Non-invasive methods for brain monitoring in patients with neural disorders

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Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu | Bachelor's thesis
Electronic archive copy is available locally at the Harald Herlin Learning Centre. The staff of Aalto University has access to the electronic bachelor's theses by logging into Aaltodoc with their personal Aalto user ID. Read more about the availability of the bachelor's theses.
Date
2022-09-09
Department
Major/Subject
Bioinformaatioteknologia
Mcode
ELEC3016
Degree programme
Sähkötekniikan kandidaattiohjelma
Language
en
Pages
32
Series
Description
Supervisor
Turunen, Markus
Thesis advisor
Vujaklija, Ivan
Keywords
Alzheimer's, non-invasive, imaging, brain, disorder, scan
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