Epilepsy patients experience challenges in daily life due to precautions they have to take in
order to cope with this condition. When a seizure occurs, it might cause injuries or endanger …

Epilepsy is a chronic chaos of the central nervous system that influences individual's daily
life by putting it at risk due to repeated seizures. Epilepsy affects more than 2% people …

We present a data driven approach to classify ictal (epileptic seizure) and non-ictal EEG
signals using the multivariate empirical mode decomposition (MEMD) algorithm. MEMD is a …

The manual review of an electroencephalogram (EEG) for seizure detection is a laborious
and error-prone process. Thus, automated seizure detection based on machine learning has …

Noise may reduce the demodulation accuracy of fiber Bragg grating (FBG) sensing signal so
as to affect the quality of sensing detection. Thus, the recovery of a signal from observed …

Epileptic spikes are complementary sources of information in EEG to diagnose and localize
the origin of epilepsy. However, not only is visual inspection of EEG labor intensive, time …

癫痫是一种由脑部神经元阵发性异常超同步电活动导致的慢性非传染性疾病,
也是全球最常见的神经系统疾病之一. 基于EEG 的癫痫自动检测是指通过机器学习, 分布检验 …

Epilepsy is a common neurological disorder that affects over 90 million people globally—30-
40% of whom do not respond to medication. Electroencephalogram (EEG) is the prime tool …

This paper presents patient-specific epileptic seizure detection approach based on Common
Spatial Pattern (CSP) and its variants; Diagonal Loading Common Spatial Pattern (DLCSP) …

Epilepsy is a neurological brain disorder. Seizures are the key characteristics of epilepsy.
Seizures occur in a community of neurons in certain parts of the cerebral cortex during which …