Search

Your search keyword '"Muresan, Cristina"' showing total 378 results
Start Over Author "Muresan, Cristina"
378 results on '"Muresan, Cristina"'

13. Fractional-Order Controller for Visual Servoing Systems

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

14. Fractional-Order Control for TITO Systems

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

15. Sliding-Mode Control for a Class of Robotic Arms

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

16. Simulators for Image-Based Control Architecture

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

17. Application of Fractional-Order Control on Real-Time Targets

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

18. Visual Servoing Systems

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

19. Introduction

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

20. Image Feature Extraction and Evaluation

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

21. Fractional-Order Control: General Aspects

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

23. Fractional-Order Modeling of the Depth of Analgesia as Reference Model for Control Purposes.

Author

Muresan, Cristina I., Hegedüs, Erwin T., Mihai, Marcian D., Othman, Ghada Ben, Birs, Isabela, Copot, Dana, Dulf, Eva Henrietta, De Keyser, Robin, Ionescu, Clara M., and Neckebroek, Martine

Subjects
*PAIN management, *GENERAL anesthesia, *DATABASES, *ANALGESIA, *PROOF of concept, *REMIFENTANIL
Abstract

Little research has been carried out in terms of modeling and control of analgesia. However, emerging new technology and recent prototypes paved the way for several ideas on pain modeling for control. Recently, such an idea has been proposed for measuring the Depth of Analgesia (DoA). In this paper, that solution is further exploited towards obtaining a novel fractional-order model and dedicated controller for DoA. First, clinical data from patients undergoing general anesthesia are used to determine a commensurate fractional-order model of the skin impedance at each sampling period. Second, we provide a proof of concept indicating that fractional order changes due to variations in the infused opioid drug (Remifentanil). Third, a fractional-order model for DoA is developed correlating the changes in the pain index (as the output signal) and the Remifentanil infusion rate (as the input signal). Standard optimization routines are used to estimate the parameters. A database of 19 real patients is used. Lastly, a preliminary fractional-order controller is designed and tested in simulation for the 19 patients. The closed-loop simulation results correspond to the expected clinical outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

24. Artificial Intelligence-Driven Prognosis of Respiratory Mechanics: Forecasting Tissue Hysteresivity Using Long Short-Term Memory and Continuous Sensor Data.

Author

Othman, Ghada Ben, Ynineb, Amani R., Yumuk, Erhan, Farbakhsh, Hamed, Muresan, Cristina, Birs, Isabela Roxana, De Raeve, Alexandra, Copot, Cosmin, Ionescu, Clara M., and Copot, Dana

Subjects
PULMONARY function tests, RESPIRATORY mechanics, ARTIFICIAL intelligence, RESPIRATORY organs, SYSTEM analysis, LUNGS
Abstract

Tissue hysteresivity is an important marker for determining the onset and progression of respiratory diseases, calculated from forced oscillation lung function test data. This study aims to reduce the number and duration of required measurements by combining multivariate data from various sensing devices. We propose using the Forced Oscillation Technique (FOT) lung function test in both a low-frequency prototype and the commercial RESMON device, combined with continuous monitoring from the Equivital (EQV) LifeMonitor and processed by artificial intelligence (AI) algorithms. While AI and deep learning have been employed in various aspects of respiratory system analysis, such as predicting lung tissue displacement and respiratory failure, the prediction or forecasting of tissue hysteresivity remains largely unexplored in the literature. In this work, the Long Short-Term Memory (LSTM) model is used in two ways: (1) to estimate the hysteresivity coefficient η using heart rate (HR) data collected continuously by the EQV sensor, and (2) to forecast η values by first predicting the heart rate from electrocardiogram (ECG) data. Our methodology involves a rigorous two-hour measurement protocol, with synchronized data collection from the EQV, FOT, and RESMON devices. Our results demonstrate that LSTM networks can accurately estimate the tissue hysteresivity parameter η , achieving an R 2 of 0.851 and a mean squared error (MSE) of 0.296 for estimation, and forecast η with an R 2 of 0.883 and an MSE of 0.528, while significantly reducing the number of required measurements by a factor of three (i.e., from ten to three) for the patient. We conclude that our novel approach minimizes patient effort by reducing the measurement time and the overall ambulatory time and costs while highlighting the potential of artificial intelligence methods in respiratory monitoring. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

26. Conclusions

Author

Copot, Cosmin, Ionescu, Clara Mihaela, Muresan, Cristina I., Grimble, Michael J., Series Editor, Ferrara, Antonella, Series Editor, Goodwin, Graham, Editorial Board Member, Harris, Thomas J., Editorial Board Member, Lee, Tong Heng, Editorial Board Member, Malik, Om P., Editorial Board Member, Man, Kim-Fung, Editorial Board Member, Olsson, Gustaf, Editorial Board Member, Ray, Asok, Editorial Board Member, Engell, Sebastian, Editorial Board Member, Yamamoto, Ikuo, Editorial Board Member, Copot, Cosmin, Ionescu, Clara Mihaela, and Muresan, Cristina I.

Published
2020
Full Text
View/download PDF

39. Development, Validation, and Comparison of a Novel Nociception/Anti-Nociception Monitor against Two Commercial Monitors in General Anesthesia.

Author

Ionescu, Clara M., Copot, Dana, Yumuk, Erhan, De Keyser, Robin, Muresan, Cristina, Birs, Isabela Roxana, Ben Othman, Ghada, Farbakhsh, Hamed, Ynineb, Amani R., and Neckebroek, Martine

Subjects
GENERAL anesthesia, TIME-domain analysis, INTRAVENOUS anesthesia, INTRAVENOUS anesthetics, HYPNOTICS, DRUG monitoring
Abstract

In this paper, we present the development and the validation of a novel index of nociception/anti-nociception (N/AN) based on skin impedance measurement in time and frequency domain with our prototype AnspecPro device. The primary objective of the study was to compare the Anspec-PRO device with two other commercial devices (Medasense, Medstorm). This comparison was designed to be conducted under the same conditions for the three devices. This was carried out during total intravenous anesthesia (TIVA) by investigating its outcomes related to noxious stimulus. In a carefully designed clinical protocol during general anesthesia from induction until emergence, we extract data for estimating individualized causal dynamic models between drug infusion and their monitored effect variables. Specifically, these are Propofol hypnotic drug to Bispectral index of hypnosis level and Remifentanil opioid drug to each of the three aforementioned devices. When compared, statistical analysis of the regions before and during the standardized stimulus shows consistent difference between regions for all devices and for all indices. These results suggest that the proposed methodology for data extraction and processing for AnspecPro delivers the same information as the two commercial devices. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

42. List of Contributors

Author

Birs, Isabela, primary, Copot, Dana, additional, Czakó, Bence, additional, Drexler, Dániel András, additional, Dumont, Guy A., additional, Eigner, György, additional, Ferenci, Tamás, additional, Ghita, Maria, additional, Ghita, Mihaela, additional, Ionescu, Clara M., additional, Kovács, Levente, additional, Latronico, Nicola, additional, Mendonça, Teresa, additional, Merigo, Luca, additional, Muresan, Cristina, additional, Padula, Fabrizio, additional, Paltenghi, Massimiliano, additional, Rocha, Paula, additional, Schiavo, Michele, additional, Silva, Jorge, additional, Soltesz, Kristian, additional, van Heusden, Klaske, additional, and Visioli, Antonio, additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results