2015 journal article

Using Kalman Filtering to Predict Time-Varying Parameters in a Model Predicting Baroreflex Regulation During Head-Up Tilt

IEEE Transactions on Biomedical Engineering, 62(8), 1992–2000.

By: B. Matzuka n, J. Mehlsen*, H. Tran n & M. Olufsen n

author keywords: Baroreflex regulation; cardiovascular; DRAM; ensemble transform Kalman filter; head-up tilt; Kalman filtering; parameter estimation
MeSH headings : Algorithms; Baroreflex / physiology; Blood Pressure / physiology; Electrocardiography; Heart Rate / physiology; Humans; Male; Models, Cardiovascular; Posture / physiology; Signal Processing, Computer-Assisted
TL;DR: This study compares two methods predicting time-varying changes in cardiac contractility and vascular resistance during head-up tilt and shows that the ensemble transform Kalman filter (ETKF) has a significantly shorter computational time. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

2013 article

Application of the Unscented Kalman Filtering to Parameter Estimation


By: A. Attarian n, J. Batzel*, B. Matzuka n & H. Tran n

TL;DR: This chapter illustrates the application of one approach to deal with nonlinear model dynamics, the so-called unscented Kalman filter, and shows how some of the tools for model validation discussed in other chapters of this volume can be used to improve the estimation process. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2011 conference paper

Toward online, noninvasive, nonlinear assessment of cerebral autoregulation

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2410–2413.

By: M. Aoi n, B. Matzuka n & M. Olufsen n

MeSH headings : Blood Flow Velocity; Blood Pressure; Brain / physiology; Cerebral Arteries / physiology; Cerebrovascular Circulation / physiology; Diagnosis, Computer-Assisted / methods; Feedback, Physiological; Humans; Models, Cardiovascular; Nonlinear Dynamics; Online Systems
TL;DR: This simulation study uses the EnKF to estimate the parameters of a model of cerebral hemodynamics which predicts intracranial pressure and cerebral blood flow velocity, generated from real patient arterial blood pressure measurements. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

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