Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …

Purpose Heart rate-based seizure detection is a viable complement or alternative to
ECoG/EEG. This study investigates the role of various biological factors on the probability of …

Growing evidence shows the bidirectional interactions between sleep, circadian rhythm, and
epilepsy. Comprehending how these interact with each other may help to advance our …

Epilepsy is defined by the seemingly random occurrence of spontaneous seizures. The
ability to anticipate seizures would enable preventative treatment strategies. A central but …

Background and Objectives We compared heart rate variability (HRV) in sudden unexpected
death in epilepsy (SUDEP) cases and living epilepsy controls. Methods This international …

Objective Seizure unpredictability is rated as one of the most challenging aspects of living
with epilepsy. Seizure likelihood can be influenced by a range of environmental and …

Personalized medicine requires that treatments adapt to not only the patient but also
changing factors within each individual. Although epilepsy is a dynamic disorder …

Purpose: Epilepsy is associated with near‐fatal and fatal arrhythmias, and sudden
unexpected death in epilepsy (SUDEP) is partly related to cardiac events. Dysfunction of the …

Besides triggering alarms, wearable seizure detection devices record a variety of biosignals
that represent biomarkers of seizure severity. There is a need for automated seizure …

It is now established that epilepsy is characterized by periodic dynamics that increase
seizure likelihood at certain times of day, and which are highly patient-specific. However …