A comparative analysis of signal processing and classification methods for different applications based on EEG signals
A Khosla, P Khandnor, T Chand - Biocybernetics and Biomedical …, 2020 - Elsevier
Electroencephalogram (EEG) measures the neuronal activities in the form of electric
currents that are generated due to the synchronized activity by a group of specialized …
currents that are generated due to the synchronized activity by a group of specialized …
The future of sleep health: a data-driven revolution in sleep science and medicine
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …
Automatic sleep stage classification using temporal convolutional neural network and new data augmentation technique from raw single-channel EEG
Background and objective: This paper presents a new framework for automatic classification
of sleep stages using a deep learning algorithm from single-channel EEG signals. Each …
of sleep stages using a deep learning algorithm from single-channel EEG signals. Each …
Design of hydrogel-based wearable EEG electrodes for medical applications
The electroencephalogram (EEG) is considered to be a promising method for studying brain
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
disorders. Because of its non-invasive nature, subjects take a lower risk compared to some …
Intrusion detection in cloud computing based on time series anomalies utilizing machine learning
The growth of cloud computing is hindered by concerns about privacy and security. Despite
the widespread use of network intrusion detection systems (NIDS), the issue of false …
the widespread use of network intrusion detection systems (NIDS), the issue of false …
XG-PseU: an eXtreme Gradient Boosting based method for identifying pseudouridine sites
As one of the most popular post-transcriptional modifications, pseudouridine (Ψ) participates
in a series of biological processes. Therefore, the efficient detection of pseudouridine sites is …
in a series of biological processes. Therefore, the efficient detection of pseudouridine sites is …
Motor imagery based brain-computer interface: improving the EEG classification using Delta rhythm and LightGBM algorithm
This article contains a new method to improving the EEG motor imagery classification
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
system quality with an application on BCI competition IV 2a, 2b, and PhysioNet EEG-MI …
Continuous scoring of depression from EEG signals via a hybrid of convolutional neural networks
S Hashempour, R Boostani… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Depression score is traditionally determined by taking the Beck depression inventory (BDI)
test, which is a qualitative questionnaire. Quantitative scoring of depression has also been …
test, which is a qualitative questionnaire. Quantitative scoring of depression has also been …
Automated classification of multi-class sleep stages classification using polysomnography signals: a nine-layer 1D-convolution neural network approach
SK Satapathy, D Loganathan - Multimedia Tools and Applications, 2023 - Springer
Sleep disorder diseases have one of the major health issues across the world. To handle
this issue the primary step taken by most of the sleep experts is the sleep staging …
this issue the primary step taken by most of the sleep experts is the sleep staging …
Prognosis of automated sleep staging based on two-layer ensemble learning stacking model using single-channel EEG signal
SK Satapathy, D Loganathan - Soft Computing, 2021 - Springer
Sleep is important part for human health and quality of life in the daily routine basis.
However, numerous individuals face sleep problems due to rapid changes occurred in both …
However, numerous individuals face sleep problems due to rapid changes occurred in both …