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Optimization of sigma amplitude threshold in sleep spindle detection
Author(s) -
Huupponen E.,
Värri A.,
Himanen S.L.,
Hasan J.,
Lehtokangas M.,
Saarinen J.
Publication year - 2000
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1046/j.1365-2869.2000.00220.x
Subject(s) - amplitude , sleep spindle , waveform , threshold limit value , sleep (system call) , eye movement , sensitivity (control systems) , electroencephalography , computer science , audiology , artificial intelligence , physics , non rapid eye movement sleep , psychology , neuroscience , engineering , optics , electronic engineering , medicine , telecommunications , radar , environmental health , operating system
Sleep spindles are transient EEG waveforms of non‐rapid eye movement sleep. There is considerable intersubject variability in spindle amplitudes. The problem in automatic spindle detection has been that, despite this fact, a fixed amplitude threshold has been used. Selection of the spindle detection threshold value is critical with respect to the sensitivity of spindle detection. In this study a method was developed to estimate the optimal recording‐specific threshold value for each all‐night recording without any visual scorings. The performance of the proposed method was validated using four test recordings each having a very different number of visually scored spindles. The optimal threshold values for the test recordings could be estimated well. The presented method seems very promising in providing information about sleep spindle amplitudes of individual all‐night recordings.