DocumentCode :
902376
Title :
Cardiac Output and Left Atrial Pressure Monitoring by Right Ventricular Pressure Waveform Analysis for Potential Implantable Device Application
Author :
Xu, Da ; Olivier, N. Bari ; Mukkamal, Ramakrishna
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Volume :
56
Issue :
9
fYear :
2009
Firstpage :
2335
Lastpage :
2339
Abstract :
A well-tested and safe implantable device is now available for long-term ambulatory monitoring of the right ventricular pressure (RVP) waveform of congestive heart failure patients. However, cardiac output (CO) and left atrial pressure (LAP) are more useful for assessing cardiac function and managing volume status. We developed a new technique to estimate relative CO change and LAP by long time interval analysis of the RVP waveform. To demonstrate feasibility, we performed four chronic canine experiments in which the RVP waveform and accurate reference measurements were simultaneously recorded during common hemodynamic interventions. The overall root-mean-squared-errors of the estimated relative CO change and LAP were 16.0% and 2.0 mmHg. For comparison, the corresponding errors for the previously proposed intra-beat RVP waveform analysis techniques were 21% and 160% higher. With further successful testing, the new technique may potentially be employed with an established implantable device for chronic monitoring of essential hemodynamic variables.
Keywords :
haemodynamics; patient monitoring; prosthetics; cardiac output monitoring; chronic monitoring; congestive heart failure patients; hemodynamic interventions; implantable device; left atrial pressure monitoring; right ventricular pressure waveform analysis; Arteries; Condition monitoring; Heart; Hemodynamics; Hospitals; Patient monitoring; Performance evaluation; Signal analysis; Signal processing; Testing; Chronic monitoring; hemodynamics; implantable device; signal processing; Animals; Cardiac Output; Dogs; Hemodynamics; Monitoring, Physiologic; Prostheses and Implants; Regression Analysis; Signal Processing, Computer-Assisted; Ultrasonography; Ventricular Function;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2009.2023329
Filename :
4957006
Link To Document :
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