Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics

Assessment of Autonomic Control and Respiratory Sinus Arrhythmia Using Point Process Models of Human Heart Beat Dynamics

Tracking the autonomic control and respiratory sinus arrhythmia (RSA) from electrocardiogram and respiratory measurements is an important problem in cardiovascular control. We propose a point process adaptive filter algorithm based on an inverse Gaussian model to track heart beat intervals that inco...

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Bibliographic Details
Main Authors: Chen, Zhe, Brown, Emery N., Barbieri, Riccardo
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/51871
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-6166-448X

Internet

http://hdl.handle.net/1721.1/51871
https://orcid.org/0000-0003-2668-7819
https://orcid.org/0000-0002-6166-448X

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