Signal quality and power spectrum analysis of remote ultra long‐term subcutaneous EEG

• Published in: Epilepsia (Copenhagen) Vol. 62; no. 8; pp. 1820 - 1828
• Main Authors: Viana, Pedro F., Remvig, Line S., Duun‐Henriksen, Jonas, Glasstetter, Martin, Dümpelmann, Matthias, Nurse, Ewan S., Martins, Isabel P., Schulze‐Bonhage, Andreas, Freestone, Dean R., Brinkmann, Benjamin H., Kjaer, Troels W., Richardson, Mark P.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.08.2021
• Subjects: Convulsions & seizures; Diurnal; EEG; Electroencephalography; Epilepsy; Epilepsy - diagnosis; Humans; Interfaces; long‐term EEG monitoring; Nocturnal; power spectrum; Regression analysis; seizure detection; seizure forecasting; Seizures; Seizures - diagnosis; Spectrum Analysis; subcutaneous EEG; Subcutaneous Tissue; power spectrum; long-term EEG monitoring; seizure detection; subcutaneous EEG; seizure forecasting

Objective Ultra long‐term subcutaneous electroencephalography (sqEEG) monitoring is a new modality with great potential for both health and disease, including epileptic seizure detection and forecasting. However, little is known about the long‐term quality and consistency of the sqEEG signal, which...