Classification of low-functioning and high-functioning autism using task-based EEG signals

B Divya, N Udayakumar, R Yuvaraj… - … Signal Processing and …, 2023 - Elsevier
Autism is a neurodevelopmental disorder marked by a lack of interpersonal, social, and
communication skills, and repetitive and limited behavioral patterns. Autism exhibits a …

Assessment of a 16-Channel Ambulatory Dry Electrode EEG for Remote Monitoring

TR Shivaraja, R Remli, N Kamal, WA Wan Zaidi… - Sensors, 2023 - mdpi.com
Ambulatory EEGs began emerging in the healthcare industry over the years, setting a new
norm for long-term monitoring services. The present devices in the market are neither meant …

Remote Epilepsy Monitoring: Signal Quality and Reliability Comparative Analysis

TR Shivaraja, R Remli, WAW Zaidi… - IEEE Access, 2025 - ieeexplore.ieee.org
Epilepsy, a neurological condition affecting approximately 50 million individuals globally, is
among the most common nervous system disorders. Electroencephalography (EEG) is vital …

Method for edges detection in digital images through the use of cellular automata

K Angulo, D Gil, H Espitia - International Conference on Computer …, 2019 - Springer
In the present article, an algorithm based on cellular automata for noise elimination and
edge detection in grayscale images is proposed. However, the focus of this project will be on …

Novel Approach for classification of stress EEG data using statistical techniques

MJ Patil, A Shaikh… - … System Modeling & …, 2016 - ieeexplore.ieee.org
Many people undergo from the stress in their everyday life. Due to there close relationship
between the stress, mental health and psychological aspect. Stress management using EEG …

[PDF][PDF] A Review on Student's Behavioral Analysis in Virtual Learning Environment

PS Jaiswal, M Dhopeshwarkar - academia.edu
The development of the technology, virtual learning environments are seeing wider
application in college education. The research goal of this paper is mainly to explore the …