Automated Drug Delivery in Anesthesia provides a full review of available tools and methods on the drug delivery of anesthesia, bridging the gap between academic development, research and clinical practice. The book takes an interdisciplinary approach, pulling information about tools developed in other disciplines such as mathematics, physics, biology and system engineering and applying them to drug delivery. The book's authors discuss the missing element of complete regulatory loop of anesthesia: the sensor and model for pain pathway assessment. This is the only book which focuses specifically on the delivery of anesthesia.
- Revisits the standard TCI anesthesia regulatory loop
- Provides complementary measurement devices and protocols for hypnosis, analgesia and neuromuscular blockade (the three components for anesthesia)
- Describes the link between existing and emerging tools
Introduction
An overview of computer-guided total intravenous anesthesia and monitoring
devicesdrug infusion control strategies and analgesia assessment in clinical
use and research
A non-Newtonian impedance measurement experimental framework: modeling and
control inside blood-like environmentsfractional-order modeling and control
of a targeted drug delivery prototype with impedance measurement
capabilities
A multiscale pathway paradigm for pain characterization
Models for control of intravenous anesthesia
Modeling and control of neuromuscular blockade level in general anesthesia
Computer-guided control of the complete anesthesia
Paradigm Optimization-based design of closed-loop control of anesthesia
Integrative cybermedical systems for computer-based drug delivery
Dr. Dana Copot is the holder of the prestigious Flanders Research Foundation postdoctoral fellowship at Ghent University (FWO-UGent). She received the bachelor and masters degree in chemical engineering in 2010 and 2012 respectively, from Gh. Asachi Technical University of Iasi, Romania. In 2018 she received her doctoral degree from Ghent University in the field of biomedical engineering. Her doctoral research includes developing models for characterizing properties in biological tissues.
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