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Items: 1 to 20 of 125

1.

Real-time segmentation of burst suppression patterns in critical care EEG monitoring.

Brandon Westover M, Shafi MM, Ching S, Chemali JJ, Purdon PL, Cash SS, Brown EN.

J Neurosci Methods. 2013 Sep 30;219(1):131-41. doi: 10.1016/j.jneumeth.2013.07.003. Epub 2013 Jul 23.

2.

Monitoring burst suppression in critically ill patients: Multi-centric evaluation of a novel method.

Fürbass F, Herta J, Koren J, Westover MB, Hartmann MM, Gruber A, Baumgartner C, Kluge T.

Clin Neurophysiol. 2016 Apr;127(4):2038-46. doi: 10.1016/j.clinph.2016.02.001. Epub 2016 Feb 9.

3.

Automatic detection of burst suppression.

Wang Y, Agarwal R.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:553-6.

PMID:
18002016
4.

Automatic analysis and monitoring of burst suppression in anesthesia.

Särkelä M, Mustola S, Seppänen T, Koskinen M, Lepola P, Suominen K, Juvonen T, Tolvanen-Laakso H, Jäntti V.

J Clin Monit Comput. 2002 Feb;17(2):125-34.

PMID:
12212991
5.

A closed-loop anesthetic delivery system for real-time control of burst suppression.

Liberman MY, Ching S, Chemali J, Brown EN.

J Neural Eng. 2013 Aug;10(4):046004. doi: 10.1088/1741-2560/10/4/046004. Epub 2013 Jun 7.

6.

Burst suppression probability algorithms: state-space methods for tracking EEG burst suppression.

Chemali J, Ching S, Purdon PL, Solt K, Brown EN.

J Neural Eng. 2013 Oct;10(5):056017. doi: 10.1088/1741-2560/10/5/056017. Epub 2013 Sep 10.

7.

Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.

Pipitone J, Park MT, Winterburn J, Lett TA, Lerch JP, Pruessner JC, Lepage M, Voineskos AN, Chakravarty MM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2014 Nov 1;101:494-512. doi: 10.1016/j.neuroimage.2014.04.054. Epub 2014 Apr 29.

PMID:
24784800
8.

Burst-suppression with identical bursts: a distinct EEG pattern with poor outcome in postanoxic coma.

Hofmeijer J, Tjepkema-Cloostermans MC, van Putten MJ.

Clin Neurophysiol. 2014 May;125(5):947-54. doi: 10.1016/j.clinph.2013.10.017. Epub 2013 Oct 26.

PMID:
24286857
9.

A novel approach for computer assisted EEG monitoring in the adult ICU.

Cloostermans MC, de Vos CC, van Putten MJ.

Clin Neurophysiol. 2011 Oct;122(10):2100-9. doi: 10.1016/j.clinph.2011.02.035. Epub 2011 Apr 6.

PMID:
21474372
10.

Adaptive segmentation of burst-suppression pattern in isoflurane and enflurane anesthesia.

Lipping T, Jäntti V, Yli-Hankala A, Hartikainen K.

Int J Clin Monit Comput. 1995;12(3):161-7.

PMID:
8583169
11.

Predictive value of the bispectral index for burst suppression on diagnostic electroencephalogram during drug-induced coma.

Arbour RB, Dissin J.

J Neurosci Nurs. 2015 Apr;47(2):113-22. doi: 10.1097/JNN.0000000000000124.

PMID:
25629593
12.

A brain-machine interface for control of medically-induced coma.

Shanechi MM, Chemali JJ, Liberman M, Solt K, Brown EN.

PLoS Comput Biol. 2013 Oct;9(10):e1003284. doi: 10.1371/journal.pcbi.1003284. Epub 2013 Oct 31.

13.

Real-time multi-channel monitoring of burst-suppression using neural network technology during pediatric status epilepticus treatment.

Papadelis C, Ashkezari SF, Doshi C, Thome-Souza S, Pearl PL, Grant PE, Tasker RC, Loddenkemper T.

Clin Neurophysiol. 2016 Aug;127(8):2820-31. doi: 10.1016/j.clinph.2016.05.358. Epub 2016 Jun 11.

PMID:
27417058
14.

A brain-machine interface for control of burst suppression in medical coma.

Shanechi MM, Chemali JJ, Liberman M, Solt K, Brown EN.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1575-8. doi: 10.1109/EMBC.2013.6609815.

PMID:
24110002
15.

Spatial variation in automated burst suppression detection in pharmacologically induced coma.

An J, Jonnalagadda D, Moura V, Purdon PL, Brown EN, Westover MB.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:7430-3. doi: 10.1109/EMBC.2015.7320109.

16.

Detection of burst suppression patterns in EEG using recurrence rate.

Liang Z, Wang Y, Ren Y, Li D, Voss L, Sleigh J, Li X.

ScientificWorldJournal. 2014;2014:295070. doi: 10.1155/2014/295070. Epub 2014 Apr 17.

17.

Novel Burst Suppression Segmentation in the Joint Time-Frequency Domain for EEG in Treatment of Status Epilepticus.

Lee J, Song WJ, Lee HW, Shin HC.

Comput Math Methods Med. 2016;2016:2684731. Epub 2016 Nov 2.

18.

Local cortical dynamics of burst suppression in the anaesthetized brain.

Lewis LD, Ching S, Weiner VS, Peterfreund RA, Eskandar EN, Cash SS, Brown EN, Purdon PL.

Brain. 2013 Sep;136(Pt 9):2727-37. doi: 10.1093/brain/awt174. Epub 2013 Jul 25.

19.

Automatic classification of background EEG activity in healthy and sick neonates.

Löfhede J, Thordstein M, Löfgren N, Flisberg A, Rosa-Zurera M, Kjellmer I, Lindecrantz K.

J Neural Eng. 2010 Feb;7(1):16007. doi: 10.1088/1741-2560/7/1/016007. Epub 2010 Jan 14.

PMID:
20075506
20.

EEG sources of noise in intraoperative somatosensory evoked potential monitoring during propofol anesthesia.

Joutsen A, Puumala P, Lyytikäinen LP, Pajulo O, Etelämäki A, Eskola H, Jäntti V.

J Clin Monit Comput. 2009 Aug;23(4):237-42. doi: 10.1007/s10877-009-9188-6. Epub 2009 Jun 30.

PMID:
19565340

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