Sökning: "Magnetoencefalografi"

Hittade 2 uppsatser innehållade ordet Magnetoencefalografi.

  1. 1. Feature extraction from MEG data using self-supervised learning : Investigating contrastive representation learning methods to f ind informative representations

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Wilhelm Ågren; [2022]
    Nyckelord :Machine learning; Deep learning; Self-supervised learning; Cluster analysis; SimCLR; Magnetoencephalography; Partial sleep deprivation; Wavelet transform; Maskininlärning; Djupinlärning; Självövervakad inlärning; Klusteranalys; SimCLR; Magnetoencefalografi; Delvis sömndeprivering; Wavelet transform;

    Sammanfattning : Modern day society is vastly complex, with information and data constantly being posted, shared, and collected everywhere. There is often an abundance of massive amounts of unlabeled data that can not be leveraged in a supervised machine learning context. LÄS MER

  3. 2. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emma Lind; [2022]
    Nyckelord :Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

    Sammanfattning : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. LÄS MER