Evidence map›Paper›PMID 34189361›Full record

ArticleClinical neurophysiology practice2021

Electrographic seizure monitoring with a novel, wireless, single-channel EEG sensor.

Mitchell A Frankel, Mark J Lehmkuhle, Meagan Watson, Kirsten Fetrow, Lauren Frey, Cornelia Drees, Mark C Spitz

Open access · goldAbstract read
In one paragraph

Article in Clinical neurophysiology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  8. Seizure Detection Devices.Journal of clinical medicine · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Mitchell A FrankelEpitel, Inc., Salt Lake City, UT, USA.
Mark J LehmkuhleDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
Meagan WatsonDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
Kirsten FetrowDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
Lauren FreyDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
Cornelia DreesDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
Mark C SpitzDepartment of Neurology, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
University of Colorado Anschutz Medical Campus · USEpitel (United States) · US

Funding

REMI Platform for Remote EEG MonitoringSB1NS100235 · NINDS · EPITEL, INC. · PI LEHMKUHLE, MARK J. · 2022 to 2024
$3.4M
EEG PatchR44NS100235 · NINDS · EPITEL, INC. · PI LEHMKUHLE, MARK J. · 2017 to 2019
$2.1M
EEG PatchR43NS100235 · NINDS · EPITEL, INC. · PI LEHMKUHLE, MARK J. · 2016 to 2016
$231k
NINDS NIH HHS R43 NS100235NINDS NIH HHS R44 NS100235NINDS NIH HHS SB1 NS100235
6 · The paper itself

Abstract

objectiveRecording seizures using personal seizure diaries can be challenging during everyday life and many seizures are missed or mis-reported. People living with epilepsy could benefit by having a more accurate and objective wearable EEG system for counting seizures that can be used outside of the hospital. The objective of this study was to (1) determine which seizure types can be electrographically recorded from the scalp below the hairline, (2) determine epileptologists' ability to identify electrographic seizures from single-channels extracted from full-montage wired-EEG, and (3) determine epileptologists' ability to identify electrographic seizures from Epilog, a wireless single-channel EEG sensor.

methodsEpilog sensors were worn concurrently during epilepsy monitoring unit (EMU) monitoring. During standard-of-care review, epileptologists were asked if the electrographic portion of the seizure was visible on single channels of wired electrodes at locations proximal to Epilog sensors, and if focal-onset, which electrode was closest to the focus. From these locations, single channels of EEG extracted from wired full-montage EEG and the proximal Epilog sensor were presented to 3 blinded epileptologists along with markers for when known seizures occurred (taken from the standard-of-care review). Control segments at inter-ictal times were included as control. The epileptologists were asked whether a seizure event was visible in the single channel EEG record at or near the marker.

resultsA total of 75 seizures were recorded from 22 of 40 adults that wore Epilog during their visit to the EMU. Epileptologists were able to visualize known seizure activity on at least one of the wired electrodes proximal to Epilog sensors for all seizure events. Epileptologists accurately identified seizures in 71% of Epilog recordings and 84% of single-channel wired recordings and were 92% accurate identifying seizures with Epilog when those seizures

conclusionsEpileptologists are able to visualize seizure activity on single-channels of EEG at locations where Epilog sensors are easily placed on the scalp below hairline. Manual review of seizure annotations can be done quickly and accurately (>70% TP and >98% PPV) on single-channel EEG data. Reviewing single-channel EEG is more accurate than what has been reported in the literature on self-reporting seizures in seizure diaries, the current standard of care for seizure counting outside of the EMU. SIGNIFICANCE: Wearable EEG will be important for seizure monitoring outside of the hospital. Epileptologists can accurately identify seizures in single-channel EEG, better than patient self-reporting in diaries based on the literature. Automated or semi-automated seizure detection on single channels of EEG could be used in the future to objectively count seizures to complement the standard of care outside of the EMU without the overt burden upon epileptologist review.

Indexed as

Remote MonitoringSeizure CountingSeizure ReportingTelehealthWearables

Identifiers

PMID34189361
PMCPMC8220094
OpenAlexW3168550883

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.