Ocular artifact elimination from electroencephalography signals: A systematic review
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
Identification of lower-limb motor tasks via brain–computer interfaces: a topical overview
Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …
computer interface (BCI) systems that improve the quality of life of people with motor …
A Machine Learning‐Based Big EEG Data Artifact Detection and Wavelet‐Based Removal: An Empirical Approach
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
EEG feature fusion for motor imagery: A new robust framework towards stroke patients rehabilitation
Stroke is the second foremost cause of death worldwide and is one of the most common
causes of disability. Several approaches have been proposed to manage stroke patient …
causes of disability. Several approaches have been proposed to manage stroke patient …
Accident prediction in construction using hybrid wavelet-machine learning
Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …
in most countries, even though safety management systems are continuously improving …
Music induced emotion using wavelet packet decomposition—An EEG study
G Balasubramanian, A Kanagasabai, J Mohan… - … Signal Processing and …, 2018 - Elsevier
Music has the potential to invoke strong emotions, both positive and negative, wherein
positive emotions can augment well-being. The objective of this study was to analyze the …
positive emotions can augment well-being. The objective of this study was to analyze the …
Detecting pork adulteration in beef for halal authentication using an optimized electronic nose system
Recently, the issue of food authentication has gained attention, especially halal
authentication, because of cases of pork adulteration in beef. Many studies have developed …
authentication, because of cases of pork adulteration in beef. Many studies have developed …
EEG signals denoising using optimal wavelet transform hybridized with efficient metaheuristic methods
Background. The most common and successful technique for signal denoising with
nonstationary signals, such as electroencephalogram (EEG) and electrocardiogram (ECG) …
nonstationary signals, such as electroencephalogram (EEG) and electrocardiogram (ECG) …
[HTML][HTML] HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings
Lower-density Electroencephalography (EEG) recordings (from 1 to approximately 32
electrodes) are widely-used in research and clinical practice and enable scalable brain …
electrodes) are widely-used in research and clinical practice and enable scalable brain …
LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection
XW Song, DD Yan, LL Zhao, LC Yang - Biomedical Signal Processing and …, 2022 - Elsevier
Depression is a mood disorder that causes negative effects on people's life and has become
a leading health burden worldwide. But the effective and low-cost detection for depression is …
a leading health burden worldwide. But the effective and low-cost detection for depression is …