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......
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...
To interrelate K-complexes, spindles, evoked response potentials (ERPs), and spontaneous electroencephalography (EEG) using neural field theory (NFT), physiology-based NFT of the corticothalamic system is used to model cortical excitatory and inhibitory populations and thalamic relay and reticular nucl...
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 ...
An alteration often observed in AD patients is a topographically diffuse slow-wave activity characterizing both sleeping and waking electroencephalogram (EEG) [4,10] that makes difficult the distinction between sleeping and waking states in these patients. It seems peculiar that the K-complex (KC),...
EEG signal classification using wavelet feature extraction and a mixture of expert model Mixture of experts (ME) is modular neural network architecture for supervised learning. A double-loop Expectation-Maximization (EM) algorithm has been intr......
Joint time and time-frequency optimal detection of K-complexes in sleep EEG, Comput. Biomed. Res. 31, 209-229 (1998).C. Richard and R. Lengelle, "Joint time and time-frequency optimal detection of K-complexes in sleep EEG," Computers and Biomedical Research, vol. 31, no. 3, pp. ...
In the awake EEG, the differences observed in the profile of the mean global spectra of epileptic patients indicate considerable individual variability in dominant activity for the eyes-closed condition compared to the controls. The study of the spindling in epileptic patients confirms the dissociation...
Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models. Biomed Signal Proces 10, 117-127 (2014).T. A. Camilleri, K. P. Camilleri, and S. G. Fabri, "Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models," ...
Discriminatory analysis of the EEG in sleep stage 2 prior to and following evoked K-complexesMartin GolzDavid SommerBrigitte Kurella