An efficient feature extraction method for two classes of electroencephalography (EEG) is
demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However …

As an effective roller bearing fault diagnosis method, Adaptive Periodic Mode
Decomposition (APMD) method has excellent capability of repeated transient extraction. In …

Granger-causality-based brain network analysis has been widely applied in EEG-based
neuroscience researches and clinical diagnoses, such as motor imagery emotion analysis …

Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …

The timely and accurate detection of epileptic seizures is highly needed to enhance the
quality of a patient's life. The state-of-the-art works to design and utilize many deep learning …

There is an increasing demand of creative individuals in scientific research, innovation
sectors of software industries and industrial research/development sectors. On the other …

In Electroencephalogram (EEG) research, physiological artifacts like muscle activity, heart
rhythm, and eye movements or blinks continue to be a prominent issue. It is essential to deal …

Electroencephalography (EEG) artifacts are very common in clinical diagnosis and can
heavily impact diagnosis. Manual screening of artifact events is labor-intensive with little …

Magnetoencephalography (MEG) is an important development in the field of noninvasive
brain imaging. Nevertheless, MEG recordings are prone to contamination from background …

脑机接口(Brain-Computer Interface, BCI) 是在大脑和计算机之间建立起的一种新型人机交互
方式, 可应用于军事, 医疗, 娱乐等方面. 因脑电图(Electroencephalogram, EEG) …