4 research outputs found
Automated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies
Automated Sleep Spindle Detection System using Period-Amplitude Analysis
Sleep spindles are rhythmic transient waveforms present in the
electroencephalogram (EEG) of non-rapid eye movement (NREM) sleep. In
the present study a period-amplitude analysis method was applied for the
automated detection of sleep spindles in all-night sleep EEG recordings
of young healthy subjects. The method relies on the characterization of
individual half-waves of the EEG data, by estimating electrographic
parameters such as amplitude and duration and by assigning a grade to
each half-wave depending on where it lies in the amplitude-frequency
plane. The grading is followed by the detection system, checking
consecutive half-wave characteristics and implementing a set of rules
for determining the start and the end of spindle bursts and for
retaining or rejecting sleep spindle indications provided during the
various stages of the detection system. The sensitivity and false
positive rate across subjects was 78.9% and 10.9%, respectively,
providing indication that the method could be successfully applied to
larger sets of healthy subjects of various age groups, as well as to
patient populations