Evidence map›Paper›PMID 40591613›Full record

ArticlePloS one2025

Feasibility of recording EEG in the ambulance using a portable, wireless EEG recording system.

Sampsa Lohi, Pekka Jäkälä, Jouni Kurola, Pasi Tuunanen, Susanna Westeren-Punnonen, Anu Muraja-Murro, Reetta Kälviäinen, Esa Mervaala

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Sampsa LohiDepartment of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.ORCID https://orcid.org/0000-0002-5578-5680
Pekka JäkäläDepartment of Neurology, Kuopio University Hospital, Kuopio, Finland.
Jouni KurolaInstitute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Pasi TuunanenDepartment of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.
Susanna Westeren-PunnonenDepartment of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.
Anu Muraja-MurroDepartment of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.
Reetta KälviäinenInstitute of Clinical Medicine, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.
Esa MervaalaDepartment of Clinical Neurophysiology, Kuopio University Hospital, Member of ERN EpiCARE, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTriaging acute ischemic stroke patients is difficult in prehospital settings. We investigated if a quickly applicable and compact EEG recording system is usable for stroke patients in the ambulance.

methodsThe EEG of 10 acute stroke patients from Kuopio University Hospital, Finland was recorded using a forehead EEG electrode set and compact EEG amplifier-recorder during their ambulance transfer to another healthcare facility. The recordings were transmitted wirelessly in real time to our server, and their quality and the interruptions and technical difficulties in the wireless data transfer were analysed.

resultsIn 9 of the 10 recordings, the signal quality was sufficient for interpreting at least half of the recording. The signal quality suffered from artefacts caused by the patients' movements and the loosening of the electrode contacts. Only 50-Hz AC artefacts that affected the reference electrode were considered obtrusive and required digital filtering in two recordings.

conclusionsWe demonstrated that adequate-quality EEG can be recorded in an ambulance using a quickly applicable and compact recording system and reliably transferred to a remote server for real-time review. SIGNIFICANCE: This system can be used to measure EEG in acute indications in the prehospital setting.

Indexed as

AmbulancesElectroencephalographyWireless TechnologyAgedAged, 80 and overElectrodesFeasibility StudiesFemaleFinlandHumansMaleMiddle Aged

Identifiers

PMID40591613
PMCPMC12212525

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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.