Measuring human heart muscle viability using myocardial...

Surgery – Diagnostic testing – Measuring electrical impedance or conductance of body portion

Reexamination Certificate

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Reexamination Certificate

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07657309

ABSTRACT:
A method for detecting a quantitative measure of a physiologic state of a human myocardium or coronary artery. Implementations of the method detect the extent of change of myocardial electrical impedance from a mean baseline value to provide diagnosis of the extent of ischemia, stenosis, tissue rejection, and reperfusion and the effectiveness of cardioplegia and ischemia pre-conditioning as well as the general effectiveness of coronary bypass surgery as measured by post-operative reperfusion. Electrodes are attached to the myocardium, baseline measurements of the mean myocardial electrical impedance are stored and the variance of the myocardial electrical impedance and a baseline value of mean myocardial electrical impedance are computed from the baseline measurements and stored. Mean myocardial electrical impedance values are periodically measured between each electrode pair over an interval of time and stored. After the mean myocardial electrical impedance changes from the computed baseline value by at least the measured variance, the extent of change in the myocardial physiologic state is diagnosed as a continuous, smooth, function of the extent of change, or rate of change, of the periodically measured myocardial electrical impedance from the baseline value.

REFERENCES:
patent: 5454377 (1995-10-01), Dzwonczyk et al.
patent: 5592941 (1997-01-01), McMorrow
patent: 5767117 (1998-06-01), Moskowitz
patent: 6731978 (2004-05-01), Olson et al.
“An Evaluation of a New Two-Electrode Myocardial Electrical Impedance Monitor for Detecting Myocardial Ischemia”, Anesth Analg 2001, 92:12-8.
“Use of Myocardial Electrical Impedance to Assess the Efficacy of Preconditioning,” CL del Rio et al. Computers in Cardiology 2002; 29:489-492.
“Myocardial Electrical Impedance Response to Ischemia and Reperfusion in Humans,” R Dzwonczyk et al. Computers in Cardiology 2002; 29:541-543.

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