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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1989-10-23
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pubmed:abstractText |
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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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Jan
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pubmed:issn |
0140-0118
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
27
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
47-56
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading | |
pubmed:year |
1989
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pubmed:articleTitle |
Algorithm for data reduction and automatic analysis of intestinal motility tracings and other smooth biological signals.
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pubmed:publicationType |
Journal Article
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