Electroencephalography (EEG) is a complicated, non-stationary signal that requires
extensive preprocessing and feature extraction approaches to be accurately analyzed. In …

The interpatient variability still poses a great challenge for the real-world application of
electroencephalogram (EEG)-based seizure prediction, where most previous methods could …

Epileptic patients' quality of life can be significantly improved by epileptic seizure prediction
based on scalp electroencephalogram (EEG). With the advancement of brain e-health …

Patients with epilepsy are affected with unexpected seizure events, which significantly
diminish their quality of life. It is crucial to evaluate whether an epileptic patient's brain state …

The identification of epileptic seizure events is acknowledged as one of the most arduous
pattern recognition tasks in chronic brain disorders, and has captured considerable interest …

The identification of epileptic seizure events is acknowledged as one of the most arduous
pattern recognition tasks in chronic brain disorders, and has captured considerable interest …

癫痫作为一种大脑神经元异常放电导致的中枢神经系统疾病, 给患者的**常生活带来了极大影响
, 提前预测癫痫发作并及时采取防范措施可以有效提高患者的生活质量. 随着数据科学和大数据 …

Epilepsy is one of the most prevalent neurological conditions, affecting approximately 1% of
the global population. While Antiepileptic Drugs (AEDs) have demonstrated effectiveness in …

Sensivelmente um terço dos doentes epiléticos são incapazes de atingir o controlo das
crises através da administração de medicamentos antiepiléticos. Em situações em que as …

Editorial for the special issue "Visual evoked brain computer interface studies" Editorial for
the special issue "Visual evoked brain computer interface studies" J Neurosci Methods …