Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383067033> ?p ?o ?g. }
- W4383067033 endingPage "113274" @default.
- W4383067033 startingPage "113274" @default.
- W4383067033 abstract "Alzheimer’s disease (AD) is one of the most prevalent neurodegenerative disorders in the world. Although there is no known cure for it at the present, preventive drug trials and therapeutic control have been recently developed. Hence, the development of clinical algorithms for early detection or biomarker identification has received a great deal of interest. Electroencephalogram (EEG) signal as a noninvasive and cost-effective clinical tool with a high temporal resolution has drawn considerable attention to the development of automatic AD detection, monitoring, or prediction algorithms. However, EEG recording protocols, demographic and clinical features of subjects, non-stationary nature, and individual differences in EEG data affect the generalization of state-of-the-art methods. This paper has provided an overview of EEG-based studies that tried to develop electrophysiological biomarkers or propose an automatic system associated with AD detection or classification. It promises to exhaustively investigate the complete process of AD diagnosis from row EEG signals recording to decision making that contains different data collection protocols, pre-processing, feature extraction, post-processing, and decision-making strategies. The advantages, drawbacks, and contributions of each step to the field have been discussed. Finally, insights into the future investigations of automatic AD detection systems have been provided." @default.
- W4383067033 created "2023-07-05" @default.
- W4383067033 creator A5020012713 @default.
- W4383067033 creator A5053493725 @default.
- W4383067033 creator A5063176732 @default.
- W4383067033 date "2023-10-01" @default.
- W4383067033 modified "2023-10-10" @default.
- W4383067033 title "A systematic review and methodological analysis of EEG-based biomarkers of Alzheimer's disease" @default.
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