Novel burst suppression segmentation in the joint time-frequency domain for EEG in treatment of status epilepticus

Jaewoon Lee, Hyang Woon Lee, Hyun Chool Shin

Research output: Contribution to journal › Article › peer-review

Original language	American English
Article number	2684731
Pages (from-to)	1
Number of pages	7
Journal	Computational and Mathematical Methods in Medicine
Volume	2016
State	Published - 30 Sep 2016

Keywords

@article{e24926bdb12f46c09457985d9f15b92f,

title = "Novel burst suppression segmentation in the joint time-frequency domain for EEG in treatment of status epilepticus",

keywords = "Novel, Burst suppression, Time frequency domain, EEG, Status epilepticus, Big Data, Modeling, Treatment, Algorithm",

author = "Jaewoon Lee and Lee, {Hyang Woon} and Shin, {Hyun Chool}",

year = "2016",

month = sep,

day = "30",

language = "American English",

volume = "2016",

pages = "1",

journal = "Computational and Mathematical Methods in Medicine",

issn = "1748-670X",

publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - Novel burst suppression segmentation in the joint time-frequency domain for EEG in treatment of status epilepticus

AU - Lee, Jaewoon

AU - Lee, Hyang Woon

AU - Shin, Hyun Chool

PY - 2016/9/30

Y1 - 2016/9/30

KW - Novel

KW - Burst suppression

KW - Time frequency domain

KW - EEG

KW - Status epilepticus

KW - Big Data

KW - Modeling

KW - Treatment

KW - Algorithm

M3 - Article

SN - 1748-670X

VL - 2016

SP - 1

JO - Computational and Mathematical Methods in Medicine

JF - Computational and Mathematical Methods in Medicine

M1 - 2684731

ER -