multi-site EEG data from children with Fragile X Syndrome.

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第一作者： Emma,Auger

第一单位： Department of Psychology, University of Oklahoma, Norman, OK 73019-2007, USA.

作者： Emma,Auger ^[1] ; Elizabeth M,Berry-Kravis ^[2] ; Lauren E,Ethridge ^[3]

作者单位： Department of Psychology, University of Oklahoma, Norman, OK 73019-2007, USA. ^[1] Department of Pediatrics, Neurological Sciences, and Biochemistry, Rush University Medical Center, Chicago, IL 60612, USA. ^[2] Department of Psychology, University of Oklahoma, Norman, OK 73019-2007, USA; Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA. Electronic address: ethri@ou.edu. ^[3]

关键词 Artifact removal Automated processing EEG EEG Artifacts Electroencephalography FXS Fragile X syndrome HAPPE HLM Neurodevelopmental disorders SNR Signal-to-noise ratio Simulated data

医学主题词算法(Algorithms);伪迹(Artifacts);儿童(Child);儿童, 学龄前(Child, Preschool);脑电描记术(Electroencephalography);脆性X综合征(Fragile X Syndrome);人类(Humans);信号处理, 计算机辅助(Signal Processing, Computer-Assisted)

DOI 10.1016/j.jneumeth.2022.109501

PMID 35182604

发布时间 2024-09-23

基金项目

P50 HD103526/HD/NICHD NIH HHS/United States U01 NS077179/NS/NINDS NIH HHS/United States U01 NS077352/NS/NINDS NIH HHS/United States U01 NS096767/NS/NINDS NIH HHS/United States

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