Search Results for author:
Found 6 papers, 0 papers with code
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks
This paper proposes a novel approach that uses deep neural networks for classifying imagined speech, significantly increasing the classification accuracy.
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
The recent advances in the field of deep learning have not been fully utilised for decoding imagined speech primarily because of the unavailability of sufficient training samples to train a deep network.
Two Tier Prediction of Stroke Using Artificial Neural Networks and Support Vector Machines
Cerebrovascular accident (CVA) or stroke is the rapid loss of brain function due to disturbance in the blood supply to the brain.
An Improved EEG Acquisition Protocol Facilitates Localized Neural Activation
This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.
Multi-level SVM Based CAD Tool for Classifying Structural MRIs
The revolutionary developments in the field of supervised machine learning have paved way to the development of CAD tools for assisting doctors in diagnosis.
