Detection and evaluation of events in EEG dynamics in post-surgery patients with physiological-based mathematical models

As part of the new directions for vision and mission of Europe, patient well-being and healthcare become core features of a modern and prosperous society. That is, healthcare costs are optimized towards patient benefit and sideways effects such as cost-related reduction in medication, in frequency of post-operatory interventions, in recovery times and in comorbidity risk. In this paper, we address the incidence of events related to stroke, epileptic seizures and tools to possibly predict their presence from Electroencephalography (EEG) signal acquired in post-surgery patients. Wavelet analysis and spectrogram indicate graphically changes in the energy content of the EEG signal. Physiologically based neuronal dynamic pathway is used to derive fractional order impedance models. Nonlinear least squares identification technique is used to identify model parameters, with results suggesting parameter redundancy. There is a significant difference in model parameter values between EEG signal with/-out events

Simplified Fractional Order Controller Design Algorithm

Classical fractional order controller tuning techniques usually establish the parameters of the controller by solving a system of nonlinear equations resulted from the frequency domain specifications like phase margin, gain crossover frequency, iso-damping property, robustness to uncertainty, etc. In the present paper a novel fractional order generalized optimum method for controller design using frequency domain is presented. The tuning rules are inspired from the symmetrical optimum principles of Kessler. In the first part of the paper are presented the generalized tuning rules of this method. Introducing the fractional order, one more degree of freedom is obtained in design, offering solution for practically any desired closed-loop performance measures. The proposed method has the advantage that takes into account both robustness aspects and desired closed-loop characteristics, using simple tuning-friendly equations. It can be applied to a wide range of process models, from integer order models to fractional order models. Simulation results are given to highlight these advantages

The authenticity control of vegetable oils using the total sterol profile

The aim of this study wa s to develop a rapid and convenient chromatographic method for authenticity control of vegetable oils using the total sterol profile determined by gaschromatography (GC) with flame ionization detector (FID). Two pure oils, rapeseed and olive oil, processed by minimal technologies (cold pressing) and an adulterated olive oil with 30 % of rapeseed oil were used as sampl e matrices in the method development. The rapeseed oil can be identified by the presence o f brassicasterol, which is characteristic mainly for this oil. In olive oil, this sterol is absent. The concentrations of (^-sitosterol, campesterol and brassicasterol as well their ratios can identify the adulteration of virgin olive oil with rapeseed oil. High ratios Psitosterol/ campesterol are specific to virgin olive oil 27.5) while these ratios are low (~2) for rapeseed oil or adulterated olive oil. Also the ratio campesterol / brassicasterol can indicate the adulteration. This ratio is low (-2 ) for rapeseed oil and higher (~ 4.8) in extra virgin olive oil. Adulteration of olive oil with rapeseed oil determine the decrease of this ratio. In this work we report three ways to identify' the quality and authenticity of olive oil. We found as well markers which indicate if the olive oil wa s adulterated with rapeseed oil

Fractional order control for the temperature loop in a chemical reactor

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Sensors for Cryogenic Isotope-Separation Column

Cryogenic isotope-separation equipment is special, encountered in relative few research centers in the world. In addition to the main equipment used in the operation column, a broad range of measuring devices and actuators are involved in the technological process. The proper sensors and transducers exhibit special features; therefore, common, industrial versions cannot be used. Three types of original sensors with electronic adapters are presented in the present study: a sensor for the liquid carbon monoxide level in the boiler, a sensor for the liquid nitrogen level in the condenser and a sensor for the electrical power dissipated in the boiler. The integration of these sensors in the pilot equipment is needed for comprehensive system monitoring and control. The sensors were tested on the experimental equipment from the National Institute for Research and Development of Isotopic and Molecular Technologies from Cluj-Napoca

HIL real-time simulation of a digital fractional order PI controller for time delay processes

Fractional order control has been used extensively in the last decade for controlling various types of processes. Several design approaches have been proposed so far, the closed loop performance results obtained being tested using different simulation conditions. The hardware-in-the-loop (HIL) real-time simulation offers a more reliable method for evaluating the closed loop performance of such controllers prior to their actual implementation on the real processes, such HIL simulation being highly suitable especially for complex, hazardous processes in which human and equipment errors should be avoided. The present paper proposes a hardware-in-the-loop real-time simulation setting for a digital fractional order PI controller in a Smith Predictor structure. The designed control strategy and fractional order controller is then tested under nominal and uncertain conditions, considering a time delay process