Searched for: subject%3A%22Seizures%22
(1 - 15 of 15)
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Peh, Wei Yan (author), Thangavel, Prasanth (author), Yao, Yuanyuan (author), Thomas, John (author), Tan, Yee Leng (author), Dauwels, J.H.G. (author)
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last hours or days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essential. However, developing a patient-independent...
journal article 2023
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de Rooij, S.J.S. (author), Batselier, K. (author), Hunyadi, Borbala (author)
Recent advancements in wearable EEG devices have highlighted the importance of accurate seizure detection algorithms, yet the ever-increasing size of the generated datasets poses a significant challenge to existing seizure detection methods based on kernel machines. Typically, this problem is mitigated by significantly undersampling the...
conference paper 2023
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Millán, Ana P. (author), van Straaten, Elisabeth C. W. (author), Stam, Cornelis J. (author), Nissen, Ida A. (author), Idema, Sander (author), Baayen, Johannes C. (author), Van Mieghem, P.F.A. (author), Hillebrand, Arjan (author)
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but only leads to seizure freedom for roughly two in three patients. To address this problem, we designed a patient-specific epilepsy surgery model combining large-scale magnetoencephalography (MEG) brain networks with an epidemic spreading model. This simple...
journal article 2023
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Leibbrandt, Louise (author), Zhang, S. (author), Roelvink, M.A.T. (author), Bergkamp, Stan (author), Li, Xinqi (author), Bisschop, Lieselot (author), Wingerde, Karin van (author), Wang, H. (author)
This paper aims to understand to what extent the amount of drug (e.g., cocaine) trafficking per country can be explained and predicted using the global shipping network. We propose three distinct network approaches, based on topological centrality metrics, Susceptible-Infected-Susceptible spreading process and a flow optimization model of...
conference paper 2023
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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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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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Li, Z. (author), Rajan, R.T. (author)
Multiagent systems have been widely researched and deployed in the industry for their potential to collectively achieve goals by distributing tasks to individual agents [1]–[4]. Formation control, one of the many applications of multiagent systems, aims at steering agents into a stable geometric pattern in space [3], [4]. There has been a...
conference paper 2022
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de Rooij, S.J.S. (author), Hunyadi, Borbala (author)
Epilepsy is one of the most common neurological conditions, affecting nearly 1% of the global population. It is defined by the seemingly random occurrence of spontaneous seizures. Anti-epileptic drugs provide adequate treatment for about 70% of patients. The remaining 30%, on the other hand, continue to have seizures, which has a significant...
conference paper 2022
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Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)
Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...
conference paper 2022
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Vandecasteele, Kaat (author), De Cooman, Thomas (author), Chatzichristos, Christos (author), Cleeren, Evy (author), Swinnen, Lauren (author), Ortiz, Jaiver Macea (author), Van Huffel, Sabine (author), Dümpelmann, Matthias (author), Schulze- Bonhage, Andreas (author), De Vos, Maarten (author), Van Paesschen, Wim (author), Hunyadi, Borbala (author)
Objective: Wearable seizure detection devices could provide more reliable seizure documentation outside the hospital compared to seizure self-reporting by patients, which is the current standard. Previously, during the SeizeIT1 project, we studied seizure detection based on behind-the-ear electroencephalography (EEG). However, the obtained...
journal article 2021
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Joosse, Corniël (author)
Absence seizures have a real-life impact on epileptic subjects, as day-to-day tasks can by suddenly interrupted making for dangerous situations. Though a lot of work has been done on seizure detection, to limit the impact on epileptic patients, the true necessity lies in timely prediction of seizures before they manifest. Various attempts have...
master thesis 2020
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Henstra, Joris (author), Jansen, Pim (author)
Many people worldwide suffer from epileptic seizures and not all of them can be prevented using medicines, this thesis is being done for seizure prevention. This is based on implementing a medical body area network (MBAN) that takes sensory recordings across the whole body. This is needed as the research group that proposes this project found...
bachelor thesis 2020
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De Cooman, Thomas (author), Vandecasteele, Kaat (author), Varon, Carolina (author), Hunyadi, Borbala (author), Cleeren, Evy (author), Van Paesschen, Wim (author), Van Huffel, Sabine (author)
Objective: Automated seizure detection is a key aspect of wearable seizure warning systems. As a result, the quality of life of refractory epilepsy patients could be improved. Most state-of-the-art algorithms for heart rate-based seizure detection use a so-called patient-independent approach, which do not take into account patient-specific...
journal article 2020
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Vandecasteele, Kaat (author), De Cooman, Thomas (author), Dan, Jonathan (author), Cleeren, Evy (author), Van Huffel, Sabine (author), Hunyadi, Borbala (author), Van Paesschen, Wim (author)
Objective: Seizure diaries kept by patients are unreliable. Automated electroencephalography (EEG)-based seizure detection systems are a useful support tool to objectively detect and register seizures during long-term video-EEG recording. However, this standard full scalp-EEG recording setup is of limited use outside the hospital, and a...
journal article 2020
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Aldana, Yissel Rodríguez (author), Marañón Reyes, Enrique J. (author), Macias, Frank Sanabria (author), Rodríguez, Valia Rodríguez (author), Chacón, Lilia Morales (author), Van Huffel, Sabine (author), Hunyadi, Borbala (author)
Nonconvulsive epileptic seizures (NCSz) and nonconvulsive status epilepticus (NCSE) are two neurological entities associated with increment in morbidity and mortality in critically ill patients. In a previous work, we introduced a method which accurately detected NCSz in EEG data (referred here as ‘Batch method’). However, this approach was...
journal article 2019
Searched for: subject%3A%22Seizures%22
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