A single channel sleep-spindle detector based on multivariate classification of EEG epochs: MUSSDET.

Journal of Neuroscience Methods Volume 297 2018 DanielLachner-PizaNino EpitashviliAndreas Schulze-BonhageThomas StieglitzJulia JacobsMatthias Dümpelmann

BACKGROUND: Studies on sleep-spindles are typically based on visual-marks performed by experts, however this process is time consuming and presents a low inter-expert agreement, causing the data to be limited in quantity and prone to bias. An automatic detector would tackle these issues by generating large amounts of objectively marked data... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Spindle Detection MASS SS2 MUSSDET F1-score (@IoU = 0.3) 0.39 # 6