Ocular artifact elimination from electroencephalography signals: A systematic review

R Ranjan, BC Sahana, AK Bhandari - Biocybernetics and Biomedical …, 2021 - Elsevier
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network

J Osei-Kwakye, F Han, AA Amponsah, Q Ling… - Connection …, 2022 - Taylor & Francis
Particle swarm optimisation algorithm (PSO) possesses a strong exploitation capability due
to its fast search speed. It, however, suffers from an early convergence leading to its inability …

Recognition of ocular artifacts in EEG signal through a hybrid optimized scheme

SK Sahoo, SK Mohapatra - BioMed Research International, 2022 - Wiley Online Library
Brain computer interface (BCI) requires an online and real‐time processing of EEG signals.
Hence, the accuracy of the recording system is improved by nullifying the developed …

A novel model based on a 1D-ResCNN and transfer learning for processing EEG attenuation

W Wang, B Li - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
EEG signals are valuable signals in clinical medicine, brain research, and the study of
neurological illnesses. However, EEG signal attenuation may occur at any time from signal …

Optimized deformable convolution network for detection and mitigation of ocular artifacts from EEG signal

DS Prasad, SR Chanamallu, KS Prasad - Multimedia Tools and …, 2022 - Springer
Electroencephalogram (EEG) is the key component in the field of analyzing brain activity
and behavior. EEG signals are affected by artifacts in the recorded electrical activity; thereby …

Automatic Removal of Scalp EEG Artifacts Using an Interpretable Hybrid Deep Learning Method

C Bao, Z Hao, W Dou - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
The application of scalp electroencephalogram (EEG) in brain-computer interface (BCI) is
inevitably hindered by the contamination of various physiological artifacts. Artifact …

Kurtosis Rejection-Based Person Identification from Photoplethysmography Signals Recorded During a Step Exercise

T Aydemir, M Şahin - Karadeniz Fen Bilimleri Dergisi, 2024 - dergipark.org.tr
In addition to computer vision-based methods, physiological signal-based person
identification (PI) applications have attracted great attention in recent years with various …

An adaptive Driver Fatigue Identification Method Based on HMM

M Zhang, C Liu, Z Wu, B Yao - 2021 5th CAA International …, 2021 - ieeexplore.ieee.org
Driver's characteristics have an essential influence on the performance improvement of
advanced driver assistance systems (ADAS), which is also a key issue that needs to be …

[PDF][PDF] Competitiveness and Sustainable Development Analysis of Alternative Energy Exploitation Using MOORA Method

C Raja, M Ramachandran, S Chinnasamy… - Journal on Materials …, 2024 - researchgate.net
Alternative energy exploitation, also known as renewable energy, refers to energy sources
that can be replenished and renewed naturally, such as solar, wind, hydro, geothermal, and …

An Analysis of Electro Encephalo Gram Recording Systems and Signal Processing Techniques

B Pavan, PE Rani - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Electroencephalography (EEG), a monitoring technique for recording the electrical activity of
the brain, is typically non-invasive and involves the implantation of electrodes along the …