What is claimed is:
1. A method of improving a performance parameter for an electronically controlled engine, comprising:
making a plurality of engine control calibration algorithms available to an engine control system; and
selecting an engine control calibration algorithm that corresponds to a predicted duty cycle.
2. The method of claim 1 further comprising changing a selection to a different one of said plurality of engine control calibration algorithms that corresponds to a different predicted duty cycle.
3. The method of claim 1 further comprising determining the predicted duty cycle at least in part based upon a selected machine operation.
4. The method of claim 1 further comprising determining the predicted duty cycle at least in part by evaluating operation history data for the engine.
5. The method of claim 4 wherein the step of making a plurality of engine control calibration algorithms available to an engine control system comprises storing an engine simulation model in the engine control system.
6. The method of claim 5 further comprising storing engine operation history data in the engine control system.
7. The method of claim 6 wherein said selecting comprises optimizing a performance parameter for the predicted duty cycle.
8. The method of claim 1 further comprising obtaining an emissions compliance certification for each of the plurality of engine control calibration algorithms.
9. The method of claim 1 wherein the making a plurality of engine control calibration algorithms available to an engine control system comprises storing the plurality of engine control calibration algorithms in the engine control system.
10. The method of claim 1 wherein the selecting an engine control calibration algorithm that corresponds to a predicted duty cycle is periodically performed on a predetermined schedule.
11. The method of claim 1 further comprising shutting down the engine during at least one of the making a plurality of engine control calibration algorithms available to an engine control system comprises and the selecting an engine control calibration algorithm that corresponds to a predicted duty cycle.
12. A machine comprising:
a machine body;
an engine attached to the machine body, and including a control system with a control selection algorithm for selecting from a plurality of available engine control calibration algorithms; and
each of said engine control calibration algorithms corresponding to a particular duty cycle and at least one engine performance parameter.
13. The machine of claim 12 further comprising at least one implement attached to the machine body and operably coupled to the engine.
14. The machine of claim 13 wherein said at least one implement comprises a conveyance.
15. The machine of claim 13 wherein said at least one implement comprises earth moving equipment.
16. The machine of claim 12 wherein said control system comprises an engine operation history database and an engine simulation model.
17. The machine of claim 12 wherein said control system comprises a plurality of stored engine control calibration algorithms.
18. The machine of claim 12 further comprising an emissions compliance certification associated with each of said plurality of engine control calibration algorithms.
19. The machine of claim 12 further comprising a duty cycle selector operably coupled to said control section algorithm.
20. The machine of claim 12 further comprising a previous duty cycle determiner.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for identifying and measuring electrocardiographic altemans from at least one electrocardiographic (ECG) signal representative of the electric activity of a heart of a patient, the method comprising the steps of:
obtaining the ECG signal over a predetermined number of cardiac cycles of the patient’s heart;
dividing the ECG signal into its individual cardiac cycles, each cardiac cycle having a depolarization portion and a repolarization portion;
dividing the repolarization portion of each cardiac cycle into a plurality of repolarization segments;
separately measuring the amplitude of each of the plurality of repolarization segments contained in the repolarization portion during each cardiac cycle, the amplitude of each repolarization segment for each cardiac cycle being measured from a repolarization reference baseline drawn between a first base segment occurring immediately prior to the repolarization portion of the present cardiac cycle and a second base segment occurring immediately prior to the depolarization portion of the subsequent cardiac cycle; and
digitally processing the amplitude measurements for the repolarization segments to determine the presence of alternans in the physiologic signals.
2. The method of claim 1 wherein the step of obtaining the ECG signal includes:
obtaining a twelve lead ECG signal over the predetermined number of cardiac cycles; and
reducing the twelve lead ECG signal to an orthogonal 3-dimensional lead set.
3. The method of claim 2 wherein the step of reducing the twelve lead ECG signal to the 3-dimensional set includes the steps of:
deriving eight orthogonal leads from the twelve lead ECG signal where the eight orthogonal leads are linear combinations of the twelve ECG signal leads; and
selecting the three leads of the eight orthogonal lead ECG signal that have the largest mean-square amplitude.
4. The method of claim 1 further comprising the step of measuring the amplitude of a plurality of depolarization segments contained in the depolarization portion of each cardiac cycle, the amplitude of each depolarization segment being measured from a second reference baseline defined by a third base segment occurring immediately prior to the depolarization portion of the present cardiac cycle and the second base segment occurring immediately prior to the depolarization portion of the subsequent cardiac cycle.
5. The method of claim 4 wherein the ECG signal includes three ECG signals taken from three leads and the amplitude of the repolarization portion of each cardiac cycle is measured at four repolarization segments for each of the three leads, such that twelve amplitude measurements are taken over the repolarization portion of each cardiac cycle.
6. The method of claim 5 wherein the digital processing of the twelve amplitude measurements for the repolarization segments includes:
filtering the amplitude measurements to remove the low frequency portion of each measurement;
transforming the twelve amplitude measurements into eigenvariables by using singular value decomposition; and
calculating a spectral density from each of the eigenvariables, wherein the spectral density for each of the eigenvariables are used to locate alternans.
7. The method of claim 5 wherein the ECG signal includes three ECG signals taken from three leads and the amplitude of the depolarization of each cardiac cycle is measured at four depolarization segments for each of the three leads, such that twelve amplitude measurements are taken over the depolarization portion of each cardiac cycle.
8. The method of claim 7 wherein the digital processing of the twelve amplitude measurements of the depolarization portion of each cardiac cycle includes:
filtering the amplitude measurements to remove the low frequency portion of each amplitude measurement;
transforming the twelve amplitude measurements of the depolarization portion into eigenvariables by using singular value decomposition;
calculating a spectral density from each of the eigenvariables; and
determining the respiration frequency from the maximum spectral density of the first eigenvariable calculated from the depolarization portion of the cardiac cycle.
9. A method for identifying and measuring electrocardiographic altemans from at least one electrocardiographic (ECG) signal representative of the electric activity of a heart of a patient, the method comprising the steps of:
obtaining the ECG signal over a predetermined number of cardiac cycles of a patient’s heart;
dividing the ECG signal into its individual cardiac cycles, each cardiac cycle having a depolarization portion and a repolarization portion;
dividing the repolarization portion of each cardiac cycle into a plurality of repolarization segments;
separately measuring the amplitude of the plurality of repolarization segments contained in the repolarization portion during each cardiac cycle, the amplitude of each repolarization segment being measured from a repolarization reference baseline calculated from the ECG signal for only the present cardiac cycle; and
digitally processing the amplitude measurements from the plurality of repolarization segments for each cardiac cycle to determine the presence of alternans in the physiologic signals.
10. The method of claim 9 wherein the repolarization reference baseline is drawn between a first base segment occurring immediately prior to the repolarization portion of the present cardiac cycle and a second base segment occurring immediately prior to the depolarization portion of the subsequent cardiac cycle.
11. The method of claim 9 wherein the ECG signal includes three ECG signals taken from three leads and the amplitude of the repolarization portion of each cardiac cycle is measured at four repolarization segments for each of the three leads, such that twelve amplitude measurements are taken over the repolarization portion of each cardiac cycle.
12. The method of claim 11 wherein the digital processing of the twelve amplitude measurements for the repolarization segments includes:
filtering the amplitude measurements to remove the low frequency portion of each measurement;
transforming the twelve amplitude measurements into eigenvariables by using singular value decomposition; and
calculating a spectral density from each of the eigenvariables, wherein the spectral density for each of the eigenvariables are used to locate alternans.
13. The method of claim 9 wherein the step of obtaining the ECG signal includes:
obtaining a twelve lead ECG signal over the predetermined number of cardiac cycles; and
reducing the twelve lead ECG signal to an orthogonal 3-dimensional lead set.
14. The method of claim 13 wherein the step of reducing the twelve lead ECG signal to the 3-dimensional set includes the steps of:
deriving eight orthogonal leads from the twelve lead ECG signal where the eight orthogonal leads are linear combinations of the twelve ECG signal leads; and
selecting the three leads of the eight orthogonal lead ECG signal that have the largest mean-square amplitude.
15. The method of claim 9 further comprising the step of separately measuring the amplitude of a plurality of depolarization segments contained in the depolarization portion during each cardiac cycle, the amplitude of each depolarization segment being measured from a second reference baseline.
16. The method of claim 15 wherein the second reference baseline is drawn between by a third base segment occurring immediately prior to the depolarization portion of the present cardiac cycle and a second base segment occurring immediately prior to the depolarization portion of the subsequent cardiac cycle.