Evidence map›Paper›PMID 38534490›Full record

ArticleBioengineering (Basel, Switzerland)2024

Deep Learning for Generalized EEG Seizure Detection after Hypoxia-Ischemia-Preclinical Validation.

Hamid Abbasi, Joanne O Davidson, Simerdeep K Dhillon, Kelly Q Zhou, Guido Wassink, Alistair J Gunn, Laura Bennet

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. 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
3.3field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

7 authors at 1 institution in 1 country.

Hamid AbbasiDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0003-1136-3280
Joanne O DavidsonDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Simerdeep K DhillonDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Kelly Q ZhouDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Guido WassinkDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
Alistair J GunnDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.ORCID 0000-0003-0656-7035
Laura BennetDepartment of Physiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand.
University of Auckland · NZ

Funding

Health Research Council of New Zealand 17/601Health Research Council of New Zealand 18/225
6 · The paper itself

Abstract

Brain maturity and many clinical treatments such as therapeutic hypothermia (TH) can significantly influence the morphology of neonatal EEG seizures after hypoxia-ischemia (HI), and so there is a need for generalized automatic seizure identification. This study validates efficacy of advanced deep-learning pattern classifiers based on a convolutional neural network (CNN) for seizure detection after HI in fetal sheep and determines the effects of maturation and brain cooling on their accuracy. The cohorts included HI-normothermia term (

Indexed as

deep learningEEGfull-term and preterm fetal sheephypothermianeonatal hypoxic–ischemic encephalopathypattern recognitionseizure detection

Identifiers

PMID38534490
PMCPMC10968073
OpenAlexW4392168835

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.