Predicting brain age based on sleep EEG and DenseNet

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)

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摘要
We proposed a sleep EEG-based brain age prediction model which showed higher accuracy than previous models. Six-channel EEG data were acquired for 6 hours sleep. We then converted the EEG data into 2D scalograms, which were subsequently inputted to DenseNet used to predict brain age. We then evaluated the association between brain aging acceleration and sleep disorders such as insomnia and OSA.The...
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关键词
Correlation,Sleep,Biological system modeling,Accelerated aging,Predictive models,Tools,Brain modeling
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