Adaptive Filtering Algorithms Electrocardiogram High Time Resolution Part I. Background Information and Analysis Approach to Solving the Proble
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Abstract
Purpose: An analysis and development of approaches to the problem of ECG adaptive filtering combined with detection and
measurement of parameters and characteristics of ECG fragments aimed at increasing a level and quality of diagnostics. Results: Based
on the analysis of the problem of adaptive filtering using ECG fragmented structure there has been developed an approach and a method of synthesis of adaptive algorithms for ECG measurements designed for implementing in modern analogue-digital microprocessor structures. The method is based on the principle of synthesis of linear compositional operators with adjustable parameters depending on dynamics of ECG fragments. Due to this fact, given high temporal resolution of analog-digital conversion in interference conditions there has been provided ECG measurement with controlled accuracy. In fact, interference characteristics are independent of either a measuring cycle or a fragment of an ECG, and a degree of ECG distortion due to interference varies differently depending on a type of an ECG fragment. Improving quality of digital filtering and ECG measurement can be achieved by changing parameters of a compositional operator in accordance with an adaptive algorithm in real time scale adjusting a filtering operator to a current ECG fragment. Therefore, there has been proposed synthesis of such an operator which parameters can be adjusted depending on a current ECG fragment. Practical relevance: Application of the proposed method and the algorithm fragmented filtering and high time resolution ECG measurements in modern microprocessor analog-digital electrocardiographs will improve accuracy of ECG measurement and thereby will enhance quality of solving the problem of diagnostics automation according to electrophysiological parameters.
