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Epilepsia
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Recent Submissions
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(Wiley, 2023-06-22)Objectives: Although hemispheric surgeries are among the most effective procedures for drug-resistant epilepsy (DRE) in the pediatric population, there is a large variability in seizure outcomes at the group level. A ...
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(Editorial Department of the Journals of Nanjing Medical University, 2019-08-28)The two-point central difference is a common algorithm in biological signal processing and is particularly useful in analyzing physiological signals. In this paper, we develop a model-based classification method to detect ...
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(IEEE, 2020-06-19)This paper deals with the detection of mu-suppression from electroencephalographic (EEG) signals in brain-computer interface (BCI). For this purpose, an efficient algorithm is proposed based on a statistical model and a ...
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(International Frequency Sensor Association, 2021)Resumen no disponible
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(MDPI, 2020-10-29)Spike-and-wave discharge (SWD) pattern detection in electroencephalography (EEG) is a crucial signal processing problem in epilepsy applications. It is particularly important for overcoming time-consuming, difficult, and ...
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(Universidad de la Costa, 2020-12-07)A 47-year-old man with a history of aphasic seizures presented to the emergency room with a 12-hour global aphasia. Upon admission, brain MRI did not reveal acute lesions, and EEG showed sharp waves in the left frontal-temporal ...
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(Wiley, 2021-03-13)Objective To develop and validate a model to predict seizure freedom in children undergoing cerebral hemispheric surgery for the treatment of drug‐resistant epilepsy. Methods We analyzed 1267 hemispheric surgeries ...
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(Academic Press, 2020-07)Seizure threshold 2 (SZT2) gene mutations have been associated with developmental and epileptic encephalopathies (DEEs). Following a literature review, we collected 22 patients and identified the main clinical features ...
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(IEEE, 2019-02-21)Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, a ...
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(AAN, 2019-05-08)Objective: To describe the encephalitis that have more frequently acute symptomatic seizures (ASS), type of seizures and development of postencephalitic epilepsy (PE). Background: Encephalitis is a frequent cause of ...
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("Iuliu Haţieganu" Publishing House, 2019-03-30)Epilepsy is an important public health issue. An appropriate epileptiform discharge pattern detection of this neurological disease is a typical problem in biomedical engineering. In this paper, a new method is proposed for ...
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(Academic Press, 2019-12-24)Resumen no disponible
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(Sociedad Argentina de Bioingeniería, 2019)Seizure detection plays a central role in most aspects of epilepsy care. Understanding the complex epileptic signals system is a typical problem in electroencephalographic (EEG) signal processing. This problem requires different ...
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(Springer, 2019-07-11)This paper proposes a new algorithm for epileptic seizure onset detection in EEG signals. The algorithm relies on the measure of the entropy of observed data sequences. Precisely, the data is decomposed into different brain ...
Atribución 4.0 Internacional (CC BY 4.0)