Brain computer interface (BCI) applications are emerging from the laboratory to the field
environment with ever-increasing demands for high accuracy. However, enhancements in …

Mobile devices, along with wearable sensors, allow patients to access healthcare services
from anywhere at any time. The longstanding constraints of computational capability and …

Emerging virtual reality/augmented reality games and self-driving cars necessitate
accurate/responsive/private emotion recognition. Usually, traditional emotion recognition …

Epilepsy is a long lasting neurological disease that affects 70 million globally. It is not a
newly discovered disease traced back to 4000 BC. The disease is not spread by direct …

High-density, high-sampling rate EEG measurements generate large amounts of
measurement data. When coupled with sophisticated processing methods, this presents a …

Advances in wearable biomedical sensors, smartphones, wireless communications, and
cloud computing technologies offer promising techniques for the implementation of cloud …

Epilepsy is a disorder that affects the life of the patient. In this neurological disorder, patients
may suffer from different types of seizures. From epileptic patients, we may acquire …

Biomedical sensors and cloud-based smart applications are the main components of
contemporary automated healthcare systems. A multichannel EEG signals collection …

Brain-Computer Interface (BCI) systems use some permanent features of brain signals to
recognize their corresponding cognitive states with high accuracy. However, these features …

Big number of people all over the world is affected by epilepsy. Electroencephalography
(EEG) is a crucial component in the evaluation of epilepsy. Onset seizure detection is …