A differential autoregressive modeling approach within a point process framework for non-stationary heartbeat intervals analysis

Modeling heartbeat variability remains a challenging signal-processing goal in the presence of highly non-stationary cardiovascular control dynamics. We propose a novel differential autoregressive modeling approach within a point process probability framework for analyzing R-R interval and blood pre...

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Bibliographic Details
Main Authors: Chen, Zhe (Contributor), Purdon, Patrick Lee (Contributor), Brown, Emery N. (Contributor), Barbieri, Riccardo (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2012-04-20T15:06:56Z.
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