Essays about: "Elektroencefalografi"

Showing result 1 - 5 of 14 essays containing the word Elektroencefalografi.

  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. Noise Robustness of CNN and SNN for EEG Motor imagery classification

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

    Author : Merlin Sewina; [2023]
    Keywords : Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Abstract : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. READ MORE

  4. 3. 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

  5. 4. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

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

    Author : Emma Lind; [2022]
    Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

    Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE

  6. 5. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis

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

    Author : Jing Li; [2021]
    Keywords : Fourier Transform; Wavelet Transform; EEG and ECG Anomaly Detection; Approximate Entropy; Hellinger Distance; Long Short- Term Memory; Fourier Transform; Wavelet Transform; EEG och ECG Anomalidetektion; Approximativ Entropi; Hellinger Distans; Lång Korttidsminne;

    Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE