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pro vyhledávání: '"Gianluca Federici"'
Autor:
Vinícius Rosa Cota, Simone Del Corso, Gianluca Federici, Gabriele Arnulfo, Michela Chiappalone
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5816 (2024)
The objective and automatic detection of the sleep–wake cycle (SWC) stages is essential for the investigation of its physiology and dysfunction. Here, we propose a machine learning model for the classification of SWC stages based on the measurement
Externí odkaz:
https://doaj.org/article/bf998ba2ff834158811a4fc9a6d776d9