Fast Convolutional Method for Automatic Sleep Stage Classification.
Conclusions: The fast convolutional method worked well on the tested datasets. It achieved a high F-measure result and an efficient running time. Thus, it can be considered a promising tool for sleep stage classification.
PMID: 30109150 [PubMed]
Source: Healthcare Informatics Research - Category: Information Technology Tags: Healthc Inform Res Source Type: research
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