Calculation of compact amplitude-integrated EEG tracing and upper and lower margins using raw EEG data

Health

ISSN Print: 1949-4998
ISSN Online: 1949-5005
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"Calculation of compact amplitude-integrated EEG tracing and upper and lower margins using raw EEG data"
written by Dandan Zhang, Haiyan Ding,
published by Health, Vol.5 No.5, 2013

has been cited by the following article(s):

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[1]	EEG monitoring during anesthesia in children aged 0 to 18 months: amplitude-integrated EEG and age effects
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[2]	Quantitative EEG Analysis in Intensive Care Patients
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[3]	electroencephalography analysis of sleep architecture in mechanically ventilated children
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[4]	A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure
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[5]	Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks
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[6]	Rigor of Neurovascular Coupling (NVC) Assessment in Newborns Using Different Amplitude EEG Algorithms
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[7]	Novel Quantification of Neurovascular Coupling (NVC) to Predict Brain Injury in Neonates with Hypoxic Ischemic Encephalopathy
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[8]	Neurovascular Coupling (NVC) in Newborns based on regional cerebral tissue oxygenation and amplitude EEG
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[9]	ELECTROENCEPHALOGRAM DATA INTEGRATION PLATFORM FOR APPLICATION OF DATA REDUCTION METHODS
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[10]	Amplitude-integrated electroencephalography applications and algorithms in neonates: a systematic review
	2019

[11]	Features and prognostic value of quantitative electroencephalogram changes in critically ill and non-critically ill anti-NMDAR encephalitis patients: a pilot …
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[12]	WU-NEAT: A clinically validated, open-source MATLAB toolbox for limited-channel neonatal EEG analysis
	2018

[13]	Features and Prognostic Value of Quantitative Electroencephalogram Changes in Critically Ill and Non-critically Ill Anti-NMDAR Encephalitis Patients: A Pilot Study
	Frontiers in Neurology, 2018

[14]	Development of a Neonatal EEG Monitor for Automated Brain Analysis
	2018

[15]	Are All Amplitude-Integrated Electroencephalogram Systems Equal?
	Neonatology, 2017

[16]	Lost in Transition: A Systematic Review of Neonatal Electroencephalography in the Delivery Room—Are We Forgetting an Important Biomarker for Newborn …
	Frontiers in Pediatrics, 2017

[17]	Lost in transition: a systematic review of neonatal electroencephalography in the delivery room—are we forgetting an important biomarker for newborn brain …
	2017

[18]	Applying Hilbert Transform to Monitor Cerebral Function of Patients Diagnosed with Mesial Temporal Lobe Epilepsy: Comparison Between aEEG and HaEEG
	XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016, 2016

[19]	CHARACTERISATION AND SEPARATION OF BRAINWAVE SIGNALS
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[20]	Aplicação da transformada de Hilbert para redução do eletroencefalograma multicanal de longa duração
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[21]	APLICACAO DA TRANSFORMADA DE HILBERT PARA REDUCAO DO ELETROENCEFALOGRAMA MULTICANAL DE LONGA DURACAO
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[1]	Handbook of Neuroengineering 2023 DOI:10.1007/978-981-16-5540-1_91

[2]	Handbook of Neuroengineering 2023 DOI:10.1007/978-981-16-5540-1_91

[3]	Multi-scale transformation-based image representation and analysis of amplitude-integrated EEG Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 2023 DOI:10.1117/12.2687777

[4]	Quantitative EEG in the neonatal intensive care unit: Current application and future promise Annals of the Child Neurology Society, 2023 DOI:10.1002/cns3.20042

[5]	EEG monitoring during anesthesia in children aged 0 to 18 months: amplitude-integrated EEG and age effects BMC Pediatrics, 2022 DOI:10.1186/s12887-022-03180-x

[6]	Handbook of Neuroengineering 2022 DOI:10.1007/978-981-15-2848-4_91-1

[7]	A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure Biomedical Signal Processing and Control, 2021 DOI:10.1016/j.bspc.2021.102433

[8]	A digitized approach for amplitude-integrated electroencephalogram transformation towards a standardized procedure Biomedical Signal Processing and Control, 2021 DOI:10.1016/j.bspc.2021.102433

[9]	Automated diagnosis of neonatal encephalopathy on aEEG using deep neural networks Neurocomputing, 2020 DOI:10.1016/j.neucom.2020.01.057

[10]	Rigor of Neurovascular Coupling (NVC) Assessment in Newborns Using Different Amplitude EEG Algorithms Scientific Reports, 2020 DOI:10.1038/s41598-020-66227-y

[11]	Neurovascular Coupling (NVC) in Newborns based on regional cerebral tissue oxygenation and amplitude EEG Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN), 2020 DOI:10.1364/TRANSLATIONAL.2020.JTu3A.25

[12]	Rigor of Neurovascular Coupling (NVC) Assessment in Newborns Using Different Amplitude EEG Algorithms Scientific Reports, 2020 DOI:10.1038/s41598-020-66227-y

[13]	Amplitude-Integrated Electroencephalography Applications and Algorithms in Neonates: A Systematic Review IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2944531

[14]	Features and Prognostic Value of Quantitative Electroencephalogram Changes in Critically Ill and Non-critically Ill Anti-NMDAR Encephalitis Patients: A Pilot Study Frontiers in Neurology, 2018 DOI:10.3389/fneur.2018.00833

[15]	Lost in Transition: A Systematic Review of Neonatal Electroencephalography in the Delivery Room—Are We Forgetting an Important Biomarker for Newborn Brain Health? Frontiers in Pediatrics, 2017 DOI:10.3389/fped.2017.00173

[16]	XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 IFMBE Proceedings, 2016 DOI:10.1007/978-3-319-32703-7_20

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