# US 2013/0158623 A1 · Method and Apparatus for Detecting Imminent Structural Failure of an Electrical Lead in an Implanted Cardiac Therapy Medical Device

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- Number: US 2013/0158623 A1
- Document ID: US20130158623A1
- Status: Published application
- Kind: A1
- Application number: 13/766,770
- Filed: 2013-02-13
- Published: 2013-06-20
- Earliest claimed: 2009-12-11
- Assignees: Kallis Technical Services
- Inventors: James M. Kallis
- Web page: https://patentgrep.com/patent/US20130158623A1

## CPC

- A61N 1/3706: {Pacemaker parameters (stimulation threshold A61N1/371)}
- A61N 1/371: {Capture, i.e. successful stimulation}
- A61N 2001/083: {Monitoring integrity of contacts, e.g. by impedance measurement}
- A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B)

## Abstract

A method and apparatus implementing the method, which is not dependent on monitoring the electrical impedance of the lead, detects imminent structural failure of an electrical lead in an implanted medical device, such as an implantable cardioverter-defibrillator (ICD) or a pacemaker. The approach is to monitor directly the mechanical load loss of the lead (a measure of the loss of structural integrity of the lead) rather than, as in the prior art, to infer it from the electrical impedance.

## Claims

### Claim 1

For use with a medical device to be implanted in a patient, a method for detecting imminent lead failure in the implanted medical device comprising the steps of:
(a) deriving an empirical formula by
(i) selecting samples of cardiac therapy medical device leads of the model number of the medical device from the production line;
(ii) subjecting the leads to destructive laboratory pull testing by
(α) pulling the leads and measuring the elongation (E) and the baseline mechanical load (LB) of the leads,
(β) growing flaws in the leads,
(γ) again pulling the flawed leads and measuring the elongation (E) and the baseline mechanical load (LB) of the flawed leads, thereby obtaining test results,
(iii) based upon the test results, evaluating the threshold mechanical load
(LT) and the threshold mechanical load loss (ΔLT=LB−LT) as a function of the elongation (E),
(iv) fitting the threshold test data to an empirical formula of the general form ΔLT=fT(E) to determine the best-fit function and the best-fit parameters,
(v) storing the empirical formula in the cardiac therapy medical device computer;
(b) for each serial number of a lead in an implanted device,
(i) establishing a baseline immediately after the lead is installed into the cardiac therapy medical device during fabrication of the device,
(ii) subjecting the installed lead to a nondestructive laboratory pull test,
(iii) measuring the elongation (E) and the baseline mechanical load (LB),
(iv) fitting the baseline test data to a formula LB=fB(E),
(v) determining the best-fit function and the best-fit parameters,
(vi) storing the empirical formula in the serial number of the cardiac therapy medical device computer,
(c) implanting the cardiac therapy medical device in the patient;
(d) operating the cardiac therapy medical device to continuously monitor the cardiac therapy medical device computer to monitor any elongation of the lead resulting from patient movements,
(i) when any elongation is sensed, measuring the elongation (E) and any corresponding mechanical load (L),
(ii) determining by use of the cardiac therapy medical device computer whether the threshold for imminent structural failure has been reached by comparing the mechanical load loss (ΔL=LB(E)−L) with the threshold mechanical load loss (ΔLT(E)),
(iii) should ΔL≧ΔLT(E), that is, if L≦fB(E)−fT(E), alerting the patient by use of the cardiac therapy medical device computer that structural failure of the lead is imminent,
(iv) should ΔL<ΔLT(E), that is, if L>fB(E)−fT (E), continuing operation of the cardiac therapy medical device.

### Claim 2

For use with a medical device to be implanted in a patient, a method for detecting imminent failure of a lead in the implanted medical device comprising the operational steps of:
operating the medical device to continuously monitor a medical device computer for monitoring any elongation of the lead resulting from patient movements,
when any elongation is sensed, measuring the elongation (E) and any corresponding mechanical load (L),
determining by use of the computer whether the threshold for imminent structural failure has been reached by comparing the mechanical load loss (ΔL=LB(E)−L) with the threshold mechanical load loss (ΔLT(E)),
should ΔL≧ΔLT(E), that is, if L≦fB(E)−fT(E), alerting the patient by use of the computer that structural failure of the lead is imminent, and
should ΔL<ΔLT(E), that is, if L>fB(E)−fT(E), continuing operation of the medical device.

### Claim 3 (depends on 2)

The method according to claim 2, comprising the pre-operational steps comprising the steps of:
deriving an empirical formula by
(i) selecting samples of leads of the model number of the medical device from the production line;
(ii) subjecting the leads to destructive laboratory pull testing by measuring the elongation (E) and the baseline mechanical load (LB) of the leads under varying conditions of the leads to obtain relative test results,
(iii) based upon the test results, evaluating the threshold mechanical load (LT) and the threshold mechanical load loss (ΔLT=LB−LT) as a function of the elongation (E),
(iv) fitting the threshold test data to an empirical formula of the general form ΔLT=fT(E) to determine the best-fit function and the best-fit parameters,
(v) storing the empirical formula in the computer; for each serial number of a lead in an implanted device,
(i) establishing a baseline immediately after the lead is installed into the cardiac therapy medical device during fabrication of the device,
(ii) subjecting the installed lead to a nondestructive laboratory pull test,
(iii) measuring the elongation (E) and the baseline mechanical load (LB),
(iv) fitting the baseline test data to a formula LB=fB(E),
(v) determining the best-fit function and the best-fit parameters, and
(vi) storing the empirical formula in the serial number of the computer.