Sökning: "electroencephalography EEG"

Visar resultat 11 - 15 av 67 uppsatser innehållade orden electroencephalography EEG.

1. 11. FEW-SHOT CLASSIFICATION OF EEG WITH QUASI-INDUCTIVE TRANSFER LEARNING

   Kandidat-uppsats, Lunds universitet/Matematisk statistik

   Författare :Mathias Duedahl; [2022]
   Nyckelord :Few-Shot Learning; Transfer Learning; EEG Classification; Deep Convolutional Neural Network; DNN; CNN; EEG; FSL; TL; Mathematics and Statistics;

   Sammanfattning : Brain-computer interfaces (BCIs) are devices that enable people with disabilities to use their thoughts to control external devices and restore or improve their bodily functions. One important aspect of BCIs is the classification of electroencephalography (EEG) signals, which measure brain activity and can be difficult to interpret. LÄS MER

3. 12. 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

4. 13. Using machine learning to analyse EEG brain signals for inner speech detection

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Lisa Jonsson; [2022]
   Nyckelord :Machine learning; Convolutional neural network; Inner speech; Brain computer interface; Electroencephalography;

   Sammanfattning : Research on brain-computer interfaces (BCIs) has been around for decades and recently the inner speech paradigm was picked up in the area. The realization of a functioning BCI could improve the life quality of many people, especially persons affected by Locked-In-Syndrome or similar illnesses. LÄS MER

5. 14. A Deep Learning Approach to Brain Tracking of Sound

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Oscar Hermansson; [2022]
   Nyckelord :Cocktail party problem; AAD; GANs; CNN; FIR; Stimulus reconstruction; Locus of attention decoding; EEG;

   Sammanfattning : Objectives: Development of accurate auditory attention decoding (AAD) algorithms, capable of identifying the attended sound source from the speech evoked electroencephalography (EEG) responses, could lead to new solutions for hearing impaired listeners: neuro-steered hearing aids. Many of the existing AAD algorithms are either inaccurate or very slow. LÄS MER

7. 15. In your dreams! : The neural correlates of lucid dreaming

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Markus Gustafsson; [2022]
   Nyckelord :EEG; fMRI; lucid dreaming; self-awareness; volition;

   Sammanfattning : While dreaming, one lacks the understanding that what is experienced is self-generated hallucinatory contents of consciousness. However, during dreaming there is a rare state called lucid dreaming. The minimal requirement for a dream to be considered lucid is that one is self-aware that one is currently sleeping. LÄS MER