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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
1997-5-12
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pubmed:abstractText |
A new spike discrimination procedure addressing the specific problem of spike superposition is described. The method, based on a shift-invariant wavelet transform and its amplitude-and-phase representation, has the advantage of both reducing the effect of noise present in the data and correcting the latency of specific components in a waveform. When spikes overlap and produce unknown patterns, the procedure extracts the constituent spikes and also estimates their exact time of occurrence. Fast implementation algorithms, having complexity of at most O (N log N), allow the use of the method in real-time applications.
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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 |
0010-4825
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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 |
9-18
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:9055042-Action Potentials,
pubmed-meshheading:9055042-Algorithms,
pubmed-meshheading:9055042-Animals,
pubmed-meshheading:9055042-Astacoidea,
pubmed-meshheading:9055042-Electroencephalography,
pubmed-meshheading:9055042-Electrophysiology,
pubmed-meshheading:9055042-Models, Biological,
pubmed-meshheading:9055042-Neurons
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pubmed:year |
1997
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pubmed:articleTitle |
Multi-unit spike discrimination using wavelet transforms.
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pubmed:affiliation |
Department of Neurosurgery, University of Texas-Houston Medical School 77030, USA.
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.
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