Intelligent digital twins closely resemble their real-life counterparts. In health and medical
care, they enable the real-time monitoring of patients, whereby large amounts of data can be …

Objective The automatic detection of migraine states using electrophysiological recordings
may play a key role in migraine diagnosis and early treatment. Migraineurs are …

Migraine is a disabling neurological disorder that can be recurrent and persist for long
durations. The continuous monitoring of the brain activities can enable the patient to …

Abstract Recently, Digital Twin (DT) technology has received much attention because of its
capabilities to manage systems and organisms that suffering complexity and unpredictability …

Tension-Type Headache (TTH) and migraine are common disorders all over the world.
Some patients with a diagnosis of TTH have clinical symptoms, which are usually seen in …

Brain-Computer Interface (BCI) system authorizes to controlling and communicates
individual peoples with neuromuscular destruction; utilized the brain signals whenever …

Local binary pattern based feature extraction and machine learning for epileptic seizure
prediction and detection - Book chapter - IOPscience This site uses cookies. By continuing to …

Closed-loop approaches in systems neuroscience and therapeutic stimulation have the
potential to revolutionize our understanding of the brain and develop novel neuromodulation …

In this paper a new migraine analysis method is proposed using EEG (
electroencephalography) signals to characterize migraine patients with aura (MwA). The …

Long-term continuous wireless monitoring of neural signals enables early detection of
neurological disorders without restricting the patient's mobility. Existing wireless neural …