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van Dijk, Mees (author)Algorithms which can effectively detect epileptic seizures have the potential to improve current treatment methods for people who suffer from epilepsy. The current state-of-the-art methods use neural networks, which are able to learn directly from the electroencephalogram (EEG) data without feature extraction. However, neural networks have...master thesis 2024
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Oerlemans, Carlijn (author)Study objectives: Conventional sleep scoring is based on the scoring criteria of the American Association of Sleep Medicine (AASM) but may not be suited to describe sleep in critically ill children admitted to the Pediatric Intensive Care Unit (PICU). In this study, an anomaly detection model using Gaussian Models trained on sleep stages in data...master thesis 2024
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van Rooijen, Thom (author)Various source localization algorithms exist to perform localization with High Density (HD)-ElectroEncephaloGraphy (EEG). However, validation of these EEG source localization algorithms is lacking. The current gold standard for source localization in the brain is functional Magnetic Resonance Imaging (fMRI) by calculating the difference in...master thesis 2023
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Plat, Benthe (author)This report delves into the challenging process of translating complex tests from the Child Brain Lab into a design that is both accessible and engaging for children. The Child Brain Lab, part of the Erasmus MC Sophia Children’s Hospital, conducts research on brain development to gain a better understanding of the course of brain disorders and...master thesis 2023
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Predictive Analysis of Anti-NMDA-Receptor Encephalitis: using a Random Forest Classifier on EEG DataLückerath, Femke (author)During the initial phase of diagnosis, patients with anti-NDMA-receptor encephalitis (anti-NMDARE) often experience severe symptoms that significantly impact their quality of life. Anti-NDMARE is an autoimmune disorder affecting the brain, with electroencephalography (EEG) playing a vital role in diagnosis and treatment. Identifying EEG patterns...master thesis 2023
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Dai, Anthony (author), van de Weg, Joris (author)In the context of designing a real-time brain-computer interface for playing a game using the OpenBCI Ultracortex "Mark IV" headset, this paper focuses on the work of the decoding subgroup. The primary responsibility is to analyse EEG data retrieved from the OpenBCI headset and classify the intention of the user. Our objective is to achieve a...bachelor thesis 2023
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Lee, Wesmond (author), Los, Thibault (author)Purpose<br/>The main purpose of this report is to find out whether the OpenBCI "Ultracortex Mark IV" Electroencephalogram (EEG) headset is capable of differentiating EEG-signals of motor execution from neutral state with recorded data and to find out whether it can differ motor executions between left and right hand. Next to that, it is to be...bachelor thesis 2023
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Apawti, Chelsea (author), van Zijl, Marlon (author)This document presents the development of a user interface for an EEG motor imagery based Brain-Computer Interface (BCI) as the interface subgroup. The aim of this subgroup in the project was to design and implement a graphical user interface (GUI) incorporating visual neurofeedback to enhance the accuracy of the decode algorithm, developed by...bachelor thesis 2023
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- Scheffers, Marjolein (author) master thesis 2023
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Lange, Sanne (author)Epilepsy has been reported in 10-40% of children in the paediatric intensive care unit (PICU). Amplitude-integrated electroencephalography (aEEG), often used as neuromonitoring in the PICU, has some limitations and as a result, caretakers in the PICU may find it challenging to interpret aEEG. This may lead to uncertainty during diagnosis and...master thesis 2023
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van Vliet, Sjoerd (author)Different paradigms can be used to evoke brainwaves. These brainwaves can be interpreted as commands that can be used to control different applications. These frameworks that interpret the brainwaves are called brain-computer interfaces. Steady-state visually evoked potentials is one of these paradigms that uses external stimuli flickering at...master thesis 2023
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van Engen, Femke (author)Meditation is a contemplative practice that is believed to entail attentional and emotional regulation. One of the biggest challenges in developing personalized, accessible healthcare options with meditation is finding understandable features that signify whether someone is meditating. Specifically, there is no consensus on a feature resulting...master thesis 2022
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Bot, Chris (author), de Groot, Arthur (author), de Spirlet, Aurore (author)60 million people around the world have epilepsy, which is a neurological disorder that severely impacts their day to day life negatively. Currently available methods to reduce the effects of epilepsy are either ineffective or require expensive and invasive surgery. A new method has been found that can suppress epilepsy without the need of...bachelor thesis 2022
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Bogaert, Bonne (author), Otter, Mirthe (author), Mijjer, Luuk (author)This report details the design and development of an agar/NaCl gel-like tissue phantom mimicking the electrical properties of wet human skin. The skin phantom provides a reliable, reproducible testing ground for dry-contact polydimethylsiloxane (CNT/PDMS) electrodes, with the aim of recording electroencephalograms (EEGs) and stimulating brain...bachelor thesis 2022
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Giri, Natasha (author)People can learn voluntary regulation of certain brain rhythms with help of real-time feedback through a brain-computer interface. Modulation of brain rhythms associated with movement, also known as sensorimotor rhythms (SMR), has shown to alter excitability of the spinal cord. This may indicate a potential role of the SMR in reflex modulation....master thesis 2022
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Sabu, Priya (author)Food-evoked emotions are essential for consumers’ food choice prediction and market success. These food-evoked emotions are predominantly measured by explicit self-reports. Yet in certain situations such as social desirability, explicit measures might not reflect one’s true emotional experience. The additional use of implicit measures can be...master thesis 2022
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SHI, XIAONING (author)With the development of machine learning techniques, more and more classification models have been designed for seizure detection. The creation of these models has dramatically improved the convenience of epilepsy detection and made seizure labeling automation possible. However, many of the current researches in this field use EEG datasets with...master thesis 2022
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Prins, Gertrand (author)Problem: A biomarker that accurately predicts recovery of ischemic stroke for patients with poor baseline Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) is lacking. Biomarkers that predict recovery while providing functional insight into the underlying neural process are highly desired for optimal clinical care. Objectives: This...master thesis 2021
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van Rijn, Joey (author)Outstanding seizure detection algorithms using electroencephalogram (EEG) recordings have been developed over the past decade. These works mainly focus on best of class performance, which leads to computationally heavy solutions. This limits the applicability of these detection algorithms for hardware implementations such as fieldprogrammable...master thesis 2021
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Martens, Savine (author)The automotive industry is foreseeing a future where driver and car will form a synergy, by allowing the car to predict the driver’s intent. Nissan has already successfully predicted the intent to make lane changes in a driving simulator with just six electroencephalography (EEG) electrodes on the movement related cortical potential using...master thesis 2021