Discrete Nonlinear Control of the Diagnostic Quality in Distributed Telemedical Systems

This paper addresses principles of discrete nonlinear control performed towards the diagnostic quality-based interpretive software optimization for cardiology-based monitoring system. Thanks to the pervasive access to wireless digital communication, distributed biosignal interpretation networks may not only optimally solve difficult medical cases, but also adapt the data acquisition, interpretation and transmission to the variable patient’s status and availability of technical resources. The adaptation is based on the innovative use of results from the automatic ECG analysis to the seamless remote modification of the interpreting software. This paper focuses on the static properties and control accuracy and dynamic properties of the ECG processing optimization. It provides also details on the automatic scoring of the performance of ECG interpretation procedures. Testing of the prototype, despite its limited scale, yields significant quantitative benefits and improvement of diagnostic quality.