no code implementations • 9 Jun 2023 • Sidharth Sidharth, Ashish Abraham Samuel, Ranjana H, Jerrin Thomas Panachakel, Sana Parveen K
The base model used in this study was Resnet50.
no code implementations • 19 Mar 2020 • Jerrin Thomas Panachakel, A. G. Ramakrishnan
This paper proposes a novel approach that uses deep neural networks for classifying imagined speech, significantly increasing the classification accuracy.
no code implementations • 19 Mar 2020 • Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha
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.
no code implementations • 17 Mar 2020 • Jerrin Thomas Panachakel, Jeena R. S
Cerebrovascular accident (CVA) or stroke is the rapid loss of brain function due to disturbance in the blood supply to the brain.
no code implementations • 13 Mar 2020 • Jerrin Thomas Panachakel, Nandagopal Netrakanti Vinayak, Maanvi Nunna, A. G. Ramakrishnan, Kanishka Sharma
This work proposes improvements in the electroencephalogram (EEG) recording protocols for motor imagery through the introduction of actual motor movement and/or somatosensory cues.
no code implementations • 26 Jun 2017 • Jerrin Thomas Panachakel, Jeena R. S.
The revolutionary developments in the field of supervised machine learning have paved way to the development of CAD tools for assisting doctors in diagnosis.