The healthcare industry is rapidly automating, in large part because of the Internet of Things
(IoT). The sector of the IoT devoted to medical research is sometimes called the Internet of …

In recent years, sEMG (surface electromyography) signals have been increasingly used to
operate wearable devices. The development of mechanical lower limbs or exoskeletons …

Epilepsy is a chronic neurological disorder that may be diagnosed and monitored using
routine diagnostic tests like Electroencephalography (EEG). However, manual introspection …

Brain Epilepsy seizure is a critical disorder, which is an uncontrolled burst of electrical
activity of brain. The early detection of brain seizure can save the life of humans. The …

Changes in the geological environment and track wear, and deterioration of train bogies
may lead to the looseness of subway fasteners. Identifying loose fasteners randomly …

Epilepsy is a common condition that causes frequent seizures, significantly impacting
patients' daily lives. Non-invasive EEG is an effective tool for detecting seizure onset …

Post-Traumatic Stress Disorder (PTSD) is a complex syndrome that may occur after
overwhelming circumstances frequently involving threatened death or injury that consist of …

Electroencephalography (EEG) is typical time-series data. Designing an automatic detection
model for EEG is of great significance for disease diagnosis. For example, EEG stands as …

Among people who suffer from epilepsy, seizure detection is crucial to improving their
wellbeing. Through the integration of sophisticated feature selection and a reliable …

Journal of Education for Pure Science- University of Thi-Qar Epileptic Seizure Detection
Using Feature Importance and ML Classif Page 1 Journal of Education for Pure Science …