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Computation time study in biomedical signal processing with empirical mode decomposition: The case of electrocardiogram

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dc.contributor.author Karagiannis, A en
dc.contributor.author Constantinou, P en
dc.date.accessioned 2014-03-01T02:47:19Z
dc.date.available 2014-03-01T02:47:19Z
dc.date.issued 2011 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/33071
dc.subject Biomedical signal processing en
dc.subject Computation Time Modeling en
dc.subject Electrocardiography en
dc.subject Empirical Mode Decomposition en
dc.subject.other A-priori estimates en
dc.subject.other Biomedical signal processing en
dc.subject.other Computation time en
dc.subject.other Computation Time Modeling en
dc.subject.other Empirical Mode Decomposition en
dc.subject.other Intrinsic mode functions en
dc.subject.other Number of iterations en
dc.subject.other Preprocessing techniques en
dc.subject.other Resource allocation and management en
dc.subject.other Signal processing technique en
dc.subject.other Single variable en
dc.subject.other Time scheduling en
dc.subject.other Digital signal processing en
dc.subject.other Electrocardiography en
dc.subject.other Embedded systems en
dc.subject.other Scheduling en
dc.subject.other Computer resource management en
dc.title Computation time study in biomedical signal processing with empirical mode decomposition: The case of electrocardiogram en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICDSP.2011.6004965 en
heal.identifier.secondary 6004965 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICDSP.2011.6004965 en
heal.publicationDate 2011 en
heal.abstract In this paper, a study of the Empirical Mode Decomposition (EMD) performance is presented in terms of computation time. Smart resource allocation and management in embedded systems are facilitated by signal processing techniques modeling for time scheduling of tasks. Empirical Mode Decomposition computation time is mainly determined by the number of iterations and the size of Intrinsic Mode Functions (IMF) set which are unknown at the beginning of the process. A metric is introduced to include these factors into a single variable of a linear model developed to a priori estimate method's computation time. In the same framework of Empirical Mode Decomposition computation time study the effects of noisy components and the application of preprocessing techniques are evaluated. © 2011 IEEE. en
heal.journalName 17th DSP 2011 International Conference on Digital Signal Processing, Proceedings en
dc.identifier.doi 10.1109/ICDSP.2011.6004965 en


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