Essays about: "EEG SIGNAL"

Showing result 1 - 5 of 39 essays containing the words EEG SIGNAL.

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

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

    Author : Máté Károly Tóth; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 2. 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

  4. 3. 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

  5. 4. 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

  6. 5. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Osama Mahmudi; Shubhra Mishra; [2023]
    Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

    Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE