Searched for: contributor%3A%22van+de+Ruit%2C+M.L.+%28mentor%29%22
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Themans, Tamir (author)
Background context: Intraoperative neuromonitoring (IONM) has proven effective in reducing postoperative neurological complications. However, current understanding of IONM is limited and its precise meaning in relation to neurological outcomes remains unclear. Machine learning (ML) is a promising solution to analyze the excessive amount of IONM...
master thesis 2024
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de Moel, Lisanne (author)
Introduction:<br/>Chronic Pain (CP) presents a complex and prevalent issue that significantly affects individuals and society. Exploring the complexities of CP involves analyzing Functional Connectivity (FC), a process that identifies how different brain regions communicate across distances. Magnetoencephalography (MEG) is particularly effective...
master thesis 2024
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Bakels, Sanna (author)
The human brain, with its intricate web of billions of neurons and trillions of synaptic connections, is a remarkable organ responsible for performing complex cognitive processes. While brain imaging techniques like fMRI and EEG provide insights into neural activity, there is no broadly accepted mathematical framework for the collaborative...
master thesis 2023
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Bol, Marije (author)
Background: A brain-computer interface (BCI) is a system that enables humans to control a computer by their brain signals. This can be achieved by modulating the sensorimotor rhythm (SMR) through both motor execution and motor imagery. The potential enhancement of spinal reflexes and motor control through SMR training is attributed to the...
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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Verboom, Marit (author)
Critically ill patients in the Intensive Care Unit (ICU) are often comatose and thoroughly monitored. Neurological complications occur in up to 20% of these patients. Therefore, monitoring of the brain, which can be performed using electroencephalography (EEG), has the potential to significantly impact the outcomes of patients at the ICU....
master thesis 2023
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Scheffers, Marjolein (author)
master thesis 2023
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Lemmers, Danny (author)
Reflex mechanisms are an efficient method humans use to deal with mechanical disturbances in daily life. In the muscle we see two reflexes, the M1 reflex and the M2 reflex. The M2 reflex is cortically modulated and is affected by intention<br/>and habituation. A lot of research has been conducted on understanding the M2 reflexes, their origin...
master thesis 2022
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Mulder, Babette (author)
Background: Determining how the reflex voluntarily modulates while performing activities of daily living (ADL), and understanding how this modulation might differ between healthy subjects and patients with motor disorders, can aid in developing a rehabilitative program to improve the functional performance of thewrist. The current study designs...
master thesis 2021
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Ploemen, Milou (author)
The flash visual evoked potential (FVEP) is an electrical potential recorded with electroencephalogram (EEG) at the occipital cortex. Current FVEP assessment may be elaborated with the acquisition of stimulus response (SR) relation of the visual system. A drawback of this adjustment is the time required for data acquisition. This study aimed to...
master thesis 2021
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Nijmeijer, Kirsten (author)
The ability to control and adapt joint stiffness is essential in human motor control. Both control loops on the spinal as well as cortical level are likely to play a role in this regulation. However, the cortical mechanisms involved with the online adaptive control of joint stiffness remain largely unresolved. This study aimed at identifying...
master thesis 2020
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Casasnovas Orus, Virginia (author)
Synchronization between muscles caused by shared neural input has been proposed to have a functional significance in muscle coordination. In this study, intermuscular coherence (IMC), a measure of shared neural input to muscles, was used to explore the neural underpinnings of proximal arm muscle coordination in force- and myoelectric-control...
master thesis 2018
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