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Innovation projects

Innovation projects. Research group: Modeling Measurements and signal analysis (M2ESA) Area of operation : Customized statistical methodology development and data analysis. Industrial research projects. Finished projects

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Innovation projects

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  1. Innovation projects Research group: Modeling Measurements and signal analysis (M2ESA) Area of operation : Customized statistical methodology development and data analysis

  2. Industrial research projects Finished projects • 2009-2011: Manifold regression techniques to model historical water temperatures • Calmars network (CALcareousMARineSkeletons as recorders of global climate changes) • 2010-2013: System identification based on finite and short data record lengths for biomedical applications • Flemish research foundation • 2010-2013: Self-Calibration of Oscillometric Blood Pressure Monitors • Company: Contec (Taiwan) • 2012-2013: Alternatives to the histogram studied from a Measurement Perspective • Company Agilent (USA) and IEEE Instrumentation and Measurement Society (USA) • 2013-2014: Customized alternative to an ANOVA analysis • Company WTCB (Scientific and technical support to the builder’s union - BE) Current projects • 2013-2016: Generic modeling framework for the processing of biomedical measurements: fractional dynamics • Flemish research foundation • 2013-2016: Cognitive radios for nuclear power plants • Company Bel-V/FANC (BE) • 2014-2015: Real-time multi-domain analysis of highly dynamic wideband signals • Company Keysight Technologies (USA)

  3. Manifold regression techniques to model historical water temperatures We developed a one-dimensional manifold (a snake-like model) mapping various chemical elements to the water temperature. Publications BauwensMaité, HenrikOhlsson, Kurt Barbé, VeerleBeelaerts, Frank Dehairs, and Johan Schoukens, A nonlinear multi-proxy model based on manifold learning to reconstruct water temperature from high resolution trace element profiles in biogenic carbonates, Geoscientific Model Development, vol. 3, no. 2, pp. 653-667, 2010. BauwensMaité, HenrikOhlsson, Kurt Barbé, VeerleBeelaerts, Frank Dehairs and Johan Schoukens, On Climate Reconstruction using Bivalves: Three Methods to Interpret the Chemical Signature of a Shell, Computer Methods and Programs in Biomedicine, vol. 104, no. 2, pp. 104-111, 2011.

  4. System identification based on finite and short data record lengths for biomedical applications We revisit brain imaging (fMRI) particularly for MS patients such that the true data properties are taken into account. We developed new statistical tests for signal detection and a physiological model to track oxygen consumption. Publications Lauwers Lieve, Kurt Barbé, Wendy Van Moer and Rik Pintelon, Analyzing Rice distributed functional MRI data: a Bayesian approach, IOP Journal of Measurement Science and Technology, vol. 21, no. 11, 2010. Barbé Kurt, Wendy Van Moer and Lieve Lauwers, Functional Magnetic Resonance Imaging: an improved short record signal model, IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 5, pp. 1724-1731, 2011. Barbé Kurt, Wendy Van Moer and Guy Nagels, Fractional order time series models for extracting the haemodynamic response from functional Magnetic Resonance Imaging data, IEEE Transactions on Biomedical Engineering, vol. 59, no. 8, pp. 2264 – 2272, 2012.

  5. Self-Calibration of Oscillometric Blood Pressure Monitors We extended a classical cardiovascular model to a nonlinear model which is able to correct commercial oscillometric devices such that hypo- and hypertension can be detected Publications Barbé Kurt, Wendy Van Moer and Lieve Lauwers, Oscillometric Blood Pressure Measurements: a Signal Analysis, IOP Journal of Physics: Conference Series, vol. 238, no. 1, 2010. Van Moer Wendy, Kurt Barbé, Danny Schoors and Lieve Lauwers, Linearizingoscillometric blood pressure measurements: (non)sense?, IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 4, pp. 1267-1275, 2011 Barbé Kurt, Wendy Van Moer and Danny Schoors, Analyzing the Windkessel model as a potential candidate for calibrating oscillometric blood pressure measurements, IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 2, pp. 411-418, 2012. (AWARDED with IEEE ANDI CHI BEST P’APER AWARD) José Antonio de la O Serna, Wendy Van Moer and Kurt Barbé, Using alternating Kalmanfiltering to analyze oscillometric blood pressure waveforms, IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 10, pp. 2621-2628, 2013. Barbé Kurt, YuriyKurylyak and Francesco Lamonaca, Logistic ordinal regression for the calibration of oscillometric blood pressure monitors, Biomedical Signal Processing and Control, Vol. 11, pp. 89-96, May 2014.

  6. Alternatives to the histogram studied from a Measurement Perspective For existing measurement tools of Agilent, we studied possibilities to include known alternatives in these tools. We analyzed the advantages and disadvantages to propose a novel compromise. Publications Barbé Kurt, Lee Gonzales Fuentes, Lee Barford, and Lieve Lauwers, A guaranteed blind and automatic probability density estimation of raw Measurements, IEEE Transactions on Instrumentation and Measurement, To appear in 2014. Lee Gonzales-Fuentes, Kurt Barbé, Lee Barford, Lieve Lauwers, and Lieven Phillips, A qualitative study of probability density visualization techniques in measurements, Measurement, To appear 2015.

  7. What do we offer? • Objective and rigorous study • We analyze the state-of-the-art in which we explore different solutions • Propose a tailored solution in which your company’s expert knowledge is taken into account.

  8. What do we charge? • Small study quantified in “hours/days” • 125 euro/hour • Medium or large studies quantified in months with a minimum of 6 months • 60 000 euro/ annual • Remarks: • Note that all charges are increased by 17% overhead charges • Charges are VAT exclusive • Charges cover staffing, expenses and possible publication costs • Research contracts are co-signed with an additional IP-agreement

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