Sökning: "electroencephalography EEG"
Visar resultat 1 - 5 av 67 uppsatser innehållade orden electroencephalography EEG.
1. The Neural Effects Of Mindfulness Interventions On Depression : A Systematic Review
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : 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
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)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
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 Vi3Sammanfattning : 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
4. Investigating the Neural Activity Behind Rhythm-Keeping : An Exploratory Mass Univariate Study
Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : 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
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 reglerteknikSammanfattning : 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