Claims
- 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 ECG 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.
Parent Case Info
[0001] This is a non-provisional application of provisional application serial No. 60/402,791 by B. Tabbara et al. filed Aug. 12, 2002.
Provisional Applications (1)
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Number |
Date |
Country |
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60402791 |
Aug 2002 |
US |