NDLI: Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone

Content Provider	IEEE Xplore Digital Library
Author	Charlton, P. Smith, J. Camporota, L. Beale, R. Alastruey, J.
Copyright Year	2014
Description	Author affiliation: Dept. of Biomed. Eng., King's Coll. London, London, UK (Charlton, P.; Alastruey, J.) \|\| Dept. of Critical Care Med., Guy's & St Thomas' NHS Found. Trust, London, UK (Smith, J.; Camporota, L.; Beale, R.)
Abstract	Algorithms for estimating cardiac output (CO) from the arterial blood pressure wave have been observed to be inaccurate during changes in vascular tone. Many such algorithms are based on the Windkessel model of the circulation. We investigated the optimal analytical approaches and assumptions that make up each algorithm during changes in vascular tone. Several analytical approaches and assumptions were evaluated on data from 15 critically ill patients by comparison with thermodilution measurements. We found that the most accurate algorithms assumed a constant compliance for the duration of the beat. They produced a percentage error of ±31% by maintaining the compliance and outflow terms in the Windkessel model. For any algorithm, the following assumptions gave highest accuracy: (i) outflow pressure into the microcirculation is zero; (ii) end of systole is identified using the second derivative of pressure. None of the tested algorithms reached the clinically acceptable accuracy of ±30%.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	3759
Ending Page	3762
File Size	917617
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944441
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Resistance Arterial blood pressure Mathematical model Monitoring Calibration Algorithm design and analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Estimating blood pressure using Windkessel model on photoplethysmogram

An improved artifact removal algorithm for continuous cardiac output and blood pressure recordings

Evaluation of monitoring cardiac output by long time interval analysis of a radial arterial blood pressure waveform using the MIMIC II database

Cardiac output and stroke volume estimation using a hybrid of three Windkessel models

Cardiac output monitoring by long time interval analysis of a radial arterial blood pressure waveform with correction for arterial compliance changes using pulse transit time

Monitoring of peripheral vascular condition using a log-linearized arterial viscoelastic index during endoscopic thoracic sympathectomy

Is pulse transit time a good indicator of blood pressure changes during short physical exercise in a young population?

Arterial blood pressure regulation following aorta clamping and declamping during surgery

Using the Changes in Hydrostatic Pressure and Pulse Transit Time to Measure Arterial Blood Pressure

Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone

Similar Documents

Estimating blood pressure using Windkessel model on photoplethysmogram

An improved artifact removal algorithm for continuous cardiac output and blood pressure recordings

Evaluation of monitoring cardiac output by long time interval analysis of a radial arterial blood pressure waveform using the MIMIC II database

Cardiac output and stroke volume estimation using a hybrid of three Windkessel models

Cardiac output monitoring by long time interval analysis of a radial arterial blood pressure waveform with correction for arterial compliance changes using pulse transit time

Monitoring of peripheral vascular condition using a log-linearized arterial viscoelastic index during endoscopic thoracic sympathectomy

Is pulse transit time a good indicator of blood pressure changes during short physical exercise in a young population?

Arterial blood pressure regulation following aorta clamping and declamping during surgery

Using the Changes in Hydrostatic Pressure and Pulse Transit Time to Measure Arterial Blood Pressure

Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone