Browsing by Subject "Electroencephalography"
Now showing items 1-7 of 7
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Applying tDCS over the dominant Hemisphere to observe event-related Desynchronization
(Brac University, 2019-12)Although keeping us alive is arguably the most important function of the human brain, the human brain is responsible for a host of functions|including processing of environmental stimuli. Electroencephalography (EEG) is ... -
A deep learning approach to depression detection based on Convolutional Neural Networks and Transfer Learning
(Brac University, 2021-10)Depression and mental health issues (stress, nervousness, panic attacks, anxiety attacks etc.) are nowadays a major issue in the whole world. It is a common cause of mental illness that has been linked to an increased ... -
Detection and prediction of epileptic seizure using different machine learning classifiers
(Brac University, 2022-05-29)Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ... -
Detection of mind wandering using EEG signals
(Brac University, 2020-01)Mind Wandering (MW) is the recurrent occurrence in which our mind gets disengaged from the immediate task and focused on internal trains of thought. In terms of intelligent interfaces MW can both have good as well as ... -
Electroencephalogram based Emotion Recognition with Graph Convolutional Network Model
(Brac University, 2022-09)Recently, researchers have focused on understanding human sentiment using mechanical devices or reactions to any machinery activity. Computerization is becoming more prevalent in today’s environment. People are unaware of ... -
Electroencephalography based brain controlled grasp and lift
(Brac University, 2021-09)The complexities and challenges of performing daily fundamental activities like getting dressed, answering a phone call, opening and closing the door, writing something down, or even consuming foods for patients who have ... -
Machine learning-based approach on predicting online shopping addiction using EEG signals
(Brac University, 2022-05-24)According to experts, shopping addiction is often a coping mechanism for those who are experiencing mental pain. As a result, to research online shopping addiction, researchers must look at changes in brain activity during ...
