Abstract
An algorithm is presented for the processing of smooth biological signals with an important implicit data reduction. It is a solid basis for an automatic analysis of these signals. The algorithm is based on the approximation of the signals with a linear combination of cubic B-splines. Depending on the parameters, a data reduction of between 8: 1 and 12: 1 can be achieved. The most important differences from conventional biological signal processing methods are the representation of the signal by the coefficients of the linear combination instead of a series of samples and the analysis by calculations of the time of the appearance of patterns instead of iterative searching. The approximation and analysis of long-lasting multichannel signals can be performed online with a modern microprocessor. Approximating the signal with a linear combination of cubic B-splines with equally spaced knots, according to the linear least-squares criterion gives the desired data reduction and an elegant way to perform an automatic analysis. A window calculation scheme makes it possible to handle very long signals online.
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Tijskens, G., Janssens, J., Vantrappen, G. et al. Algorithm for data reduction and automatic analysis of intestinal motility tracings and other smooth biological signals. Med. Biol. Eng. Comput. 27, 47–56 (1989). https://doi.org/10.1007/BF02442169
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DOI: https://doi.org/10.1007/BF02442169