Total Mass TCI driven by parametric estimation
- Resource Type
- Conference
- Authors
- Silva, Margarida M.; Sousa, Claudia; Sebastiao, Raquel; Gama, Joao; Mendonca, Teresa; Rochak, Paula; Esteves, Simao
- Source
- 2009 17th Mediterranean Conference on Control and Automation Control and Automation, 2009. MED '09. 17th Mediterranean Conference on. :1149-1154 Jun, 2009
- Subject
- Computing and Processing
Robotics and Control Systems
Weight control
Drugs
Bayesian methods
Signal processing
Algorithm design and analysis
Steady-state
Control systems
Robust control
Uncertain systems
Neuromuscular
- Language
This paper presents the Total Mass Target Controlled Infusion algorithm. The system comprises an On Line tuned Algorithm for Recovery Detection (OLARD) after an initial bolus administration and a Bayesian identification method for parametric estimation based on sparse measurements of the accessible signal. To design the drug dosage profile, two algorithms are here proposed. During the transient phase, an Input Variance Control (IVC) algorithm is used. It is based on the concept of TCI and aims to steer the drug effect to a predefined target value within an a priori fixed interval of time. After the steady state phase is reached the drug dose regimen is controlled by a Total Mass Control (TMC) algorithm. The mass control law for compartmental systems is robust even in the presence of parameter uncertainties. The whole system feasibility has been evaluated for the case of Neuromuscular Blockade (NMB) level and was tested both in simulation and in real cases.