System for adaptively deriving ECG chest lead signal data

1. A system for adaptively deriving ECG chest lead signals for a plurality of the six ECG chest lead signals of a conventional 12 lead ECG signal set, comprising:

an input processor for receiving data comprising two measured ECG chest lead signals comprising a particular two of the six ECG chest lead signals of a conventional 12 lead ECG signal set and receiving associated information identifying said particular two signals of said six ECG chest lead signals;

a data processor for using said information identifying said particular two signals of said six ECG chest lead signals for identifying and selecting coefficients from a plurality of stored coefficients, and applying a transformation using said selected coefficients to said data comprising said two measured ECG chest lead signals to derive data representing a plurality of non-measured ECG chest lead signals; and

an output processor for processing said data representing said plurality of non-measured ECG chest lead signals for output.

2. A system according to claim 1 wherein

said input processor also receives data representing conventional 12 lead ECG signal set signals I and II, and

said data processor applies said transformation using said selected coefficients to said signals I and II in deriving said data representing a plurality of non-measured remaining ECG chest lead signals.

3. A system according to claim 1 wherein

said plurality of non-measured ECG chest lead signals comprises the four remaining non-measured ECG chest lead signals of said six conventional ECG chest lead signals.

4. A system according to claim 1 wherein

said plurality of stored coefficients comprises a plurality of sets of coefficients and an individual set of coefficients is associated with a corresponding particular selection of two of the six conventional ECG chest lead signals.

5. A system according to claim 4 wherein

said plurality of sets of coefficients comprises thirty sets of coefficients associated with thirty available ways of selecting two of the six conventional ECG chest lead signals.

6. A system according to claim 5 wherein

said plurality of sets of coefficients comprises thirty coefficient matrices.

7. A system according to claim 1 wherein

said data processor identifies and selects coefficients using said information identifying the particular two signals of the six conventional ECG chest lead signals for any patient.

8. A system according to claim 1 wherein

said transformation is a linear transformation.

9. A system according to claim 8 wherein

said selected coefficients comprise a coefficient matrix and

said data processor performs a matrix multiplication operation in performing said linear transformation.

10. A system for adaptively deriving ECG chest lead signals for a plurality of the six ECG chest lead signals of a conventional 12 lead ECG signal set, comprising:

an input processor for receiving data comprising two measured ECG chest lead signals comprising a particular two of the six ECG chest lead signals of a conventional 12 lead ECG signal set and receiving associated information identifying said particular two signals of said six ECG chest lead signals;

a data processor for using said information identifying said particular two signals of said six ECG chest lead signals for identifying and selecting patient non-specific coefficients from a plurality of stored coefficients, and applying a linear transformation using said selected coefficients to said data comprising said two measured ECG chest lead signals to derive data representing a plurality of non-measured ECG chest lead signals; and

an output processor for processing said data representing said plurality of non measured ECG chest lead signals for output.

11. A system according to claim 10 wherein

said selected patient non-specific coefficients comprise a coefficient matrix and

said data processor performs a matrix multiplication operation in performing said linear transformation.

12. A system according to claim 11 wherein said selected coefficient matrix includes coefficients corresponding to the following values, with a 20% tolerance,

{{0.124276, 0.528647, −0.470581, 0.959203},

{0.366777, 0.646839, −0.419272, 0.439137},

{0.243609, 0.612888, −0.240065, 0.063791},

{0.051211, 0.525849, −0.166559, −0.064981}}.

13. A method for adaptively deriving ECG chest lead signals for a plurality of the six ECG chest lead signals of a conventional 12 lead ECG signal set, comprising the steps of:

receiving data comprising two measured ECG chest lead signals comprising a particular two of the six ECG chest lead signals of a conventional 12 lead ECG signal set and receiving associated information identifying said particular two signals of said six ECG chest lead signals;

employing said information identifying said particular two signals of said six ECO chest lead signals for identifying and selecting coefficients from a plurality of stored coefficients;

applying a transformation using said selected coefficients to said data comprising said two measured ECG chest lead signals to derive data representing a plurality of non-measured ECG chest lead signals; and

processing said data representing said plurality of non-measured ECG chest lead signals for output.