Real-time transformation of electroencephalography signals into vectors of sleep spindle parameters
This thesis studies the phenomenon of sleep spindles. Sleep spindles are a distinct pattern that appears in electroencephalography signals during the second non-REM phase of sleep and they have been linked with brain functions like learning, memory consolidation and neuroplasticity. An automatic met...
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Language: | English |
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2023
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Online Access: | https://hdl.handle.net/10889/25406 |