Advanced bioelectrical signal processing methods: Past, present and future approach—Part II: Brain signals

R Martinek, M Ladrova, M Sidikova, R Jaros… - Sensors, 2021 - mdpi.com
As it was mentioned in the previous part of this work (Part I)—the advanced signal
processing methods are one of the quickest and the most dynamically developing scientific …

[HTML][HTML] HAPPILEE: HAPPE In Low Electrode Electroencephalography, a standardized pre-processing software for lower density recordings

KL Lopez, AD Monachino, S Morales, SC Leach… - NeuroImage, 2022 - Elsevier
Lower-density Electroencephalography (EEG) recordings (from 1 to approximately 32
electrodes) are widely-used in research and clinical practice and enable scalable brain …

CNN architecture for diabetes classification

P Nagabushanam, NC Jayan, CA Joel… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Machine Learning (ML) algorithms deal with only linear data and here comes the necessity
of deep learning (DL) algorithms to deal with non-linear input datas. Also, memory …

Denoising Semi-simulated EEG Signal Contaminated Ocular Noise using Various Wavelet Filters

SNSS Daud, R Sudirman… - … on Information and …, 2022 - ieeexplore.ieee.org
Denoising is crucial in electroencephalography (EEG) processing to remove undesired
components contaminated in a signal. Wavelet filters are a powerful and robust denoising …

Effect of artifact removal on EEG based motor imagery BCI applications

M Anjum, N Sakib, MK Islam - Fourth International Conference …, 2024 - spiedigitallibrary.org
Brain computer interface (BCI) is an emerging technology where the user can establish
direct communication between the electrical device and himself without any physical …

[PDF][PDF] Effect of psychoacoustic annoyance on EEG signals of tractor drivers

M Lashgari, MR Arab, M Nadjafi, R Mojtaba - Archives of Acoustics, 2022 - journals.pan.pl
The purpose of this study was to evaluate the psychoacoustic annoyance (PA) that the
tractor drivers are exposed to, and investigate its effects on their brain signals during their …

HAPPILEE: the Harvard automated processing pipeline in low electrode electroencephalography, a standardized software for low density EEG and ERP data

KL Lopez, AD Monachino, S Morales, SC Leach… - bioRxiv, 2021 - biorxiv.org
Low-density Electroencephalography (EEG) recordings (eg fewer than 32 electrodes) are
widely-used in research and clinical practice and enable scalable brain function …

[引用][C] Effect of artifact removal on EEG based motor imagery BCI applications

MK Islam, N Sakib, M Anjum - 2024 - SPIE Digital Library