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...
Main Authors: | Chen, Zhe (Contributor), Purdon, Patrick Lee (Contributor), Brown, Emery N. (Contributor), Barbieri, Riccardo (Contributor) |
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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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Subjects: | |
Online Access: | Get fulltext |
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