Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …

Outcome measurement in the field of psychotherapy has developed considerably in the last
decade. This review discusses key issues related to outcome measurement, modeling, and …

It is a major challenge in clinical epilepsy to diagnose and treat a disease characterized by
infrequent seizures based on patient or caregiver reports and limited duration clinical …

Background Epilepsy is one of the most common neurological conditions globally, and the
fourth most common in the United States. Recurrent non-provoked seizures characterize it …

The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …

Accurate identification of seizure activity, both clinical and subclinical, has important
implications in the management of epilepsy. Accurate recognition of seizure activity is …

Background Circadian and multiday rhythms are found across many biological systems,
including cardiology, endocrinology, neurology, and immunology. In people with epilepsy …

The unpredictability of epileptic seizures exposes people with epilepsy to potential physical
harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure …

To date, the unpredictability of seizures remains a source of suffering for people with
epilepsy, motivating decades of research into methods to forecast seizures. Originally, only …