VME-DWT: An efficient algorithm for detection and elimination of eye blink from short segments of single EEG channel
Objective: Recent advances in development of low-cost single-channel
electroencephalography (EEG) headbands have opened new possibilities for applications …
electroencephalography (EEG) headbands have opened new possibilities for applications …
A segmentation-denoising network for artifact removal from single-channel EEG
As an important neurorecording technique, electroencephalography (EEG) is often
contaminated by various artifacts, which obstructs subsequent analysis. In recent years …
contaminated by various artifacts, which obstructs subsequent analysis. In recent years …
Wavelet based waveform distortion measures for assessment of denoised EEG quality with reference to noise-free EEG signal
An objective distortion measure is very crucial to accurately quantify the distortion introduced
in the electroencephalogram (EEG) signal during the denoising process. Most of the existing …
in the electroencephalogram (EEG) signal during the denoising process. Most of the existing …
Automated CCA-MWF algorithm for unsupervised identification and removal of EOG artifacts from EEG
M Miao, W Hu, B Xu, J Zhang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Affective brain computer interface (ABCI) enables machines to perceive, understand,
express and respond to people's emotions. Therefore, it is expected to play an important role …
express and respond to people's emotions. Therefore, it is expected to play an important role …
Ocular artifacts elimination from multivariate EEG signal using frequency-spatial filtering
A Bhattacharyya, A Verma, R Ranta… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The electroencephalogram (EEG) signals record electrical activities generated by the brain
cells and are used as a state-of-the-art diagnosis tool for various neural disorders. However …
cells and are used as a state-of-the-art diagnosis tool for various neural disorders. However …
A multimodal fusion depression recognition assisted decision-making system based on EEG and speech signals
Depression, as a widely prevalent mental disorder, significantly impacts the psychological
well-being of a substantial portion of the global population. However, existing diagnostic …
well-being of a substantial portion of the global population. However, existing diagnostic …
Edge of medical things implementation for deep learning-based cognitive task recognition
The emergence of edge devices for the Internet of Medical Things (IoMT) has enabled the
integration of low-power resource-limited hardware units with communication technologies …
integration of low-power resource-limited hardware units with communication technologies …
Eyeblink detection algorithm based on joint optimization of VME and morphological feature extraction
Eyeblink detection is critical in areas such as electroencephalography (EEG) artifact removal
and health monitoring. In this article, we propose a single-channel automatic eyeblink …
and health monitoring. In this article, we propose a single-channel automatic eyeblink …
Swarm intelligence-based improved Adaptive chirp mode decomposition algorithm for suppression of ocular artifacts from EEG signal
Electroencephalogram (EEG) signals are mostly contaminated with ocular artifacts (OAs)
due to eye movements and eye blinks. These artifacts make the EEG recordings difficult to …
due to eye movements and eye blinks. These artifacts make the EEG recordings difficult to …
Pembersihan Artefak EOG dari Sinyal EEG menggunakan Denoising Autoencoder
HF PERDHANA, H ZAKARIA - ELKOMIKA: Jurnal Teknik Energi …, 2022 - ejurnal.itenas.ac.id
Elektroensefalografi (EEG) adalah teknik perekaman yang merekam aktivitas elektrik pada
otak menggunakan elektroda yang ditempelkan pada kulit kepala. Artefak elektrookulografi …
otak menggunakan elektroda yang ditempelkan pada kulit kepala. Artefak elektrookulografi …