Review of semi-dry electrodes for EEG recording
GL Li, JT Wu, YH Xia, QG He… - Journal of Neural …, 2020 - iopscience.iop.org
Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …
A comparative review on sleep stage classification methods in patients and healthy individuals
Background and objective: Proper scoring of sleep stages can give clinical information on
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep …
Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network
P Jadhav, G Rajguru, D Datta… - Biocybernetics and …, 2020 - Elsevier
For automatic sleep stage classification, the existing methods mostly rely on hand-crafted
features selected from polysomnographic records. In this paper, the goal is to develop a …
features selected from polysomnographic records. In this paper, the goal is to develop a …
A review of automated sleep stage scoring based on physiological signals for the new millennia
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal
Over the past decade, converging evidence from diverse studies has demonstrated that
sleep is closely associated with the mental and physical health, quality of life, and safety …
sleep is closely associated with the mental and physical health, quality of life, and safety …
A two-stage neural network for sleep stage classification based on feature learning, sequence learning, and data augmentation
Sleep stage classification is a fundamental but cumbersome task in sleep analysis. To score
the sleep stage automatically, this study presents a stage classification method based on a …
the sleep stage automatically, this study presents a stage classification method based on a …
Complex networks approach for EEG signal sleep stages classification
Sleep stage scoring is a challenging task. Most of existing sleep stage classification
approaches rely on analysing electroencephalography (EEG) signals in time or frequency …
approaches rely on analysing electroencephalography (EEG) signals in time or frequency …
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm
Background Sleep plays an essential role in repairing and healing human mental and
physical health. Developing an efficient method for scoring electroencephalogram (EEG) …
physical health. Developing an efficient method for scoring electroencephalogram (EEG) …
EEG sleep stages identification based on weighted undirected complex networks
Abstract Background and Objective Sleep scoring is important in sleep research because
any errors in the scoring of the patient's sleep electroencephalography (EEG) recordings …
any errors in the scoring of the patient's sleep electroencephalography (EEG) recordings …
Automatic neonatal sleep stage classification: A comparative study
Sleep is an essential feature of living beings. For neonates, it is vital for their mental and
physical development. Sleep stage cycling is an important parameter to assess neonatal …
physical development. Sleep stage cycling is an important parameter to assess neonatal …