Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning

Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier

(2021) Wessam Al-Salman et al.   NEUROSCIENCE RESEARCH

Automatic Detection of K-Complexes Using the Cohen Class Recursiveness and Reallocation Method and Deep Neural Networks with EEG Signals

(2021) Catalin Dumitrescu et al.   SENSORS

Multitaper-based method for automatic k-complex detection in human sleep EEG

(2020) Gustavo H.B.S. Oliveira et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Machine-learning-based diagnostics of EEG pathology

(2020) Lukas A.W. Gemein et al.   NEUROIMAGE

DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal

(2019) S. Chambon et al.   JOURNAL OF NEUROSCIENCE METHODS

Detection of EEG K-Complexes Using Fractal Dimension of Time Frequency Images Technique Coupled With Undirected Graph Features

(2019) Wessam Al-Salman et al.   Frontiers in Neuroinformatics

K-complexes Detection in EEG Signals using Fractal and Frequency Features Coupled with an Ensemble Classification Model

(2019) Wessam AL-Salman et al.   NEUROSCIENCE

A Fuzzy Neural Network Approach for Automatic K-Complex Detection in Sleep EEG Signal

(2018) Rakesh Ranjan et al.   PATTERN RECOGNITION LETTERS

A novel system for automatic detection of K-complexes in sleep EEG

(2017) Cüneyt Yücelbaş et al.   NEURAL COMPUTING & APPLICATIONS

The Fall of Sleep K-Complex in Alzheimer Disease

(2017) Luigi De Gennaro et al.   Scientific Reports

Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS)

(2016) Tarek Lajnef   Frontiers in Neuroinformatics

Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis

(2015) Tarek Lajnef et al.   Frontiers in Human Neuroscience

A wavelet and teager energy operator based method for automatic detection of K-Complex in sleep EEG

(2011) Aykut Erdamar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic detection of transient EEG events during sleep can be improved using a multi-channel approach

(2008) F. Saccomandi et al.   CLINICAL NEUROPHYSIOLOGY