Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/5255
Title: Neural synergy in compact biomedical IoT devices: spintronic pathways for MEG-EEG integration and portability
Authors: Elshafei, Mohamed
Keywords: Magnetoencephalography;Electroencephalography;Magnetic tunnel junctions;BiLSTM model;Neuroimaging devices;Artificial intelligence (MEG/EEG mapping)
Issue Date: 2023
Abstract: The human brain, a marvel of nature, consists of intricate neural networks that have fascinated and perplexed the scientific community for generations. As scientists and researchers globally endeavour to unravel the mysteries of bioelectrical activities that form the basis of our cognitive functions and experiences, our research emerges at the nexus of biology and cutting-edge technology. Specifically, we spotlight the remarkable capabilities of magnetoencephalography (MEG) and electroencephalography (EEG). These potent neuroimaging tools, celebrated for their unparalleled spatial and temporal precision, are synergistically combined in our study. We aim to map MEG innovatively signals onto their EEG replicas, employing avant-garde spintronic devices, with a particular emphasis on Magnetic Tunnel Junctions (MTJ). [...]
URI: https://knowledgecommons.lakeheadu.ca/handle/2453/5255
metadata.etd.degree.discipline: Computer Science
metadata.etd.degree.name: Master of Science
metadata.etd.degree.level: Master
metadata.dc.contributor.advisor: Fadlullah, Zubair
Fouda, Mostafa
Appears in Collections:Electronic Theses and Dissertations from 2009

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