Journal
CLINICAL NEUROPHYSIOLOGY
Volume 141, Issue -, Pages 77-87Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.clinph.2022.07.003
Keywords
Subscalp; EEG; Wearable; Epilepsy monitoring; Seizure detection
Categories
Funding
- Mike Hogg Fund
- NINDS [K08NS110924]
- MEDVAMC bridge and seed award
Ask authors/readers for more resources
Sub-scalp electroencephalography (ssEEG) is a promising technology for ultra-long-term EEG recordings. This review examines the potential utility of ssEEG devices in epilepsy evaluation, including seizure quantification, characterization, localization, alarms, forecasting, biomarker discovery, sleep medicine, and responsive stimulation. The review also discusses the different ssEEG devices in development and suggests a roadmap for ideal ssEEG designs.
Sub-scalp electroencephalography (ssEEG) is emerging as a promising technology in ultra-long-term electroencephalography (EEG) recordings. Given the diversity of devices available in this nascent field, uncertainty persists about its utility in epilepsy evaluation. This review critically dissects the many proposed utilities of ssEEG devices including (1) seizure quantification, (2) seizure characterization, (3) seizure lateralization, (4) seizure localization, (5) seizure alarms, (6) seizure forecasting, (7) biomarker discovery, (8) sleep medicine, and (9) responsive stimulation. The different ssEEG devices in development have individual design philosophies with unique strengths and limitations. There are devices offering primarily unilateral recordings (24/7 EEG (TM) SubQ, Neuroview (TM), Soenia (R) UltimateEEG (TM)), bilateral recordings (Minder (TM), Epios (TM)), and even those with responsive stimulation capability (EASEE (R)). We synthesize the current knowledge of these ssEEG systems. We review the (1) ssEEG devices, (2) use case scenarios, (3) challenges and (4) suggest a roadmap for ideal ssEEG designs. Published by Elsevier B.V. on behalf of International Federation of Clinical Neurophysiology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available