Sökning: "electroencephalography EEG"

Visar resultat 16 - 20 av 67 uppsatser innehållade orden electroencephalography EEG.

  1. 16. Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Maja Jonsson; Jennifer Brown; [2021]
    Nyckelord :Sleepiness detection; EEG; KSS; deep learning; driving; classification;

    Sammanfattning : Driver sleepiness contributes to a large amount of all road traffic crashes. Developing an objective measurement of driver sleepiness in order to prevent eventual traffic accidents is desirable. LÄS MER

  3. 17. Training Autoencoders for feature extraction of EEG signals for motor imagery

    Kandidat-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Casper Wahl; [2021]
    Nyckelord :;

    Sammanfattning : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. LÄS MER

  4. 18. Classification of EEG Data Using Convolutional Neural Networks and the Scaled Reassigned Spectrogram

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Karin Pagels; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Electroencephalography (EEG) is a medical technique for measuring brain activity through several channels connected to the scalp. Interpreting EEG data is a difficult problem because of the large amount of noise contained in the data. LÄS MER

  5. 19. Integration of Bluetooth Sensors in a Windows-Based Research Platform

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Rohan Samandari; [2021]
    Nyckelord :Bluetooth sensors; EEG device; Electroencephalography device; EEG connection; Bitbrain; Python;

    Sammanfattning : This thesis describes how to build a solution for transmitting data from an           Electroencephalography (EEG) device to a server in real-time while guiding the user through a number of predefined exercises. This solution will be used by Spinal Cord Injury (SCI) patients suffering from neuropathic pain, in order to understand if it is possible to predict such pain from EEG. LÄS MER

  7. 20. No relationship between frontal alpha asymmetry and motivational and personality traits

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Martin Nilsson; [2021]
    Nyckelord :Frontal EEG asymmetry; motivation; personality; open-source;

    Sammanfattning : The relationship between resting-state electroencephalography (EEG) frontal alpha asymmetry (FAA) and individual differences has been investigated for decades, during which time a plethora of methods have been used to quantify and analyse FAA. Recently, the relationship between resting-state FAA and motivation, personality, and psychopathology has been questioned. LÄS MER