Validation of Automatic ECG Processing Management in Adaptive Distributed Surveillance System

This paper presents the problem of diagnostic parameters quality control in the adaptive ECG interpretation system. The quality estimation is used for seamless adaptation of processing being a part of the optimization feedback. Therefore, quality control procedures - unlike in conventional systems - are embedded in the software. The proposed methodology is based on two principal concepts: diagnostic results priority depending on the patient status and the data convergence used as description of the adaptive system response to a transient in patient status. The paper includes an example of testing a surveillance network prototype with use of proposed parameters, demonstrating their high usability.