Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Dana Copot"'
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5556 (2024)
In the realm of anesthetic management during surgical procedures, the reliable estimation of mean arterial pressure (MAP) is critical for ensuring patient safety and optimizing drug administration. This paper investigates the determination of the opt
Externí odkaz:
https://doaj.org/article/f370d687cb864097aa11ee5cf45d363d
Autor:
Clara M. Ionescu, Dana Copot, Erhan Yumuk, Robin De Keyser, Cristina Muresan, Isabela Roxana Birs, Ghada Ben Othman, Hamed Farbakhsh, Amani R. Ynineb, Martine Neckebroek
Publikováno v:
Sensors, Vol 24, Iss 7, p 2031 (2024)
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 st
Externí odkaz:
https://doaj.org/article/cb56dd2fe8224d7a9752a62d3e93c3ee
Publikováno v:
Journal of Advanced Research, Vol 32, Iss , Pp 61-71 (2021)
Introduction: As pulmonary dysfunctions are prospective factors for developing cancer, efforts are needed to solve the limitations regarding applications in lung cancer. Fractional order respiratory impedance models can be indicative of lung cancer d
Externí odkaz:
https://doaj.org/article/bac2302c9e9b4c2bad2d8271961b94df
Autor:
Dana Copot, Clara Ionescu
Publikováno v:
Journal of Advanced Research, Vol 32, Iss , Pp 27-36 (2021)
Introduction: In long-term induced general anesthesia cases such as those uniquely defined by the ongoing Covid-19 pandemic context, the clearance of hypnotic and analgesic drugs from the body follows anomalous diffusion with afferent drug trapping a
Externí odkaz:
https://doaj.org/article/6785206d565745e7ac2a7b67811d646a
Publikováno v:
IEEE Access, Vol 9, Pp 8680-8694 (2021)
We are witnessing a notable rise in the translational use of information technology and control systems engineering tools in clinical practice. This paper empowers the computer based drug dosing optimization of general anesthesia management by means
Externí odkaz:
https://doaj.org/article/f25158964c264519bb5ed0acabb77cad
Publikováno v:
IEEE Access, Vol 8, Pp 206264-206279 (2020)
Automation empowers self-sustainable adaptive processes and personalized services in many industries. The implementation of the integrated healthcare paradigm built on Health 4.0 is expected to transform any area in medicine due to the lightning-spee
Externí odkaz:
https://doaj.org/article/a7e3d11e50aa40b6a49ed5552454aab6
Autor:
Clara Ionescu, Ricardo Alfredo Cajo Diaz, Shiquan Zhao, Mihaela Ghita, Maria Ghita, Dana Copot
Publikováno v:
IEEE Access, Vol 8, Pp 128152-128166 (2020)
Cyber physical systems consist of heterogeneous elements with multiple dynamic features. Consequently, multiple objectives in the optimality of the overall system may be relevant at various times or during certain context conditions. Low cost, effici
Externí odkaz:
https://doaj.org/article/624faf6eeffb4990a9eb755e5ef10d06
Autor:
Ricardo Alfredo Cajo Diaz, Mihaela Ghita, Dana Copot, Isabela Roxana Birs, Cristina Muresan, Clara Ionescu
Publikováno v:
IEEE Access, Vol 8, Pp 215550-215569 (2020)
Cyber-physical systems revolve around context awareness, empowering objective-oriented services, products and operations based on real data. Self-aware and self-control systems are core elements in the Industry 4.0 framework towards self-sustainable
Externí odkaz:
https://doaj.org/article/d8e7d3eb07b64088bf814701a12e74ca
Publikováno v:
Fractal and Fractional, Vol 6, Iss 4, p 224 (2022)
The presence of disturbances in practical control engineering applications is unavoidable. At the same time, they drive the closed-loop system’s response away from the desired behavior. For this reason, the attenuation of disturbance effects is a p
Externí odkaz:
https://doaj.org/article/c69863d138b0409f88681f3787c6e042
Publikováno v:
Journal of Clinical Medicine, Vol 11, Iss 4, p 1006 (2022)
Individual curves for tumor growth can be expressed as mathematical models. Herein we exploited a pharmacokinetic-pharmacodynamic (PKPD) model to accurately predict the lung growth curves when using data from a clinical study. Our analysis included 1
Externí odkaz:
https://doaj.org/article/c97712410c61450c96cc32121aa0d290