Sökning: "electroencephalogram"

Visar resultat 1 - 5 av 28 uppsatser innehållade ordet electroencephalogram.

  1. 1. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

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

    Författare :Yuan Wo; [2023]
    Nyckelord :Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    Sammanfattning : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. LÄS MER

  3. 2. Estimating Brain Maturation in Very Preterm Neonates : An Explainable Machine Learning Approach

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

    Författare :Patrik Svensson; [2023]
    Nyckelord :Preterm Neonates; Brain Maturation; aEEG; Explainable Machine Learning; Feature Importance;

    Sammanfattning : Introduction: Assessing brain maturation in preterm neonates is essential for the health of the neonates. Machine learning methods have been introduced as a prospective assessment tool for neonatal electroencephalogram(EEG) signals. LÄS MER

  4. 3. 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

  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. Brain Signal Analysis For Inner Speech Detection

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Fellipe Torquato Rollin; Valeria Buenrostro-Leiter; [2022]
    Nyckelord :EEG; machine learning; deep learning; inner speech; pronounced speech; electroencephalogram; electroencephalography;

    Sammanfattning : Inner speech, or self-talk, is a process by which we talk to ourselves to think through problems or plan actions. Although inner speech is ubiquitous, its neural basis remains largely unknown. LÄS MER