Literature DB >> 17518280

Detrended fluctuation analysis of EEG as a measure of depth of anesthesia.

Mathieu Jospin1, Pere Caminal, Erik W Jensen, Hector Litvan, Montserrat Vallverdú, Michel M R F Struys, Hugo E M Vereecke, Daniel T Kaplan.   

Abstract

For several decades, a number of methods have been developed for the noninvasive assessment of the level of consciousness during general anesthesia. In this paper, detrended fluctuation analysis is used to study the scaling behavior of the electroencephalogram as a measure of the level of consciousness. Three indexes are proposed in order to characterize the patient state. Statistical analysis demonstrates that they allow significant discrimination between the awake, sedated and anesthetized states. Two of them present a good correlation with established indexes of depth of anesthesia. The scaling behavior has been found related to the depth of anesthesia and the methodology allows real-time implementation, which enables its application in monitoring devices.

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Year:  2007        PMID: 17518280     DOI: 10.1109/TBME.2007.893453

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  21 in total

1.  Heart rate variability as a biomarker for sedation depth estimation in ICU patients.

Authors:  Sunil B Nagaraj; Sowmya M Ramaswamy; Siddharth Biswal; Emily J Boyle; David W Zhou; Lauren M Mcclain; Eric S Rosenthal; Patrick L Purdon; M Brandon Westover
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Long-range temporal correlations in the brain distinguish conscious wakefulness from induced unconsciousness.

Authors:  Thomas Thiery; Tarek Lajnef; Etienne Combrisson; Arthur Dehgan; Pierre Rainville; George A Mashour; Stefanie Blain-Moraes; Karim Jerbi
Journal:  Neuroimage       Date:  2018-06-07       Impact factor: 6.556

3.  Monitoring the level of hypnosis using a hierarchical SVM system.

Authors:  Ahmad Shalbaf; Reza Shalbaf; Mohsen Saffar; Jamie Sleigh
Journal:  J Clin Monit Comput       Date:  2019-04-15       Impact factor: 2.502

4.  Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability.

Authors:  Sunil B Nagaraj; Siddharth Biswal; Emily J Boyle; David W Zhou; Lauren M McClain; Ednan K Bajwa; Sadeq A Quraishi; Oluwaseun Akeju; Riccardo Barbieri; Patrick L Purdon; M Brandon Westover
Journal:  Crit Care Med       Date:  2017-07       Impact factor: 7.598

5.  Multi-scale sample entropy of electroencephalography during sevoflurane anesthesia.

Authors:  Yinghua Wang; Zhenhu Liang; Logan J Voss; Jamie W Sleigh; Xiaoli Li
Journal:  J Clin Monit Comput       Date:  2014-01-11       Impact factor: 2.502

6.  Detrended fluctuation analysis of intracranial pressure predicts outcome following traumatic brain injury.

Authors:  Robert L Burr; Catherine J Kirkness; Pamela H Mitchell
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

7.  Adaptive Sedation Monitoring From EEG in ICU Patients With Online Learning.

Authors:  Wei-Long Zheng; Haoqi Sun; Oluwaseun Akeju; M Brandon Westover
Journal:  IEEE Trans Biomed Eng       Date:  2019-09-23       Impact factor: 4.538

8.  Electromyographic activation reveals cortical and sub-cortical dissociation during emergence from general anesthesia.

Authors:  Darren F Hight; Logan J Voss; Paul S García; Jamie W Sleigh
Journal:  J Clin Monit Comput       Date:  2016-07-21       Impact factor: 2.502

9.  Membrane current series monitoring: essential reduction of data points to finite number of stable parameters.

Authors:  Raoul R Nigmatullin; Rashid A Giniatullin; Andrei I Skorinkin
Journal:  Front Comput Neurosci       Date:  2014-09-26       Impact factor: 2.380

10.  Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition.

Authors:  Sunil Belur Nagaraj; Lauren M McClain; Emily J Boyle; David W Zhou; Sowmya M Ramaswamy; Siddharth Biswal; Oluwaseun Akeju; Patrick L Purdon; M Brandon Westover
Journal:  IEEE Trans Biomed Eng       Date:  2018-03-07       Impact factor: 4.538

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