Next Article in Journal
On the Path to Optimizing the Al-Co-Cr-Cu-Fe-Ni-Ti High Entropy Alloy Family for High Temperature Applications
Next Article in Special Issue
Complexity Analysis of Surface EMG for Overcoming ECG Interference toward Proportional Myoelectric Control
Previous Article in Journal
System Entropy Measurement of Stochastic Partial Differential Systems
Previous Article in Special Issue
Local Band Spectral Entropy Based on Wavelet Packet Applied to Surface EMG Signals Analysis
Article Menu

Export Article

Open AccessArticle
Entropy 2016, 18(3), 103; doi:10.3390/e18030103

Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG

1
Department of Electronic Engineering, Universidad San Buenaventura, Cali 760033, Colombia
2
Department of Automatic Control, Universitat Politècnica de Catalunya, Barcelona 08028, Spain
3
Center for Biomedical Engineering Research, Universitat Politècnica de Catalunya, Barcelona 08028, Spain
4
CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08028, Spain
5
Systems Pharmacology Effect Control & Modeling (SPEC-M) Research Group, Department of Anesthesia, Hospital CLINIC de Barcelona, Barcelona 08036, Spain
6
Research and Development Department, Quantium Medical SL, Mataró 08302, Spain
7
Department of Biomedical Sciences for Health, University of Milan, Milan 20097, Italy
8
Department of Cardiothoracic-Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, Milan 20097, Italy
9
Department of Anesthesia and Perioperative Care, University of California San Francisco (UCSF), San Francisco, CA 94143, USA
This paper is an extended version of our paper published in the 8th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO 2014), Trento, Italy, 25–28 May 2014.
*
Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz Martínez
Received: 29 January 2016 / Revised: 7 March 2016 / Accepted: 14 March 2016 / Published: 18 March 2016
View Full-Text   |   Download PDF [611 KB, uploaded 18 March 2016]   |  

Abstract

The level of sedation in patients undergoing medical procedures is decided to assure unconsciousness and prevent pain. The monitors of depth of anesthesia, based on the analysis of the electroencephalogram (EEG), have been progressively introduced into the daily practice to provide additional information about the state of the patient. However, the quantification of analgesia still remains an open problem. The purpose of this work was to analyze the capability of prediction of nociceptive responses based on refined multiscale entropy (RMSE) and auto mutual information function (AMIF) applied to EEG signals recorded in 378 patients scheduled to undergo ultrasonographic endoscopy under sedation-analgesia. Two observed categorical responses after the application of painful stimulation were analyzed: the evaluation of the Ramsay Sedation Scale (RSS) after nail bed compression and the presence of gag reflex (GAG) during endoscopy tube insertion. In addition, bispectrum (BIS), heart rate (HR), predicted concentrations of propofol (CeProp) and remifentanil (CeRemi) were annotated with a resolution of 1 s. Results showed that functions based on RMSE, AMIF, HR and CeRemi permitted predicting different stimulation responses during sedation better than BIS. View Full-Text
Keywords: painful stimulation; nociception; sedation-analgesia; electroencephalography; refined multiscale entropy; auto mutual information function; 87.; 87.85.-d; 87.85.Ng; 87.19.-j; 87.19.le painful stimulation; nociception; sedation-analgesia; electroencephalography; refined multiscale entropy; auto mutual information function; 87.; 87.85.-d; 87.85.Ng; 87.19.-j; 87.19.le
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Valencia, J.F.; Melia, U.S.P.; Vallverdú, M.; Borrat, X.; Jospin, M.; Jensen, E.W.; Porta, A.; Gambús, P.L.; Caminal, P. Assessment of Nociceptive Responsiveness Levels during Sedation-Analgesia by Entropy Analysis of EEG. Entropy 2016, 18, 103.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top