Monitoring Depth of Hypnosis under Propofol General Anaesthesia - Granger Causality and Hidden Markov Models
Nicoletta Nicolaou, Julius Georgiou
2013
Abstract
Intra-operative awareness is experienced when a patient regains consciousness during surgery. This work presents a Brain-Computer Interface system that can be used as part of routine surgery for monitoring the patient state of hypnosis in order to prevent intra-operative awareness. The underlying state of hypnosis is estimated using causality-based features extracted from the spontaneous electrical brain activity (EEG) of the patient and a probabilistic classification framework (Hidden Markov Models). The proposed method is applied to EEG activity from 20 patients under propofol anaesthesia. The mean discrimination performance obtained was 98% and 85% for wakefulness and anaesthesia respectively, with an overall performance accuracy of 92%. The use of a probabilistic framework increases the anaesthetist’s confidence on the estimated state of hypnosis based on the marginal probabilities of the underlying state.
References
- Barrett, A., Murphy, M., Bruno, M.-A., Noirhomme, Q., Boly, M., Laureys, S., and Seth, A. (2012). Granger causality analysis of steady-state electroencephalographic signals during propofol-induced anaesthesia. PLoS ONE, 7(1):e29072.
- Bressler, S. and Seth, A. (2010). Wienergranger causality: A well established methodology. NeuroImage, 58(2):323-329.
- Bruhn, J., Myles, P., Sneyd, R., and Struys, M. (2006). Depth of anaesthesia monitoring: what's available, what's validated and what's next? British Journal of Anaesthesia, 97:85-94.
- Florin, E., Gross, J., Pfeifer, J., Fink, G., and Timmermann, L. (2010). The effect of filtering on granger causality based multivariate causality measures. NeuroImage, 50:577588.
- Granger, C. (1980). Testing for causality: a personal viewpoint. J Econ Dyn Control, 2:329-352.
- McEwen, J., Anderson, G., Low, M., and Jenkins, L. (1975). Monitoring the level of anesthesia by automatic analysis of spontaneous eeg activity. IEEE Trans on Biomedical Engineering, BME-22(4):299- 305.
- Murphy, K. (2001). The Bayes Net Toolbox for Matlab. Computing Science and Statistics: Proceedings of the Interface, 33.
- Nicolaou, N. and Georgiou, J. (2013). Neural networkbased classification of anesthesia/awareness using granger causality features. Clinical EEG and Neuroscience, doi:10.1177/1550059413486271.
- Nicolaou, N., Hourris, S., Alexandrou, P., and Georgiou, J. (2012). EEG-based automatic classification of 'awake' versus 'anesthetized' state in general anesthesia using granger causality. PLoS ONE, 7(3):e33869.
- Rabiner, L. (1986). An introduction to hidden Markov models. IEEE ASSP Magazine, 3(1):4-16.
- Voss, L. and Sleigh, J. (2007). Monitoring consciousness: the current status of EEG-based depth of anaesthesia monitors. Best Pract Res Clin Anaesthesiol, 21:313- 325.
- Weiser, T., Regenbogen, S., Thompson, K., Haynes, A., Lipsitz, S., Berry, W., and Gawande, A. (2008). An estimation of the global volume of surgery: a modelling strategy based on available data. The Lancet, 372:139-144.
- Wiener, N. (1956). The theory of prediction, volume 1. McGraw-Hill, New York.
Paper Citation
in Harvard Style
Nicolaou N. and Georgiou J. (2013). Monitoring Depth of Hypnosis under Propofol General Anaesthesia - Granger Causality and Hidden Markov Models . In Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: BrainRehab, (NEUROTECHNIX 2013) ISBN 978-989-8565-80-8, pages 256-261. DOI: 10.5220/0004679402560261
in Bibtex Style
@conference{brainrehab13,
author={Nicoletta Nicolaou and Julius Georgiou},
title={Monitoring Depth of Hypnosis under Propofol General Anaesthesia - Granger Causality and Hidden Markov Models},
booktitle={Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: BrainRehab, (NEUROTECHNIX 2013)},
year={2013},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004679402560261},
isbn={978-989-8565-80-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Congress on Neurotechnology, Electronics and Informatics - Volume 1: BrainRehab, (NEUROTECHNIX 2013)
TI - Monitoring Depth of Hypnosis under Propofol General Anaesthesia - Granger Causality and Hidden Markov Models
SN - 978-989-8565-80-8
AU - Nicolaou N.
AU - Georgiou J.
PY - 2013
SP - 256
EP - 261
DO - 10.5220/0004679402560261