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contributor authorJ. F. Gardner
contributor authorM. Ignatoski
contributor authorU. Tasch
contributor authorA. J. Snyder
contributor authorD. B. Geselowitz
date accessioned2017-05-08T23:40:45Z
date available2017-05-08T23:40:45Z
date copyrightMay, 1993
date issued1993
identifier issn0148-0731
identifier otherJBENDY-25897#187_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/111581
description abstractAn adaptive technique for the estimation of the time history of aortic pressure (from applied voltage and position feedback) has been designed, implemented, and bench tested using the Penn State Electric Ventricular Assist Device (EVAD). This method, known in the field of automatic control as a dynamic observer, utilizes gains which were determined using experimental data collected while the EVAD was running on a mock circulatory system. An adaptive scheme provides the observer with a method of changing its initial conditions on a stroke-by-stroke basis which improves observer performance. In both determining the feedback gains and developing the adaptation scheme, a range of beat rates and pressure loads was taken into account to yield satisfactory observer performance over a range of operating conditions. The observer was implemented, its performance was verified in vitro and results are reported. In the six experimental operating conditions, the beat rate ranged from 56-104 beats per minute (bpm) and the span of the mean systolic aortic pressure was 10.7-18.7 kPa (80–140 mmHg). For these cases, the mean deviation between the actual and estimated aortic pressure during the latter two-thirds of systole was 0.41 kPa (3.1 mmHg).
publisherThe American Society of Mechanical Engineers (ASME)
titleAortic Pressure Estimation With Electro-Mechanical Circulatory Assist Devices
typeJournal Paper
journal volume115
journal issue2
journal titleJournal of Biomechanical Engineering
identifier doi10.1115/1.2894120
journal fristpage187
journal lastpage194
identifier eissn1528-8951
keywordsPressure
keywordsFeedback
keywordsVentricular assist devices
keywordsElectric potential
keywordsAutomatic control
keywordsStress AND Cardiovascular system
treeJournal of Biomechanical Engineering:;1993:;volume( 115 ):;issue: 002
contenttypeFulltext


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