Sökning: "EEG"

Visar resultat 21 - 25 av 285 uppsatser innehållade ordet EEG.

  1. 21. Noise Robustness of CNN and SNN for EEG Motor imagery classification

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

    Författare :Merlin Sewina; [2023]
    Nyckelord :Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Sammanfattning : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. LÄS MER

  3. 22. Neurotactile Integration

    Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Kalle Svensson; Julius Cewers; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The field of neural representation of sensory integration is an advanced topic with complex processes. The mechanisms of the brain are far from fully understood and are in need of further development to be implemented in clinical usages such as neuroprosthetics. LÄS MER

  4. 23. Thumbs Down, Thumbs Down, Thumbs Down : Does the Feedback-Related Negativity (FRN) Habituate?

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Aurelia Daniels; [2023]
    Nyckelord :FRN; ERP; EEG; habituation; sensitization;

    Sammanfattning : The feedback-related negativity (FRN) is a negative event-related potential (ERP) component associated with the presentation of task feedback. The possibility that the FRN may habituate has been briefly mentioned in previous research (Garrido Chaves et al., 2020), but not yet been actively investigated. LÄS MER

  5. 24. EEG-Based Speech Decoding Using a Machine Learning Pipeline

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Julia Önerud; [2023]
    Nyckelord :EEG; EEG-Decoding; Speech-like; Neuro; Neurotech; Machine-learning; SVM; Feature Extraction; Feature Selection; Mentalab; Inner Speech; OVR; Baseline-Correction; State-of-the-art; State-of-the-art Accuracy; Directions; Emotions;

    Sammanfattning : his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. LÄS MER

  7. 25. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Osama Mahmudi; Shubhra Mishra; [2023]
    Nyckelord :Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

    Sammanfattning : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. LÄS MER