Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor.

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Clinical Neurophysiology

• Publication date

  2016-09-01

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1016/j.clinph.2016.06.018PMID 27472536
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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  2015cited by this paper
• Improvement of an automated neonatal seizure detector using a post-processing technique

  2015influential reference
• EEG Feature Pre-processing for Neonatal Epileptic Seizure Detection

  2014cited by this paper
• Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary

  2014cited by this paper
• Neurology of the newborn.

  2013cited by this paper
• A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity.

  2012influential reference
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  2011cited by this paper
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  2011cited by this paper
• EEG-based neonatal seizure detection with Support Vector Machines

  2011cited by this paper
• Validation of a new automated neonatal seizure detection system: a clinician's perspective.

  2011influential reference
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  2011influential reference
• A Multistage System for the Automated Detection of Epileptic Seizures in Neonatal Electroencephalography

  2009cited by this paper
• Technical standards for recording and interpretation of neonatal electroencephalogram in clinical practice

  2009cited by this paper
• A Multi-stage System for the Automated Detection of Epileptic Seizures in Neonatal EEG

  2009cited by this paper
• An SVM-based system and its performance for detection of seizures in neonates

  2009influential reference
• A comparison of quantitative EEG features for neonatal seizure detection.

  2008cited by this paper
• Neonatal seizure detection.

  2008cited by this paper
• Automated neonatal seizure detection mimicking a human observer reading EEG.

  2008cited by this paper
• A multistage knowledge-based system for EEG seizure detection in newborn infants.

  2007cited by this paper
• A note on Platt’s probabilistic outputs for support vector machines

  2007cited by this paper
• Defining the gap between electrographic seizure burden, clinical expression and staff recognition of neonatal seizures

  2007cited by this paper
• Seizure detection algorithm for neonates based on wave-sequence analysis.

  2006cited by this paper
• Etiology of Neonatal Seizures

  2004cited by this paper
• Time-frequency based newborn EEG seizure detection using low and high frequency signatures.

  2004cited by this paper
• Non-expert use of the cerebral function monitor for neonatal seizure detection

  2004cited by this paper
• An introduction to variable and feature selection

  2003cited by this paper
• Uncoupling of EEG-clinical neonatal seizures after antiepileptic drug use.

  2003cited by this paper
• An Introduction to Variable and Feature Selection

  2003cited by this paper
• A computer-aided detection of EEG seizures in infants: a singular-spectrum approach and performance comparison

  2002cited by this paper
• Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

  2000cited by this paper
• Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods

  1999cited by this paper
• Seizure detection of newborn EEG using a model-based approach

  1998cited by this paper
• Automatic seizure detection in the newborn: methods and initial evaluation.

  1997cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996cited by this paper
• Spatial and Temporal Characteristics of Neonatal Seizures

  1995cited by this paper
• Evaluation of the Cerebro Trac 2500 for monitoring of cerebral function in the neonatal intensive care.

  1994cited by this paper
• A comparison on neural net simulators

  1993cited by this paper
• Detection of neonatal seizures through computerized EEG analysis.

  1992cited by this paper
• Automatic seizure detection: improvements and evaluation.

  1990cited by this paper
• Clinical and EEG response to anticonvulsants in neonatal seizures.

  1989cited by this paper
• Robust regression using iteratively reweighted least-squares

  1977influential reference
• The electroencephalogram in clinical practice.

  1969cited by this paper

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  2022cites this paper
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• Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.

  2022cites this paper
• Ensemble Learning Using Individual Neonatal Data for Seizure Detection

  2022cites this paper
• Current Status and Future Directions of Neuromonitoring With Emerging Technologies in Neonatal Care

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  2022cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2020cites this paper
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  2020cites this paper
• Machine learning applications for electroencephalograph signals in epilepsy: a quick review

  2020cites this paper
• Deep Learning for EEG Seizure Detection in Preterm Infants

  2020cites this paper
• Research on the Effects of Medications in Pregnancy and in Children

  2019cites this paper
• Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.

  2019cites this paper
• Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalography

  2019cites this paper
• Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalography

  2019cites this paper
• NeoGuard: a public, online learning platform for neonatal seizures

  2019cites this paper
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  2019cites this paper
• Automated EEG Analysis for Neonatal Intensive Care

  2019cites this paper
• Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection

  2019cites this paper
• Weighted Performance Metrics for Automatic Neonatal Seizure Detection Using Multiscored EEG Data

  2018influential citation
• Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review

  2018cites this paper
• Bio-Signal Complexity Analysis in Epileptic Seizure Monitoring: A Topic Review

  2018cites this paper
• Toward a Personalized Real-Time Diagnosis in Neonatal Seizure Detection

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  2017cites this paper
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  2017cites this paper
• Incorporating spike correlations into an SVM-based neonatal seizure detector

  2017cites this paper
• Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG database.

  2017cites this paper
• Corrigendum to "Improved multi-stage neonatal seizure detection using a heuristic classifier and a data-driven post-processor" [Clin Neurophysiol 127 (2016) 3014-3024].

  2016cites this paper