Trial reportScientific reports2020
Predicting stroke severity with a 3-min recording from the Muse portable EEG system for rapid diagnosis of stroke.
Trial report in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- The Prognostic Utility of Electroencephalography in Stroke Recovery: A Systematic Review and Meta-Analysis.Neurorehabilitation and neural repair · 2022Pooled it
- Quantitative EEG and EEG-Derived Markers of Severity, Prognosis, and Recovery After Ischemic Stroke: A Systematic Review.Archives of academic emergency medicine · 2026Review
- EEG-based stroke severity classification using higher-order topological features and graph convolutional networks.Frontiers in neuroscience · 2026Article
- Electroencephalography (EEG) and Quantitative EEG for Acute Stroke Triage and Post-Reperfusion Monitoring: A Systematic Review.Archives of academic emergency medicine · 2026Review
- Machine learning enhanced noninvasive transcranial stroke detection using a portable eddy current damping sensor.iScience · 2025Article
- Analysis of Physiological Parameters and Driver Posture for Prevention of Road Accidents: A Review.Sensors (Basel, Switzerland) · 2025Review
- Early warning score and feasible complementary approach using artificial intelligence-based bio-signal monitoring system: a review.Biomedical engineering letters · 2025Review
- Comprehensive analysis of stroke epidemiology in Vietnam: Insights from GBD 1990-2019 and RES-Q 2017-2023.Global epidemiology · 2025Article
- Article
- Point-of-Care Electroencephalography in Acute Neurological Care: A Narrative Review.Neurology international · 2025Review
- From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.GeroScience · 2025Article
- Mechanical thrombectomy for acute ischemic stroke after cardiac surgery or intervention: a retrospective cohort analysis.Frontiers in neurology · 2025Article
- Artificial intelligence for brain disease diagnosis using electroencephalogram signals.Journal of Zhejiang University. Science. B · 2024Review
- HEROIC: a platform for remote collection of electroencephalographic data using consumer-grade brain wearables.BMC bioinformatics · 2024Article
- Investigating delirium in stroke with an EEG lens: Focal lesions with global impact?Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Determining the safety of the tobacco cembranoid (1S,2E,4R,6R,7E,11E)-Cembratriene-4,6-diol (4R): A translational study in nonhuman primates.Toxicology and applied pharmacology · 2024Article
- Article
- Task Cortical Connectivity Reveals Different Network Reorganizations between Mild Stroke Patients with Cortical and Subcortical Lesions.Brain sciences · 2023Article
- Assessing stroke rehabilitation degree based on quantitative EEG index and nonlinear parameters.Cognitive neurodynamics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
In this study, we demonstrated the use of low-cost portable electroencephalography (EEG) as a method for prehospital stroke diagnosis. We used a portable EEG system to record data from 25 participants, 16 had acute ischemic stroke events, and compared the results to age-matched controls that included stroke mimics. Delta/alpha ratio (DAR), (delta + theta)/(alpha + beta) ratio (DBATR) and pairwise-derived Brain Symmetry Index (pdBSI) were investigated, as well as head movement using the on-board accelerometer and gyroscope. We then used machine learning to distinguish between different subgroups. DAR and DBATR increased in ischemic stroke patients with increasing stroke severity (p = 0.0021, partial η
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What OpenQuestion holds
Registered trials
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.