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Rates of event capture of home video EEG.

Authors :
Nurse ES
Perera T
Hannon T
Wong V
Fernandes KM
Cook MJ
Source :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2023 May; Vol. 149, pp. 12-17. Date of Electronic Publication: 2023 Feb 23.
Publication Year :
2023

Abstract

Objective: Recording electrographic and behavioral information during epileptic and other paroxysmal events is important during video electroencephalography (EEG) monitoring. This study was undertaken to measure the event capture rate of an home service operating across Australia using a shoulder-worn EEG device and telescopic pole-mounted camera.<br />Methods: Neurologist reports were accessed retrospectively. Studies with confirmed events were identified and assessed for event capture by recording modality, whether events were reported or discovered, and physiological state.<br />Results: 6,265 studies were identified, of which 2,788 (44.50%) had events. A total of 15,691 events were captured, of which 77.89% were reported. The EEG amplifier was active for 99.83% of events. The patient was in view of the camera for 94.90% of events. 84.89% of studies had all events on camera, and 2.65% had zero events on camera (mean = 93.66%, median = 100.00%). 84.42% of events from wakefulness were reported, compared to 54.27% from sleep.<br />Conclusions: Event capture was similar to previously reported rates from home studies, with higher capture rates on video. Most patients have all events captured on camera.<br />Significance: Home monitoring is capable of high rates of event capture, and the use of wide-angle cameras allows for all events to be captured in the majority of studies.<br />Competing Interests: Declaration of Competing Interest ESN, TP, and MJC declare a financial interest in Seer Medical Pty. Ltd. We confirm that we have read the Journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines.<br /> (Copyright © 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-8952
Volume :
149
Database :
MEDLINE
Journal :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Publication Type :
Academic Journal
Accession number :
36867914
Full Text :
https://doi.org/10.1016/j.clinph.2023.02.165