Automated search for events sleep "sleep spindles"
Abstract
Automated search for events sleep "sleep spindles"
Incoming article date: 16.08.2014In the article the method of automated analysis of polysomnographic (PSG) study is described designed to detect sleep event named "sleep spindle". PSG study by its origin is rather long (8-12 hours) and because of that automation of its analysis is an actual problem. In the text the process of processing and analysis of PSG study is described stage by stage. The algorithm can be divided in to the following stages: selection of the window size and offset value for FFT, detection of dominant frequency for each interval, building the distribution of dominant frequencies (histogram), selecting the frequency value from all frequency range that probably will match the sleep spindles frequency. Following this from the preliminary selected intervals with the known values of dominant frequencies the ones are chosen which are correspond to the value of sleep spindles frequency. The last stage is the control of the condition of event duration. The description of the algorithm is illustrated with the real recording illustrations for each step.
Keywords: polysomnography, PSG, sleep spindles, sleep, sleep events, EEG