Searched for: subject%3A%22Electroencephalography%255C+%255C%2528EEG%255C%2529%22
(1 - 11 of 11)
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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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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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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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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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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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Seeber, M. (author), Scherer, R. (author), Wagner, J. (author), Solis Escalante, T. (author), Müller-Putz, G.R. (author)
A corrigendum on EEG beta suppression and low gamma modulationare different elements of human upright walking by Seeber,M.,Scherer,R.,Wagner,J.,Solis-Escalante,T.,andMüller-Putz,G.R.(2014)Front.Hum. Neurosci.8:485.doi:10.3389/fnhum.2014.00485
journal article 2015
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Seeber, M. (author), Scherer, R. (author), Wagner, J. (author), Solis Escalante, T. (author), Müller-Putz, G.R. (author)
Cortical involvement during upright walking is not well-studied in humans. We analyzed non-invasive electroencephalographic (EEG) recordings from able-bodied volunteers who participated in a robot-assisted gait-training experiment. To enable functional neuroimaging during walking, we applied source modeling to high-density (120 channels) EEG...
journal article 2014
Searched for: subject%3A%22Electroencephalography%255C+%255C%2528EEG%255C%2529%22
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