Searched for: contributor%3A%22Schouten%2C+A.C.+%28mentor%29%22
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Schut, Inge (author)
Parkinson's Disease (PD) is a neurodegenerative disorder with four cardinal motor symptoms: bradykinesia, tremor, rigidity, and postural instability. Adaptive Deep Brain Stimulation (aDBS) is a promising treatment for PD that provides stimulation based on the expression of PD symptoms, improving effectiveness and reducing side effects compared...
master thesis 2024
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Luijten, Janne (author)
<b>Introduction</b><br/>Chronic pain is an increasing problem in terms of prevalence and disease-related costs. Due to its complexity, it is difficult to treat. Spinal cord stimulation (SCS) is a neurostimulation therapy with a relatively good success rate for patients with severe, intractable chronic pain. The mechanisms of action (MOAs) of SCS...
master thesis 2023
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Robles, Tahisa (author)
master thesis 2023
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Ren, Lambert (author)
To have a better understanding of difference in characteristics between various mother wavelets, this paper presents a comprehensive investigation into the performance of three commonly used non-orthogonal mother wavelets, namely Morlet, Paul and DOG, in a wavelet-based system identification approach when used for evaluating joint impedance....
master thesis 2023
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Muller, Marjolein (author)
Introduction: Over the past two decades deep brain stimulation (DBS) has emerged as an important therapeutic option for Parkinson’s disease (PD). However, the current DBS programming method, monopolar review (MPR), is time-consuming, requires highly trained personnel and causes discomfort for patients. This study aimed to predict the optimal...
master thesis 2023
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Kyriazis, Ioannis (author)
Patients with neuromuscular diseases that are unable to speak, but whose cognitive ability has been maintained, can be benefited from Brain Computer Interfaces (BCIs). The decoding of inner (covert) speech from EEGs consists of one of the state of the art methods that aim to tackle this issue. High variability between subjects, as well as low...
master thesis 2023
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Gu, Zhengping (author)
Feedback error learning (FEL) is a classical computational model that describes human motor learning. It consists of forward and inverse models representing internal dynamics and environmental disturbances. Such models can be used as controllers that represent the function of the motor cortex. On top of FEL, a model has been built with jointly...
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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Reinders, Laurien (author)
<b>Introduction</b>: Spinal Cord Stimulation (SCS) is a successful last-resort treatment for chronic pain patients, although its exact mechanisms of action (MOAs) still need to be unraveled. The MOAs of SCS partly rely on spinal mechanisms (gate control theory) and supraspinal mechanisms likely play a role as well. Pain processing involves a...
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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Radhamohan Menon, Akshay (author)
Chronic inflammatory demyelinating polyneuropathy (CIDP) is characterized by sensory and motor deficits. Tremor is a frequent and severe symptom in patients suffering from CIDP. There is limited and contradictory data regarding the effect of tremor on treatment of the underlying polyneuropathy, and on treatment specifically aimed at neuropathic...
master thesis 2022
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Dooren, Renée (author)
Transcranial Direct Current Stimulation (tDCS) is an upcoming therapeutic tool to improve post-stroke upper extremity motor function by modulating cortical excitability. However, research shows mixed findings on tDCS in stroke patients. The functional and structural brain reorganization may explain the mixed findings: (i) The individual motor...
master thesis 2021
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Stam, Mariëlle (author)
Deep brain stimulation (DBS) is used to treat a variety of movement disorders. In current DBS therapy, the stimulation parameters are manually adjusted based on a subjective assessment of patient’s symptoms. State-of-the-art DBS research focuses on recording brain activity to create a patient-specific neuronal profile that correlates with the...
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
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Vermeulen, Jeroen (author)
Purpose – The entropy algorithm is a recently developed statistic for quantifying the complexity of time series data. To date, research of biomechanics and motor control discussed whether entropy algorithms could be used as a convenient tool to identify healthy gait function, to evaluate outcomes of physical therapies and to monitor the...
master thesis 2021
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van Poppel, L.M. (author)
Objective: Prediction of comatose patients’ neu-rological outcome after cardiac arrest (CA) is essentialto prevent unnecessary continuation of treatment (withexpensive and scarce resources) and prevent emotionalburdens on families. Electroencephalography (EEG) canaid the prediction of outcome after CA. Visual EEGanalysis is subjective, time...
master thesis 2021
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Devetzoglou Toliou, STAVRINA (author)
The central nervous system (CNS) exhibits remarkable plasticity throughout life. The physiological changes in the CNS that occur due to plasticity allow us to perform new skills and old ones more effectively and efficiently over time.<br/><br/>Recently, it has been demonstrated that plasticity can be used to help people recover motor function...
master thesis 2020
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Pries, Rosanne (author)
Bimanual coordination is essential for the performance of daily activities, but the underlying motor control mechanisms are not yet fully understood. The goal of the present study is to identify the contribution of contralateral responses in the wrist joints to the performance of a bimanual task. Contralateral responses could possibly be used in...
master thesis 2020
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Brouwer, Fleur (author)
IntroductionThe Cellular Oxygen METabolism (COMET) monitor measures mitochondrial oxygentension (mitoPO2) in vivo at the bedside with delayed fluorescence ofmitochondrial protoporphyrin (PpIX). Blocking microcirculatory oxygen supply bypressing the measurement probe on the skin allows the measurement of mitochondrialoxygen...
master thesis 2020
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van Koppen, Jorik (author)
System identification techniques to analyse movement disorders are in development, but concrete clinical evidence to receive broad support from the clinical world is lacking. This master thesis proposes two ways to accelerate their development as part of the master’s programmes in Mechanical Engineering and Science Communication. The Mechanical...
master thesis 2020
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