Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

Abstract:

On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Keywords

Real-time Systems - Intelligent Patient Monitoring - Signal Interpretation

• REFERENCES

• 1 Forbus KE. Qualitative Process Theory . (Ph.D. Diss) Cambridge MA: Massachusetts Institute of Technology; 1984
• 2 Uckun S, Dawant BM. Qualitative modeling as a paradigm for diagnosis and prediction in critical care environments. Artif Intell Med 1992; 04: 127-44.
• 3 Uckun S, Dawant BM, Lindstrom P. Model-based diagnosis in intensive care monitoring: the YAQ approach. Artif Intell Med 1993; 05: 31-48.