The clinical expression of seizures represents the main symptomatic burden of epilepsy.
Neural mechanisms of semiologic production in epilepsy, especially for complex behaviors …

Currently, information and communication technology (ICT) allows health institutions to
reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) …

Objective Tracking seizures is crucial for epilepsy monitoring and treatment evaluation.
Current epilepsy care relies on caretaker seizure diaries, but clinical seizure monitoring may …

Objective Seizure forecasting may provide patients with timely warnings to adapt their daily
activities and help clinicians deliver more objective, personalized treatments. Although …

With sudden and unpredictable nature, seizures lead to great risk of the secondary damage,
status epilepticus, and sudden unexpected death in epilepsy. Thus, it is essential to use a …

In this work, an attempt has been made to classify emotional states using electrodermal
activity (EDA) signals and multiscale convolutional neural networks. For this, EDA signals …

Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The
effects of NDDs, including irreversible motor impairments, have an impact not only on …

Objective: Wrist-worn wearable devices that monitor autonomous nervous system function
and movement have shown promise in providing non-invasive, broadly applicable seizure …

Proof-of-principle studies suggest that seizure prediction from non-invasive device
recordings may be feasible. However, the discovery of optimal biomarkers is an ongoing …

Today's sedentary life leads to a plethora of lifestyle-related illnesses. This has led to the
quest to predict diseases before they occur. In the past, research on stress prediction was …