Inaccurate subjective seizure counting poses treatment and diagnostic challenges and thus
suboptimal quality in epilepsy management. The limitations of existing hospital‐and home …

Wearable automated seizure detection devices offer a high potential to improve seizure
management, through continuous ambulatory monitoring, accurate seizure counts, and real …

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

Digital therapeutics (DTx) is a section of digital health defined by the DTx Alliance as
“delivering evidence-based therapeutic interventions to patients that are driven by software …

Background A seizure prediction system can detect seizures prior to their occurrence and
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …

Background: Using machine learning to combine wrist accelerometer (ACM) and
electrodermal activity (EDA) has been shown effective to detect primarily and secondarily …

Sudden unexpected death in epilepsy (SUDEP) is most often associated with the
occurrence of generalized tonic–clonic seizures (GTCS), a seizure type that can now be …

One-fourths of the patients have medication-resistant seizures and require seizure detection
and treatment continuously to cope with sudden seizures. Seizures can be detected by …

Automatic recognition methods for non-stationary electroencephalogram (EEG) data
collected from EEG sensors play an essential role in neurological detection. The integrated …

Abstract The Wearables for Epilepsy And Research (WEAR) International Study Group
identified a set of methodology standards to guide research on wearable devices for seizure …