CHARBONNIER
Sylvie
Maître de conférences UJF
Publications

International journals :


1.              O. Savin, J. Baroth C. Badina, S. Charbonnier, C. Bérenguer Damage due to start-stop cycles of turbine runners under high-cycle fatigue, International Journal of Fatigue, Volume 153, December 2021, 106458


2.              Gaël Vila, Christelle Godin, Sylvie Charbonnier, Aurélie Campagne. Real-Time Quality Index to Control Data Loss in Real-Life Cardiac Monitoring Applications. Sensors, MDPI, 2021, 21 (16), pp.5357. ff10.3390/s21165357ff. ffhal-03318090


3.              Usama Aziz, SylvieCharbonnier, Christophe Berenguer, Alexis Lebranchu, Frederic Prevost Critical comparison of power-based wind turbine fault-detection methods using a realistic framework for SCADA data simulation Renewable and sustainable energy reviews, vol. 144, 2021


4.              Gaël Vila, Christelle Godin, Sylvie Charbonnier, Oumayma Sakri, Etienne Labyt and Aurélie Campagne, “Physiological response to acute stress against confounding factors: a white-box research method Biomedical Physics & Engineering Express, Volume 5, 2019 DOI : 10.1088/2057-1976/ab360e


5.              Gaël Vila, Christelle Godin,Oumayma Sakri, Etienne Labyt, Audrey Vidal, Sylvie Charbonnier, Simon Ollander and Aurélie Campagne “Real-Time Monitoring of Passenger’s Psychological Stress,” Future Internet, vol. 11, no. 5, p. 102, May 2019.


6.              A. Lebranchu, S. Charbonnier, C. Bérenguer, F. Prévost A Combined Mono- and Multi-Turbine Approach for Fault Indicator Synthesis and Wind Turbine Monitoring Using SCADA Data, ISA Transactions, Volume 87, April 2019, Pages 272-281, https://doi.org/10.1016/j.isatra.2018.11.041


7.              Raphaëlle N. Roy, Stéphane Bonnet, Sylvie Charbonnier, Aurélie Campagne Efficient workload classification based on ignored auditory probes: A proof of concept , Frontiers in Human Neuroscience, http://dx.doi.org/10.3389/fnhum.2016.00519, 13 October 2016


8.              Roy, R.; Charbonnier, S.; Campagne, A.; Bonnet, S. Efficient mental workload estimation using task-independent EEG features Journal of Neural Engineering, Journal of Neural Engineering, Volume 13, Number 2, 2016


9.              Charbonnier S., Roy R., Bonnet S., Campagne A. EEG index for control operators' mental fatigue monitoring using interactions between brain regions, Expert Systems With Applications, Volume 52, 15 June 2016, Pages 91–98, 2016


10.            Charbonnier S., Bouchair N., Gayet P. Fault template extraction to assist operators during industrial alarm floods, Engineering Applications of Artificial Intelligence, Volume 50, Pages 32–44, 2016


11.            Charbonnier S., Bouchair N., Gayet P. A weighted dissimilarity index to isolate faults during alarm floods, Control Engineering Pratice, Volume 45, Pages 110–122, 2015


12.            Roy R., Charbonnier S., Bonnet S., Eye blink characterization from frontal EEG electrodes using source separation and pattern recognition algorithms Biomedical signal processing and control, Biomedical Signal Processing and Control , vol. 14, pp. 256-264, 2014 DOI information: 10.1016/j.bspc.2014.08.007


13.            A. Phinyomark, F. Quaine, S. Charbonnier, C. Serviere, F. Tarpin-Bernard, Y.Laurillau “Feature extraction of the first difference of EMG time series for EMG pattern recognition” Computer Methods and Programs in Biomedicine, Computer Methods and Programs in Biomedicine, Volume 117, Issue 2, November 2014, Pages 247–256


14.            A. Phinyomark, F. Quaine, S. Charbonnier, C. Serviere, F. Tarpin-Bernard, Y.Laurillau EMG feature evaluation for improving myoelectric pattern recognition robustness, Expert systems with applications, Volume 40, Issue 12, 15 September 2013, Pages 4832–4840


15.            A. Phinyomark, F. Quaine, S. Charbonnier, C. Serviere, F. Tarpin-Bernard, Y.Laurillau A Feasibility Study on the Use of Anthropometric Variables to Make Muscle-Computer Interface More Practical, Engineering Applications of Artificial Intelligence, Volume 26, n°7, pp. 1681-1688, 2013


16.            A. Picot, S. Charbonnier, A. Caplier « Using retina modeling to characterize blinking: comparison between EOG and video analysis”, Machine Vision and Applications, Volume 23, Issue 6, Page 1195-1208, 2012


17.            Charbonnier S., Portet F. A self-tuning adaptive trend extraction method for process monitoring and diagnosis, Journal of Process Control vol. 22 , pp. 1127-1138, 2012


18.            A. Picot, S. Charbonnier, A. Caplier “On-line detection of drowsiness using brain and visual information”, IEEE transactions on Systems, Man and Cybernetics, Part A, vol. 42, n°3, pp. 764-776, 2012


19.            S. Charbonnier, L. Zoubek, S. Lesecq, F. Chapotot “Self evaluated automatic classifier as a decision-support tool for sleep/wake staging”, Computers in Biology and Medicine, vol.41 , pp, 380-389, 2011


20.            S. Charbonnier, S. Gentil “On-line adaptive trend extraction of multiple physiological signals for alarm filtering in Intensive Care Units “  International Journal of Adaptive Control and Signal Processing, vol. 24, n° 5, pp 382-408, 2010


21.            S. Lesecq, S. Charbonnier  “Signal processing for monitoring and diagnosis : medical applications” International Journal of Adaptive Control and Signal Processing, vol. 24, n° 5, pp 343-345, 2010


22.            L. Zoubek , S. Charbonnier, S. Lesecq, A. Buguet, F. Chapotot  « Feature selection for sleep/wake stages classification using data driven methods », Biomedical Signal Processing and Control , vol.2, n°3, pp.171-179, 2007


23.            S. Charbonnier, S. Gentil “A trend-based alarm system to improve patient monitoring in Intensive Care Units”,  Control Engineering Practice, volume 15, n° 9, pp. 1039-1050, 2007.


24.            S. Charbonnier “On Line Extraction of Temporal Episodes from ICU High-Frequency Data: a visual support for signal interpretation” Computer Methods and Programs in Biomedicine, 78, 115-132, 05


25.            S. Charbonnier, C. Garcia-Beltan, C. Cadet, S. Gentil  "Trends extraction and analysis for complex system monitoring and decision support" Engineering Applications of Artificial Intelligence Vol 18, n°1, pp 21-36, 05


26.            Charbonnier S. , Becq G. , Biot L.“On line segmentation algorithm for continuously monitored data in Intensive Care Units” IEEE Transactions on Biomedical Engineering, Vol. 51, n°3, pp.484-492, 2004.


27.            Charbonnier S., Galichet S., Mauris G., Siché JP "Statistical and fuzzy models of ambulatory systolic blood pressure for hypertension diagnosis" IEEE Transactions on Instrumentation and Measurement Vol. 49, n° 5, Oct. 2000, pp. 998-1003


28.            Charbonnier S., Siché JP, Mallion JM "Toward a portable blood pressure recorder device equipped with accelerometers" Medical Engineering and Physics, vol. 21, pp. 343-352, 99

29.            Charbonnier S., Chéruy A." Estimation and control strategies for a lipase production process" Control Engineering Practice, vol. 4, n° 11, 1996

30.            Montesinos J.L., Charbonnier S., Lafuente J., Gordillo M.A., Valero F., Solà C., Chéruy A., "Structured modelling and state estimation in a fermentation process : lipase production by Candida Rugosa" Biotechnology and Bioengineering, vol. 48, pp.573-584, 1995


31.            Graindorge P., Charbonnier S., Magnin J.P., Mauvy C., Chéruy A., "A software sensor of biological activity based on a redox probe for the control of Thiobacillus Ferrooxydans cultures" Journal of Biotechnology, vol. 35, pp. 87-96, 1994


 

Patents:

1.              De Foras E., Caritu Y., Sprinsky N., Godin C., Charbonnier S. « Gesture recognition system and method » PCT/EP2010/064501, déposé le 29/09/2010


2.                   Roy R., Bonnet S., Charbonnier S, « METHOD, SYSTEM AND COMPUTER PROGRAM FOR THE DETECTION AND CHARACTERIZATION OF EYE BLINKS BY ELECTROENCEPHALOGRAPHY, déposé le 26/09/2013, n° 13 59288


3.                   Gael Vila, Christelle Godin, Aurélie Campagne, Sylvie Charbonnier. « Method for determining the stress state of a person, déposé le 13/07/2018, Patent n° DD18726SP, US Patent n° 20200015729


4.                   Gael Vila, Christelle Godin, Aurélie Campagne, Sylvie Charbonnier. Method for estimating the quality of an instantaneous heart rate signal . Déposé,le 0/07/2019, Patent n° : DD19715S. 2019, US Patent n° 20210007674

 

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal