Sökning: "electroencephalography"

Visar resultat 1 - 5 av 75 uppsatser innehållade ordet electroencephalography.

  1. 1. The Neural Effects Of Mindfulness Interventions On Depression : A Systematic Review

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Sofia Eriksson; [2023]
    Nyckelord :mindfulness-interventions; depression; functional magnetic resonance imaging; electroencephalography;

    Sammanfattning : Depression has increased among adolescents and adults over the last decade. Effective treatments and techniques to improve personal well being and disorders like depression are much needed. LÄS MER

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

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

    Författare :Máté Károly Tóth; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  4. 3. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Shuai Shao; [2023]
    Nyckelord :EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Sammanfattning : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. LÄS MER

  5. 4. Investigating the Neural Activity Behind Rhythm-Keeping : An Exploratory Mass Univariate Study

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Moses Griffith; [2023]
    Nyckelord :rhythm; tempo; electroencephalography; mass univariate analysis; cognitive neuroscience;

    Sammanfattning : Many of the skills that are considered noteworthy in our societies are either acquired through training and dedication or granted to those lucky enough to have the right genetics and environment. But one skill that is often overlooked is the ability to keep rhythm. This skill is both remarkable in temporal accuracy and common. LÄS MER

  7. 5. Deep convolution neural network for attention decoding in multi-channel EEG with conditional variational autoencoder for data augmentation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :M Asjid Tanveer; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Objectives: This project aims to develop a deep learning-based attention decoding system that can distinguish between noise and speech in noise and also identify the direction of attended speech from the brain data recorded with electroencephalography (EEG) instruments. Two deep convolutional neural network (DCNN) models will be designed: (1) one DCNN model capable of classifying incoming segments of sound as speech or speech in background noise, and (2) one DCNN model identifying the direction (left vs. LÄS MER