Time-varying stroke volume using sonomicrometry with Direct Cardiac Compression (DCC)

Martinez-Coll, AA; Nguyen, HT; Zielinski, R; Huang, YF; Plekhanov, S; Hunyor, SN

Time-varying stroke volume using sonomicrometry with Direct Cardiac Compression (DCC)

Martinez-Coll, AA Nguyen, HT

Zielinski, R Huang, YF Plekhanov, S Hunyor, SN

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Publication Type:: Conference Proceeding
Citation:: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2002, 2 pp. 1567 - 1568
Issue Date:: 2002-12-01

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Field	Value	Language
dc.contributor.author	Martinez-Coll, AA	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Zielinski, R	en_US
dc.contributor.author	Huang, YF	en_US
dc.contributor.author	Plekhanov, S	en_US
dc.contributor.author	Hunyor, SN	en_US
dc.date.issued	2002-12-01	en_US
dc.identifier.citation	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2002, 2 pp. 1567 - 1568	en_US
dc.identifier.issn	0589-1019	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3001
dc.description.abstract	Implantable direct cardiac compression (DCC) systems such as our Heart Patch Pump can assist the failing heart without the risk of blood contact. To provide realtime, accurate support of pumping function, these devices need to assess hemodynamic variables such as cardiac output. For the Heart Patch Pump, we have based our control algorithm on time-varying stroke volume (SV(t)) estimates using sonomicrometer crystals placed in the heart. Multilinear regression was performed on 28 dimensions, during six different cardiac states. Then, six principal dimensions were identified as those with the greatest change during contraction. A strong correlation was maintained in all cardiac states when only the principal dimensions were used.	en_US
dc.relation.ispartof	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en_US
dc.title	Time-varying stroke volume using sonomicrometry with Direct Cardiac Compression (DCC)	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2	en_US
dc.location.activity	Houston, Texas, USA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

Implantable direct cardiac compression (DCC) systems such as our Heart Patch Pump can assist the failing heart without the risk of blood contact. To provide realtime, accurate support of pumping function, these devices need to assess hemodynamic variables such as cardiac output. For the Heart Patch Pump, we have based our control algorithm on time-varying stroke volume (SV(t)) estimates using sonomicrometer crystals placed in the heart. Multilinear regression was performed on 28 dimensions, during six different cardiac states. Then, six principal dimensions were identified as those with the greatest change during contraction. A strong correlation was maintained in all cardiac states when only the principal dimensions were used.

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http://hdl.handle.net/10453/3001