Robust Control of Maintenance-Phase Anesthesia

• Type: Article in International Scientific Journal
• Date: 2014

Authors

Joao M Lemos (Author) Other; Daniela V Caiado (Author) Other; Bertinho A Costa (Author) Other; Luis A Paz (Author) Other; Teresa F Mendonca (Author) FCUP; Rui Rabico (Author) Other; Simao Esteves (Author) Other; Manuel Seabra (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: IEEE CONTROL SYSTEMS MAGAZINE

Vol. 34

Pages: 24-38

ISSN: 1066-033X

Indexing

ISI Web of Knowledge - 21 Citations

Scopus - 28 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-009-ZZJ

DOI: 10.1109/mcs.2014.2350564

Abstract (EN): In biomedical systems, feedback control can be applied whenever adequate sensors, actuators, and sufficiently accurate mathematical models are available. The key issue is the capacity of the control algorithm to tackle the large levels of uncertainty, both structured and unstructured, associated with patient dynamics. In the particular case of intravenous anesthesia considered here, manipulated variables are drug infusion rates, administered by syringe pumps, and the measured signal outputs are the levels of hypnosis or depth of anesthesia (DoA) and of neuromuscular blockade (NMB). Figure 1 provides an example of a loop closed for the control of NMB.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15