Electroencephalogram (EEG) artifacts such as eyeblink, eye movement, and muscle
movements widely contaminate the EEG signals. Those unwanted artifacts corrupt the …

Brain interictal epileptiform discharges (IEDs), as one of the hallmarks of epileptic brain, are
transient events captured by electroencephalogram (EEG). IEDs are generated by seizure …

Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …

Intelligent poststroke rehabilitation has attracted great attention worldwide, since the high
incidence rate of stroke with the aging of the population. It is well known that effective …

Technologies like passive brain-computer interfaces (BCI) can enhance human-machine
interaction. Anyhow, there are still shortcomings in terms of easiness of use, reliability, and …

EEG is a common and safe test that uses small electrodes to record electrical signals from
the brain. It has a broad range of applications in medical diagnosis, including diagnosis of …

It is essential to estimate the sleep quality and diagnose the clinical stages in time and at
home, because they are closely related to and important causes of chronic diseases and …

It is well known that electroencephalograms (EEGs) often contain artifacts due to muscle
activity, eye blinks, and various other causes. Detecting such artifacts is an essential first …

The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most
studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to …

Estimating and monitoring the sleep states at home using ubiquitous infrared (IR) visual
camera sensors is an essential healthcare problem. Currently, the common challenge of …