Abstract
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.
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Augustyniak, P. (2007). Validation of Automatic ECG Processing Management in Adaptive Distributed Surveillance System. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_72
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DOI: https://doi.org/10.1007/978-3-540-75175-5_72
Publisher Name: Springer, Berlin, Heidelberg
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