Sensors suitable for wearable devices have many special characteristics compared to other
sensors, such as stability, sensitivity, sensor volume, biocompatibility, and so on. With the …

Epilepsy recognition based on electroencephalogram (EEG) and artificial intelligence
technology is the main tool of health analysis and diagnosis in Internet of medical things …

(1) Background: Epilepsy is a neurological disorder that causes repeated seizures. Since
electroencephalogram (EEG) patterns differ in different states (inter-ictal, pre-ictal, and ictal) …

Electroencephalography (EEG) is a common clinical method of recording the electrical
activity of the brain. EEG can record High-Frequency Oscillations (> 80 HZ), which carry …

Healthcare is one of the basic human needs and an important aspect of connected living.
With the advancement of technologies, it is gradually transitioning away from traditional …

Epilepsy is a neurological disease that causes uncontrollable seizures that can lead to
severe or even lethal damage to the patient. This paper proposes an approach to predict …

For epileptic patients, distinguishing between seizure (ictal) and non-seizure (interictal)
states with limited-channel electroencephalogram (EEG) wearables is challenging …

Early prediction of epileptic seizures could help patients get the appropriate treatment in
time and prevent their risks of injury by avoiding dangerous activities. Automatic seizure …

Basketball Activity Recognition (BAR) in sports teams, especially in basketball, to make
statistical analysis of player activity data is currently a very important thing. BAR is one part …

Seizure detection automatically recognizes Electroencephalogram (EEG) signals in epileptic
seizure states through machine learning, time-frequency analysis, statistical test, etc., which …