Sökning: "Julia Önerud"

Hittade 2 uppsatser innehållade orden Julia Önerud.

  1. 1. EEG-Based Speech Decoding Using a Machine Learning Pipeline

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Julia Önerud; [2023]
    Nyckelord :EEG; EEG-Decoding; Speech-like; Neuro; Neurotech; Machine-learning; SVM; Feature Extraction; Feature Selection; Mentalab; Inner Speech; OVR; Baseline-Correction; State-of-the-art; State-of-the-art Accuracy; Directions; Emotions;

    Sammanfattning : his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. LÄS MER

  3. 2. Simulating Fetal ECG Using Machine Learning on Ultrasound Images

    Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mathilda Villot Berling; Julia Önerud; [2020]
    Nyckelord :ECG; Ultrasound; Fetal-ECG; Heart; Machine learning; Simulated; EKG; Ultraljud; Foster-EKG; Hjärta; Maskininlärning; Simulerat;

    Sammanfattning : ECG is used clinically to detect a multitude of medical conditions, such as heart-problems like arrhythmias and heart failure, and to give a good general image of the function of the heart with a quick and harmless exam. In many clinical cases, normal ECG measurements cannot be taken, such as with fetuses where ECG signals from the mother’s own body hinder the measurement. LÄS MER