Essays about: "EEG"

Showing result 1 - 5 of 126 essays containing the word EEG.

  1. 1. Training Autoencoders for feature extraction of EEG signals for motor imagery

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Casper Wahl; [2021]
    Keywords : ;

    Abstract : 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. READ MORE

  2. 2. Acceleration of Machine-Learning Pipeline Using Parallel Computing

    University essay from Uppsala universitet/Signaler och system

    Author : Xavante Erickson; [2021]
    Keywords : acceleration; ray; accelerator; numpy; machine-learning; machine; learning; optimization; parallelization; speedup; profiling;

    Abstract : Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. READ MORE

  3. 3. Statistics and machine learning for classification of emotional and semantic content of EEG

    University essay from Lunds universitet/Teknisk matematik (CI); Lunds universitet/Institutionen för reglerteknik

    Author : David Ohlin; Oskar Keding; [2021]
    Keywords : Technology and Engineering;

    Abstract : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. READ MORE

  4. 4. Decoding Steady-State VisualEvoked Potentials(SSVEPs)- Implementation and Performance Analysis

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Peipei Han; [2020]
    Keywords : ;

    Abstract : Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces(BCIs) have been widely investigated. Algorithms from the canonical correlation analysis(CCA) family perform extremely well in detecting stimulus targets by analyzing the relationship of frequency features between electroencephalogram (EEG) signals and stimulus targets. READ MORE

  5. 5. NSGA-II DESIGN FOR FEATURE SELECTION IN EEG CLASSIFICATION RELATED TO MOTOR IMAGERY

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Robin Johansson; [2020]
    Keywords : ;

    Abstract : Feature selection is an important step regarding Electroencephalogram (EEG) classification, for a Brain-Computer Interface (BCI) systems, related to Motor Imagery (MI), due to large amount of features, and few samples. This makes the classification process computationally expensive, and limits the BCI systems real-time applicability. READ MORE