Method for adapting the stimulation frequency of a heart pacemaker to the burden of the patient

• US 5,133,349 A
• Filed: 08/06/1990
• Issued: 07/28/1992
• Est. Priority Date: 02/05/1988
• Status: Expired due to Term

• Current Assignee: Pacesetter AB (Abbott Laboratories)
• Original Assignee: Siemens AG
• Inventors: Heinze, Roland
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US07/573,032
• Time in Patent Office: 722 Days
• Field of Search: 128/419 PG
• US Class Current: 607/22
• CPC Class Codes: A61N 1/36557 controlled by chemical substances in blood

Abstract

During optimization intervals prescribed by the heart pacemaker, the stimulation frequency is periodically changed and an acquisition of a measured value that is dependent on the cardiac minute output is respectively phase-synchronized with the change in stimulation frequency. An identification is thereby made whether the measured value that is dependent on the cardiac minute output changes given the change of the stimulation frequency. A number of curves are stored representing different relationships between a regulating variable, derived from the measured value, and the stimulation frequency. The stimulation frequency of the pacemaker is set based on one of these curves, as selected by an optimization controller to which the regulating variable is supplied. If the change in the measured valued as acquired during the optimization intervals indicates that the currently-selected curve is no longer accurate, the optimization controller selects another curve from among the stored curves which best represents the current relationship between the regulating variable and the stimulation frequency.

Claims

1. In a method for adapting the stimulation frequency of a heart pacemaker to the burden of a patient, including the steps of acquiring a measured value dependent on the cardiac minute output, changing the stimulation frequency during defined time intervals dependent on whether said measured value dependent on the cardiac minute volume changes, deriving a regulating variable from a succession of said measured values, and selecting a characteristic that best represents the relationship between the regulating variable and stimulation frequency in accord with this measured value change from among a plurality of stored characteristics respectively representing different relationships between the regulating variable and stimulation frequency, the improvement comprising the steps of identifying a series of chronologically spaced optimization intervals, periodically changing the stimulation frequency during each optimization interval, acquiring a series of said measured values dependent on the cardiac minute output respectively at times which are phase-synchronized with the change in stimulation frequency, and updating the selection of said characteristic that best represents the relationship between the regulating variable and stimulation frequency using said measured values acquired during said optimization interval.

2. The improvement of claim 1, comprising the additional steps of obtaining a correlation value identifying a correlation between all measured values that are acquired during a frequency change period and measured values of the preceding frequency change periods;

and setting the characteristics burden-dependent regulating variable-stimulation frequency based on said correlation value.

3. The improvement of claim 1, comprising the additional steps of calculating the measured value changes obtained during an optimization interval, and selecting the characteristic representing the relationship between regulating variable and stimulation frequency based on the calculation.

4. The improvement of claim 3, comprising the additional step of comparing the calculation of the measured value changes in an optimization interval to an upper, positive limit value and to a lower, negative limit value, and wherein the step of selecting the characteristic representing the relation between regulating variable and stimulation frequency is defined by the steps of:

a) shifting the characteristic toward lower stimulation frequencies when the calculation of the measured value changes is less than -A1 in at least one optimization interval;

b) maintaining the characteristic unaltered when the calculation of the measured value changes lies between -A1 and +A1; and

c) shifting the characteristic in the direction of higher stimulation frequencies when the calculation of the measured value changes is greater than A1 in at least one optimization interval.

5. The improvement of claim 4, wherein the step (a) is further defined as shifting the characteristic in the direction of lower stimulation frequencies when the calculation of the measured value changes lies between -A1 and A1 in two successive optimization intervals.

6. The improvement of claim 4, wherein step (c) is further defined as shifting the characteristic in the direction of higher stimulation frequencies when the calculation of the measured value changes in two successive optimization intervals lies between -A1 and A1 and a lower limit characteristic is reached.

7. The improvement of claim 6 wherein said optimization intervals include a resting phase and a high stress phase, and comprising the additional steps of conducting steps (a), (b) and (c) only during said rest phase.

8. The improvement of claim 3, wherein said stimulation frequency has an upper limit f_max, wherein said optimization intervals include a high stress phase, and comprising the additional steps of comparing the calculation of the measured value changes to an upper, positive limit value A1 and to a lower, negative limit value -A1 and varying the upper limit f_max according to the following steps during a high stress phase of the patient;

a) reducing the limit value f_max when the calculation of the measured value changes Δ

M in at least one optimization interval is less than -A1 and the upper limit f_max has not yet reached a lowest prescribed value;

b) maintaining the upper limit f_max unaltered when the calculation of the measured value changes Δ

M lies between -A1 and +A1; and

c) increasing the upper limit value f_max when the calculation of the measured value changes Δ

M in at least one optimization interval is greater than A1 and the upper limit f_max has not yet reached an uppermost, prescribed value.

9. The improvement of claim 8, wherein step (a) is further defined by reducing the upper limit f_max when the calculation of the measured value changes Δ

M lies between -A1 and A1 in two successive optimization intervals and the upper limit f_max has not yet reached said lowest, prescribed value.

11. The improvement of claim 1, comprising the additional steps of storing, for each current measured value Mn, at least two measured values M_n-1 and M_n-2 acquired in preceding stimulation frequency changes, and calculating a measured value change Δ

M according to one of the following equations;

space="preserve" listing-type="equation">Δ

M=(M.sub.n-1 -M.sub.n-2)-1/2(M.sub.n -M.sub.n-2), and

given a decrease of the stimulation frequency

space="preserve" listing-type="equation">Δ

M=-(M.sub.n-1 -M.sub.n-2)=1/2(M.sub.n -M.sub.n-2).

12. The improvement of claim 1 comprising the additional steps of determining whether each stimulation frequency change is positive or negative, assigning a positive value to a measured value change occurring as a result of a positive stimulation frequency change, and assigning a negative value to a measured value change occurring as a result of a negative stimulation frequency change.

13. The improvement of claim 1, comprising the additional step of, if a number of measured value changes adequate for an optimization procedure cannot be acquired in a current optimization interval, storing and re-using the measured value changes from a preceding optimization interval as measured value changes in said current optimization interval.

10. The improvement of 8, the upper limit value f_max when the calculation of the measured value changes lies between -A1 and A1 in two successive optimization intervals and the upper limit f_max has reached said lowest, prescribed value.