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Ortega, Eduardo Villar (author), Buetler, Karin A. (author), Aksöz, Efe Anil (author), Marchal Crespo, L. (author)A large proportion of stroke survivors suffer from sensory loss, negatively impacting their independence, quality of life, and neurorehabilitation prognosis. Despite the high prevalence of somatosensory impairments, our understanding of somatosensory interventions such as sensory electrical stimulation (SES) in neurorehabilitation is limited....journal article 2024
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van den Hoek, Thomas C. (author), van de Ruit, M.L. (author), Terwindt, Gisela M. (author), Tolner, Else A. (author)Migraine is a highly prevalent brain condition with paroxysmal changes in brain excitability believed to contribute to the initiation of an attack. The attacks and their unpredictability have a major impact on the lives of patients. Clinical management is hampered by a lack of reliable predictors for upcoming attacks, which may help in...journal article 2024
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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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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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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies among the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are created...journal article 2023
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Pandey, Pankaj (author), Rodriguez-Larios, Julio (author), Miyapuram, Krishna Prasad (author), Lomas, J.D. (author)Electroencephalography (EEG) enables online monitoring brain activity, which can be used for neurofeedback. One of the growing applications of EEG neurofeedback is to facilitate meditation practice. Specifically, EEG neurofeedback can be used to alert participants whenever they get distracted during meditation practice based on changes in their...conference paper 2023
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Dekker, Bo (author), Schouten, A.C. (author), Scharenborg, O.E. (author)Silent speech interfaces could enable people who lost the ability to use their voice or gestures to communicate with the external world, e.g., through decoding the person’s brain signals when imagining speech. Only a few and small databases exist that allow for the development and training of brain computer interfaces (BCIs) that can decode...conference paper 2023
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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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Chatterjee, Sarthak (author), Gonçalves Melo Pequito, S.D. (author)Discrete-time fractional-order dynamical systems (DT-FODS) have found innumerable applications in the context of modeling spatiotemporal behaviors associated with long-term memory. Applications include neurophysiological signals such as electroencephalogram (EEG) and electrocorticogram (ECoG). Although learning the spatiotemporal parameters of...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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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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van der Cruijsen, J. (author), Piastra, Maria Carla (author), Selles, R.W. (author), Oostendorp, Thom F. (author)The inconsistent response to transcranial electric stimulation in the stroke population is attributed to, among other factors, unknown effects of stroke lesion conductivity on stimulation strength at the targeted brain areas. Volume conduction models are promising tools to determine optimal stimulation settings. However, stroke lesion...journal article 2021
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van Baardewijk, Jan Ubbo (author), Agarwal, Sarthak (author), Cornelissen, Alex S. (author), Joosen, Marloes J. A. (author), Kentrop, Jiska (author), Varon, Carolina (author), Brouwer, Anne-Marie (author)Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take...journal article 2021
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van Kordelaar, J. (author), van de Ruit, M.L. (author), Solis Escalante, T. (author), Aerden, Leo A.M. (author), Meskers, Carel G.M. (author), van Wegen, Erwin E.H. (author), Schouten, A.C. (author), Kwakkel, Gert (author), van der Helm, F.C.T. (author)Background: Proprioception is important for regaining motor function in the paretic upper extremity after stroke. However, clinical assessments of proprioception are subjective and require verbal responses from the patient to applied proprioceptive stimuli. Cortical responses evoked by robotic wrist perturbations and measured by...journal article 2021
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van den Berg, Boudewijn (author), Manoochehri, M. (author), Kasting, Mindy (author), Schouten, A.C. (author), van der Helm, F.C.T. (author), Buitenweg, Jan R. (author)A sustained sensory stimulus with a periodic variation of intensity creates an electrophysiological brain response at associated frequencies, referred to as the steady-state evoked potential (SSEP). The SSEPs elicited by the periodic stimulation of nociceptors in the skin may represent activity of a brain network that is primarily involved in...journal article 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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Vlaar, M.P. (author), Birpoutsoukis, Georgios (author), Lataire, John (author), Schouten, A.C. (author), Schoukens, Johan (author), van der Helm, F.C.T. (author)Joint manipulation elicits a response from the sensors in the periphery which, via the spinal cord, arrives in the cortex. The average evoked cortical response recorded using electroencephalography was shown to be highly nonlinear; a linear model can only explain 10% of the variance of the evoked response, and over 80% of the response is...journal article 2018
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Xu, J. (author), Mitra, Srinjoy (author), Van Hoof, Chris (author), Yazicioglu, Refet Firat (author), Makinwa, K.A.A. (author)Active electrodes (AEs), i.e., electrodes with built-in readout circuitry, are increasingly being implemented in wearable healthcare and lifestyle applications due to AEs' robustness to environmental interference. An AE locally amplifies and buffers μV-level EEG signals before driving any cabling. The low output impedance of an AE mitigates...journal article 2017
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Rusak, Z. (author), van de Water, Niels (author), Horvath, I. (author), de Smit, A. (author), van der Vegte, Wilhelm Frederik (author)Brain signal and eye tracking technology have been intensively applied in cognitive science in order to study reading, listening and learning processes. Though promising results have been found in laboratory experiments, there are no smart reading aids that are capable to estimate difficulty during normal reading. This paper presents a new...conference paper 2016
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