A Dementia Classification Framework using Frequency and Time-frequency Features based on EEG signals.

Pholpat Durongbhan,Yifan Zhao,Liangyu Chen,Panagiotis Zis,Matteo De Marco,Zoe C Unwin,Annalena Venneri,Xiongxiong He,Sheng Li,Yitian Zhao,Daniel J Blackburn,Ptolemaios G Sarrigiannis

IEEE Transactions on Neural Systems and Rehabilitation Engineering（2019）

引用 70|浏览41

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摘要

Alzheimer's disease (AD) accounts for 60%-70% of all dementia cases, and clinical diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify disease progression or alleviate symptoms are being developed, to assess their efficacy, novel robust biomarkers of brain function are urgently required. This paper aims to explore a routine to gain such biomarkers using the qu...

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关键词

Electroencephalography,Feature extraction,Time-frequency analysis,Dementia,Biomarkers,Classification algorithms

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