Decoding four-finger proprioceptive and tactile stimuli from magnetoencephalography

Decoding four-finger proprioceptive and tactile stimuli from magnetoencephalography

This study aimed to investigate the feasibility of decoding proprioceptive and tactile stimuli applied to the fingers using magnetoencephalography (MEG) signals and support vector machines (SVMs). With the advancement of neuroprosthetic brain-computer interfaces (BCIs) there is a growing need to enh...

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Bibliographic Details
Main Author: Nyländen, Paavo
Other Authors: Liikuntatieteellinen tiedekunta, Faculty of Sport and Health Sciences, Liikunta- ja terveystieteet, Sport and Health Sciences, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2024
Subjects:
proprioception
tactile stimuli
support vector machine
Biomekaniikka
Biomechanics
5012
MEG
aivot
koneoppiminen
signaalianalyysi
brain
machine learning
signal analysis
Online Access: https://jyx.jyu.fi/handle/123456789/96128

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