Dual-CNN based multi-modal sleep scoring with temporal correlation driven fine-tuning

Neurocomputing(2021)

Cited 15|Views82
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Abstract
•Dual-CNN copes with multi-modal neural signals without excessive a priori knowledge.•RNN based constraining strategy handles epoch-level temporal correlations.•Customized Markov chain amortizes the scoring bias caused by imbalance of brain state.•A lightweight solution to sleep scoring excels in accuracy with promotion of 2.9%.
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Key words
Sleep scoring framework,Multi-modal classification,Temporal correlation,EEG,Polysomnography
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