close
Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Sep;6(3):569-578.
doi: 10.1002/epi4.12517. Epub 2021 Jul 16.

How much time is enough? Establishing an optimal duration of recording for ambulatory video EEG

Affiliations

How much time is enough? Establishing an optimal duration of recording for ambulatory video EEG

Hans Klein et al. Epilepsia Open. 2021 Sep.

Abstract

Objective: Ambulatory video EEG allows for extended recording of EEG in the comfort of a patient's home. However, the optimal duration of recording to capture clinical events is yet to be established. The current study uses retrospective analyses to identify an optimal recording duration for at-home video EEG.

Methods: A retrospective review was performed utilizing an anonymized database of ambulatory video EEG recordings performed between March and September 2020 with a national in-home EEG provider. Only completed assessments with neurologists' reads of raw data were reviewed, resulting in 3644 unique studies divided into three age cohorts: pediatrics (n = 941), adult (n = 2020), and geriatric (n = 683). Cohorts were characterized by assessment yield and time to first typical clinical event, as well as subsequent typical events over duration of recording.

Results: Frequency distributions reveal over half of first events are captured within 12 hours, but longer recording durations capture a much wider majority of both first typical events, as well as the mean number of subsequent events (5 clinical events). In 72 hours, over 97% of first events were observed in adult and geriatric patients, as well as over 95% of the mean number of subsequent events. In children, time to first event was significantly earlier than either adult or geriatric samples, with 98% of first events, and 92.8% of the mean number of subsequent events being observed in 48 hours.

Significance: These results from a large-scale, national dataset of patients using in-home EEG monitoring suggests recording at least 48 hours in duration for children, and at least 72 hours in duration for adult and geriatric samples, is optimal to maximize the likelihood of observing typical clinical events to facilitate diagnosis.

Keywords: epilepsy; epilepsy monitoring; recording duration; remote care; video electroencephalography.

PubMed Disclaimer

Conflict of interest statement

HK and JS are employees of Stratus, a neurodiagnostic company specializing in in‐home EEG monitoring. Stratus is also the funder for the current research program. No other authors report any conflicts of interests or disclosures relating to this manuscript. 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.

Figures

FIGURE 1
FIGURE 1
Diagram of retrospective review for in‐home patient recordings performed between March 2020 and September 2020. For this study, only completed recordings with available neurologist reports of EEG data were reviewed
FIGURE 2
FIGURE 2
Frequency distributions of time to first event from start of EEG recording, grouped by age along with cumulative incidence curves

References

    1. Modur PN, Rigdon B. Diagnostic yield of sequential routine EEG and extended outpatient video‐EEG monitoring. Clin Neurophysiol. 2008;119:190–6. - PubMed
    1. Burkholder DB, Britton JW, Rajasekaran V, Fabris RR, Cherian PJ, Kelly‐Williams KM, et al. Routine vs extended outpatient EEG for the detection of interictal epileptiform discharges. Neurology. 2016;86:1524–30. - PMC - PubMed
    1. Eisenman LN, Attarian H, Fessler AJ, Vahle VJ, Gilliam F. Self‐reported seizure frequency and time to first event in the seizure monitoring unit. Epilepsia. 2005;46:664–8. - PubMed
    1. Todorov AB, Lesser RP, Uematsu SS, Yankov YA, Todorov AA Jr. Distribution in time of seizures during presurgical EEG monitoring. Neurology. 1994;44:1060–4. - PubMed
    1. Celik SY, Headley AJ, Shih JJ. Clinical characteristics of video‐EEG patients: limited utility of prolonging VEEG study duration beyond 5days for spell classification. Epilepsy Behav. 2020;103:106827. - PubMed

Publication types