A new method for evaluation of cavitation near mechanical heart valves.
Evaluation of cavitation in vivo is often based on recordings of high-pass filtered random high-frequency pressure fluctuations. We hypothesized that cavitation signal components are more appropriately assessed by a new method for extraction of random signal components of the pressure signals. We investigated three different valve types and found a high correlation between the two methods (r2: 0.8806-0.9887). The new method showed that the cavitation signal could be extracted without a priori knowledge needed for setting the high-pass filter cut off frequency, nor did it introduce bandwidth limitation of the cavitation signal.
Johansen
Peter
P
Bioengineering Department, Penn State University, University Park, PA 16802, USA. peter.johansen@iekf.au.dk
Manning
Keefe B
KB
Tarbell
John M
JM
Fontaine
Arnold A
AA
Deutsch
Steven
S
Nygaard
Hans
H
D000465:Algorithms; D001795:Blood Pressure Determination / Q000295:instrumentation / Q000379:methods*; D019544:Equipment Failure Analysis; D006350:Heart Valve Prosthesis / Q000009:adverse effects*; D006801:Humans; D011475:Prosthesis Failure; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013923:Thromboembolism / Q000209:etiology* / Q000517:prevention & control*