The optimal method of data compression in medical monitoring systems
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Abstract
The compression algorithm of one-dimensional signal based on a selection of real-time points is de-veloped. The key points are the extremes, and the point of maximum curvature of the function (signal). The keypoints selection specified their diagnostic value and characteristics of biomedical signals. The affectivity of the proposed algorithm is evaluated on the example of PPG signal compression. To restore the signal approximation method is used. The key points are divided biomedical signal into seven elements that the reduction is approximated by a linear and trigonometric functions. The expressions to the interpolation is written. The estimation of the maximum error of the algorithm shown in the time (less than 5.2%) and the frequency (less than 3,7%) areas that confirms the possibility of applying the algorithm for time and amplitude analysis, and for a spectral analysis of the one-dimensional biomedical signal.
References 5, figures 9, tables 1.
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