Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as
healthcare and education. Facial expressions and tone of speech have been previously …

Introduction and purpose The continuously expanding research and development of
wearable devices for automated seizure detection in epilepsy uses mostly non-invasive …

The recurrent and unpredictable nature of seizures can lead to unintentional injuries and
even death. The rapid development of electroencephalogram (EEG) and Artificial …

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 …

Mental health disorders are an increasing global public health concern that contribute to
morbidity, mortality, disability, and healthcare costs across the world. Biomedical and …

Patient-generated health data provide a great opportunity for more detailed ambulatory
monitoring and more personalized treatments in many diseases. In epilepsy, robust …

A reliable seizure detection or prediction device can potentially reduce the morbidity and
mortality associated with epileptic seizures. Previous findings indicating alterations in …

Epilepsy, one of the most common neurological disorders, often is not well controlled by
current pharmacological and surgical treatments. Sensory neuromodulation, including multi …

Introduction Automated seizure detection promises to aid in the prevention of SUDEP and
improve the quality of care by assisting in epilepsy diagnosis and treatment adjustment …

Wearable devices and mobile health (mHealth) software applications (apps) have the
potential to optimize personalized medical care for persons with epilepsy (PWE). 1 There …