Essays about: "Electroencephalogram EEG"

Showing result 1 - 5 of 20 essays containing the words Electroencephalogram EEG.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuan Wo; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

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

    Abstract : 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. READ MORE

  4. 3. Neurotactile Integration

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Kalle Svensson; Julius Cewers; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Matematisk statistik

    Author : Amanda Ledell; [2022]
    Keywords : Mathematics and Statistics;

    Abstract : 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. READ MORE

  6. 5. Brain Signal Analysis For Inner Speech Detection

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

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

    Abstract : 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. READ MORE