Welcome to Python Anesthesia Simulator’s documentation!

The Python Anesthesia Simulator (PAS) models the effect of drugs on physiological variables during total intravenous anesthesia. It is particularly dedicated to the control community, to be used as a benchmark for the design of multidrug controllers. The available drugs are propofol, remifentanil, norepinephrine, and atracurium the outputs are the Bispectral Index (BIS), tolerance to laryngoscopy (TOL), loss of consciousness (LOC), mean arterial pressure (MAP), cardiac output (CO), total peripheral resistence (TPR), stroke volume (SV), heart rate (HR) and train of four (TOF). PAS includes different well-known models along with their uncertainties to simulate inter-patient variability. Blood loss can also be simulated to assess the controller’s performance in a shock scenario. Finally, PAS includes disturbance profiles calibrated on clinical data to facilitate the evaluation of the controller’s performances in realistic condition.

If you are using PAS for your research, please cite the previous papers: https://joss.theoj.org/papers/10.21105/joss.05480

Contents:

• Introduction
  • Installation
  • Overview of the Simulator Features
  • References
• Modelling Anesthesia
  • 1. Pharmacokinetics
  • 2. Pharmacodynamics
  • 3. Non-linear interactions
  • 4. Disturbance Modelling and Identification
  • 5. Noise identification
• API Reference
  • Simulator
  • Patient
  • PK Models
  • PD Models
  • TCI Controller
  • Disturbances
  • Metrics
  • Alarms
• Python Examples
  • 1. Blood loss simulation
  • 2. VitalDB model check
  • 3. PID design pipeline
  • 4. TCI simulation
  • 5. PID control of atracurium
• Usage with MATLAB
  • 1. Getting Started
  • 2. Open loop simulation
  • 3. Closed-Loop simulation
  • 4. Open-loop simulation in Simulink
  • 5. Closed-Loop Simulation in Simulink
• Contributing to Python Anesthesia Simulator
  • Introduction
  • Ground Rules
  • Conventions