Sökning: "Elektroencefalografi EEG"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Elektroencefalografi EEG.

  1. 1. Developing a portable, customizable, single-channel EEG device for homecare and validating it against a commercial EEG device

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

    Författare :Máté Károly Tóth; [2023]
    Nyckelord :Electroencephalography EEG ; Portable EEG; Single-channel EEG; Commercial EEG; Brain-machine interface; Prototype development; Elektroencefalografi EEG ; Bärbar EEG; Enkanaligt EEG; Kommersiellt EEG; Hjärna-maskin-gränssnitt; Prototyputveckling;

    Sammanfattning : There are several commercial electroencephalography (EEG) devices on the market; however, affordable devices are not versatile for diverse research applications. The purpose of this project was to investigate how to develop a low-cost, portable, single-channel EEG system for a research institute that could be used for neurofeedback-related applications in homecare. LÄS MER

  3. 2. Detektion av lateraliserad avvikande aktivitet i elektroencefalografi av minnesinkodning via auditivt stimulus

    Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Fremja Ekre; Josefine Frid; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The aim of this study was to evaluate two methods of detecting a difference in activity between the two hemispheres of the brain when presented with stimulus during memory encoding. The difference intended to be detected was based on the lateralization of brain processing of sensory input, which was triggered by an auditory stimulus in one ear at a time. LÄS MER

  4. 3. 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

  5. 4. Evaluation of non-stationary signal processing methods for binary EEG classification

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Amanda Ledell; [2022]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Electroencephalogram (EEG) measurements are notoriously noisy and non-stationary and there are several specialized techniques for their analysis and interpretation. In this thesis, we implement a collection of stationary and non-stationary methods including coherence, Phase Locking Value (PLV), Phase Lag Index (PLI), and their imaginary counterparts. LÄS MER

  7. 5. 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