In this study, each EEG signal is divided into a set of segments using a sliding window technique. Based on extensive experiments during the training phase, the size of the sliding window is set to 0.5 s (s). Then a set of statistical, fractal, frequency and non-linear features are ...
Electroencephalogram (EEG) segments in stage 2 sleep containing an evoked K-complex or spontaneous K-complex were separately averaged with respect to the peak of N300, one of the main components constituting the K-complex. Small negative and positive components were found immediately before the main...
In the second part of the present study, EEG segments in stage 2 sleep containing an evoked K-complex or spontaneous K-complex were separately averaged with respect to the peak of N300, one of the main components constituting the K-complex. Small negative and positive components were found ...
Compared to normal control subjects, patients with primary restless legs syndrome (RLS) have an increased number of K-complexes, followed by bursts of electroencephalographic (EEG) alpha activity-together these are referred to as K-alpha complexes. In the present study, a large proportion of K-...
Sleep spindle and K-complex detection for sleep EEG using sparse optimization This repository houses the demo code for the following paper: A. Parekh, I.W. Selesnick, D. Rapaport, I.Ayappa, Detection of K-complexes and sleep spindles (DETOKS) using sparse optimization, Journal of Neuroscience ...
Deep LearningYolov3EEGObject detectionArtificial intelligenceMachine learningAUTOMATIC DETECTIONSLEEPCluster Computing - The K-complex is one of the most important and noticeable features in the electroencephalography (EEG) signal, therefore its detection is critical for EEG signal analysis. It is......
The results demonstrate that the proposed approach is efficient in identifying the k-complexes in EEG signals; it yields optimal results with a window size 0.5s. It can be an effective tool for sleep stages classification and can be useful for doctors and neurologists for diagnosing sleep ...
Joint time and time-frequency optimal detection of K-complexes in sleep EEG. Comput Biomed Res 1998;31:209-29.C. RICHARD and R. LENGELLE, "Joint Time and Time-Frequency Optimal Detection of K-complexes in Sleep EEG," Computers and Biomedical Research, vol. 31, pp. 209-229, 1998....
Sleep EEGK-complexSVDVMDSleep staging process is applied to diagnose sleepdoi:10.1007/s00521-024-09981-8YucelbasNecmettinCuneytNecmettinSuleNecmettinOzsenNecmettinSeralNecmettinTezelNecmettinGulayNecmettinKuccukturkNecmettinSerkanNecmettin
However, the thalamic finding for the K-complexes may still be related to the spindle associated with each K-complex because the fMRI temporal resolution does not allow differentiation of events occuring in the same TR. Each discharge also corresponds to signal subjacent to the EEG event, which ...