Browsing by Subject "Electroencephalography."
Now showing items 1-4 of 4
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Deep learning approaches to EEG and fMRI data: a comparative study for sleep stage classification
(Brac University, 2024-05)In this thesis, for classification of sleep stages, we use deep learning techniques with the help of data from fMRI and EEG. The ConvLSTM models are applied for the fMRI data. The data for the EEG is worked on with the ... -
Detection of mental stress using EEG signal and classifier based on reward and punishment processing
(Brac University, 2021-01)Mental stress is the main well being problem worldwide today. Mental stress is by far the most common, responsible for most of all mental-brain diseases. The high incidence, high impairment and heavy risk of illness make ... -
Development of a Brain-Computer Interface (BCI) for person with disabilities to control their wheelchair using brain waves along with health monitoring system
(Brac University, 2022-12)Humanity’s endeavor to learn the way the human brain works has been exponentially fastened through the means of Brain Computer Interface (BCI) technology. It has helped in mapping different electrical activities in the ... -
DWT based transformed domain feature extraction approach for epileptic seizure detection
(Brac University, 2021-09)Epileptic seizure is a neurological disorder that is prevalent in both males and females of all age ranges. Detection of epileptic seizure serves as an important role for epileptic patients as it allows the initiation ...