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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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Chaudhary, Shivam (author), Prasad Miyapuram, Krishna (author), Lomas, J.D. (author)Entrainment is a phenomenon of phase or temporal matching of one system with that of another system. Human neural activity has been shown to resonate with external auditory stimuli. When we enjoy a piece of music, there is a resonance of brain responses with auditory signals. The crux of music cognition is based on this resonance of musical...conference paper 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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Shenoy, Rohan (author)This Master's thesis project is conceived in two parts. <br/><br/>The first part is the research project and is titled <<The Art of Acquiring Flow>> where the study assesses an architect’s ability to experience ‘design flow’, during the ideation phase, based on the type of design tool utilized. In order to test the hypothesis, I...master thesis 2022
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Dekker, Bo (author)To enable communication for patients who have lost the ability to speak due to severe neuromuscular diseases, covert speech based brain-computer interfaces (BCIs) might be used. These system use neural signals arising from covert speech and translate them into text or synthesised speech. Covert speech is imagining to speak without moving any of...master thesis 2022
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Weustink, Cyril (author)Currently, EEG recordings are mostly made using scalp recording devices. These devices are typically difficult to put on and bulky, limiting their use to a lab environment. In-ear EEG recording is proposed as a more practical alternative to scalp EEG recording. <br/><br/>In-ear EEG replaces the scalp electrode array with more discrete earpieces,...master thesis 2022
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Aanhane, Sam (author), Molenkamp, Simon (author), Vrijdag, Joos (author)This bachelor end project thesis is describing ways to use dry-electrode electroencephalography (EEG) measurements for authentication. There are five proposed methods based on the literature study, which in this report are called: ’frequency tagging’, ’pseudowords’, ’familiar music’, ’mental tasks’, and ’emotions’. First, all methods were tested...bachelor 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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Reed, Emily A. (author), Bogdan, Paul (author), Gonçalves Melo Pequito, S.D. (author)Assessing the stability of biological system models has aided in uncovering a plethora of new insights in genetics, neuroscience, and medicine. In this paper, we focus on analyzing the stability of neurological signals, including electroencephalogram (EEG) signals. Interestingly, spatiotemporal discrete-time linear fractional-order systems ...journal article 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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Miyapuram, Krishna Prasad (author), Ahmad, Nashra (author), Pandey, Pankaj (author), Lomas, J.D. (author)The article provides an open-source Music Listening- Genre (MUSIN-G) EEG dataset which contains 20 participants’ continuous Electroencephalography responses to 12 songs of different genres (from Indian folk music to Goth Rock to western electronic), along with their familiarity and enjoyment ratings. The participants include 16 males and 4...journal article 2022
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van der Cruijsen, J. (author), Dooren, R.F. (author), Schouten, A.C. (author), Oostendorp, Thom F. (author), Frens, Maarten A. (author), Ribbers, G.M. (author), van der Helm, F.C.T. (author), Kwakkel, Gert (author), Selles, R.W. (author)Transcranial direct current stimulation (tDCS) is a promising tool to improve and speed up motor rehabilitation after stroke, but inconsistent clinical effects refrain tDCS from clinical implementation. Therefore, this study aimed to assess the need for individualized tDCS configurations in stroke, considering interindividual variability in...journal article 2022
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Chaudhary, Shivam (author), Pandey, Pankaj (author), Miyapuram, Krishna Prasad (author), Lomas, J.D. (author)In the modern world, it is easy to get lost in thought, partly because of the vast knowledge available at our fingertips via smartphones that divide our cognitive resources and partly because of our intrinsic thoughts. In this work, we aim to find the differences in the neural signatures of mind-wandering and meditation that are common across...conference paper 2022
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Penalver-Andres, Joaquin A. (author), Buetler, Karin A. (author), Koenig, Thomas (author), Müri, René M. (author), Marchal Crespo, L. (author)Developing motor and cognitive skills is needed to achieve expert (motor) performance or functional recovery from a neurological condition, e.g., after stroke. While extensive practice plays an essential role in the acquisition of good motor performance, it is still unknown whether certain person-specific traits may predetermine the rate of...journal article 2022
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Thangavel, Prasanth (author), Thomas, John (author), Sinha, Nishant (author), Peh, Wei Yan (author), Yuvaraj, Rajamanickam (author), Cash, Sydney S. (author), Chaudhari, Rima (author), Karia, Sagar (author), Dauwels, J.H.G. (author)Objective. Clinical diagnosis of epilepsy relies partially on identifying interictal epileptiform discharges (IEDs) in scalp electroencephalograms (EEGs). This process is expert-biased, tedious, and can delay the diagnosis procedure. Beyond automatically detecting IEDs, there are far fewer studies on automated methods to differentiate epileptic...journal article 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