Sleep specialists often conduct manual sleep stage scoring by visually inspecting the
patient's neurophysiological signals collected at sleep labs. This is, generally, a very difficult …

The present review attempts to put together the available evidence and potential research
paradigms at the interface of obstructive sleep apnea syndrome (OSAS), sleep micro-and …

Sleep staging is a significant process to diagnose sleep disorders. Like other stages, several
parameters are required for the determination of N-REM2 stage. Sleep spindles (SSs) are …

As a hallmark of N2 sleep stage, sleep spindle detection based on electroencephalogram
(EEG) recordings plays a crucial role in analyzing sleep. Hence, how to effectively …

Abstract Background/Objectives: In this study, Fast Fourier Transform (FFT), Welch,
Autoregressive (AR) and MUSIC methods were implemented to detect sleep spindles (SSs) …

Nowadays, sleep disorders are contemplated as the major issue in the human lives. The
current work aims at extraction of time-frequency information from recorded dataset and …

Time synchronization of spindles and slow wave oscillation in nocturnal EEG Page 1 Time
synchronization of spindles and slow wave oscillation in nocturnal EEG Katja Törmä Master’s …

We proposed a signal decomposition algorithm for the electroencephalogram (EEG), which
is separated into short oscillation, long oscillation, low frequency component, and the …

Sleep spindles are characteristic events in EEG signals during non-REM sleep, and are
known to be important biological markers. Manually labeling spindles by visual inspection …

In this paper, we addressed the decomposition problem of electroencephalogram and the
detection of sleep spindles and K-complexes. We propose an approach to decompose the …