Sleep is an important research area in nutritional medicine that plays a crucial role in human
physical and mental health restoration. It can influence diet, metabolism, and hormone …

Background This paper addresses the problem of detecting sleep spindles and K-
complexes in human sleep EEG. Sleep spindles and K-complexes aid in classifying stage 2 …

The study of sleep stages and the associated signals have emerged as a very important
parameter to identify the neurological disorders and test of mental activities nowadays …

A novel framework for joint detection of sleep spindles and K-complex events, two hallmarks
of sleep stage S2, is proposed. Sleep electroencephalography (EEG) signals are split into …

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 …

K-complexes identification is a challenging task in sleep research. The detection of k-
complexes in electroencephalogram (EEG) signals based on visual inspection is time …

Sleep scoring is one of the primary tasks for the classification of sleep stages using
electroencephalogram (EEG) signals. It is one of the most important diagnostic methods in …

In recent years, spindle-shaped electrical activity became interesting for researchers looking
for new methods of time-frequency analysis of electromyograms (EMG) and acceleration …

In this paper, we propose a novel method for automatic k-complex (KC) detection in human
sleep EEG, named MT-KCD. KCs are slow oscillations in the EEG signal characterized by a …

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 …