Ensemble Learning Using Individual Neonatal Data for Seizure Detection

Ana Borovac; Steinn Gudmundsson; Gardar Thorvardsson; Saeed M. Moghadam; Päivi Nevalainen; Nathan Stevenson; Sampsa Vanhatalo; Thomas P. Runarsson

doi:10.1109/JTEHM.2022.3201167

Ensemble Learning Using Individual Neonatal Data for Seizure Detection

Ana Borovac, Steinn Gudmundsson, Gardar Thorvardsson, Saeed M. Moghadam, Päivi Nevalainen, Nathan Stevenson, Sampsa Vanhatalo, Thomas P. Runarsson

Forskningsoutput: Tidskriftsbidrag › Artikel › Vetenskaplig › Peer review

Originalspråk	engelska
Artikelnummer	4901111
Tidskrift	IEEE journal of translational engineering in health and medicine
Volym	10
Antal sidor	11
ISSN	2168-2372
DOI	https://doi.org/10.1109/JTEHM.2022.3201167
Status	Publicerad - 2022
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

217 Medicinsk teknik

Åtkomst av dokument

10.1109/JTEHM.2022.3201167

Ensemble_Learning_Using_Individual_Neonatal_Data_for_Seizure_DetectionSlutlig publicerad version, 3,56 MBLicens: CC BY

INFANS - INtegrating Functional Assessment measures for Neonatal Safeguard
Montazeri Moghadam, S. (Projektledare)
10/01/2020 → 10/12/2022
Projekt: Annan projekt

Citera det här

@article{4c07e96b3cc64c69971a82e661ca2ae7,

title = "Ensemble Learning Using Individual Neonatal Data for Seizure Detection",

keywords = "Electroencephalography, Brain modeling, Pediatrics, Data models, Recording, Training, Predictive models, Convolutional neural network, distributed learning, ensemble learning, neonatal EEG, seizure detection algorithm, INTEROBSERVER AGREEMENT, 217 Medical engineering",

author = "Ana Borovac and Steinn Gudmundsson and Gardar Thorvardsson and Moghadam, {Saeed M.} and P{\"a}ivi Nevalainen and Nathan Stevenson and Sampsa Vanhatalo and Runarsson, {Thomas P.}",

year = "2022",

doi = "10.1109/JTEHM.2022.3201167",

language = "English",

volume = "10",

journal = "IEEE journal of translational engineering in health and medicine",

issn = "2168-2372",

publisher = "Institute of Electrical and Electronics Engineers",

}

TY - JOUR

T1 - Ensemble Learning Using Individual Neonatal Data for Seizure Detection

AU - Borovac, Ana

AU - Gudmundsson, Steinn

AU - Thorvardsson, Gardar

AU - Moghadam, Saeed M.

AU - Nevalainen, Päivi

AU - Stevenson, Nathan

AU - Vanhatalo, Sampsa

AU - Runarsson, Thomas P.

PY - 2022

Y1 - 2022

KW - Electroencephalography

KW - Brain modeling

KW - Pediatrics

KW - Data models

KW - Recording

KW - Training

KW - Predictive models

KW - Convolutional neural network

KW - distributed learning

KW - ensemble learning

KW - neonatal EEG

KW - seizure detection algorithm

KW - INTEROBSERVER AGREEMENT

KW - 217 Medical engineering

U2 - 10.1109/JTEHM.2022.3201167

DO - 10.1109/JTEHM.2022.3201167

M3 - Article

SN - 2168-2372

VL - 10

JO - IEEE journal of translational engineering in health and medicine

JF - IEEE journal of translational engineering in health and medicine

M1 - 4901111

ER -

Ensemble Learning Using Individual Neonatal Data for Seizure Detection

Vetenskapsgrenar

Åtkomst av dokument

Projekt

INFANS - INtegrating Functional Assessment measures for Neonatal Safeguard

Citera det här