Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy.

ABSTRACT: BACKGROUND:The interplay between sleep structure and seizure probability has previously been studied using electroencephalography (EEG). Combining sleep assessment and detection of epileptic activity in ultralong-term EEG could potentially optimize seizure treatment and sleep quality of patients with epilepsy. However, the current gold standard polysomnography (PSG) limits sleep recording to a few nights. A novel subcutaneous device was developed to record ultralong-term EEG, and has been shown to measure events of clinical relevance for patients with epilepsy. We investigated whether subcutaneous EEG recordings can also be used to automatically assess the sleep architecture of epilepsy patients. METHOD:Four adult inpatients with probable or definite temporal lobe epilepsy were monitored s

SUBMITTER: Gangstad SW 

PROVIDER: S-EPMC6822424 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature