Abstract
It is described a concept of an algorithm of similar sequences of samples detection in groups of long biomedical time-processes. The concept is based on the properties of a similarity measure. The method is based on the operations of splitting the process into sections and/or subsections, assessment the similarities between selected pairs of sections and on collection of similar sections into similarity groups. Calculation costs reduction by selection of jointly admissible pairs of sections of the analyzed process is proposed. A possibility to extend the approach on streaming processes is shortly described. Basic points of the method are illustrated by numerical examples.
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Kulikowski, J.L. (2012). Multichannel Biomedical Signals Analysis Based on a Split-and-Collect Approach. In: Piętka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Lecture Notes in Computer Science(), vol 7339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31196-3_16
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DOI: https://doi.org/10.1007/978-3-642-31196-3_16
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