The use of selected diagnostic parameters as a feedback modifying the ECG interpretation

The paper presents the principles and prototype implementation of adaptive wireless monitoring system using medical parameters as a feedback modifying the ECG interpretation process. The paper focuses on the decision-making procedures such as: optimization of patient description, resources availability prediction and assessment of diagnosis reliability. Human expert preferences as well as the data reliability factors were revised for the purpose of this implementation. The prototype limited-scale implementation was tested with use of 2751 one hour 12-leads ECG records. In that total, 857 signals were combined of a physiological and pathological parts representing one of 14 diseases most frequently observed in out-hospital patients. In 80,2% of the cases, the remotely modified software yielded results in the priority similar to the reference observed from the experts' survey.