Method of and arrangement for diagnosing heart disease

• US 5,649,544 A
• Filed: 01/17/1992
• Issued: 07/22/1997
• Est. Priority Date: 10/30/1989
• Status: Expired due to Fees

• Current Assignee: Genquan Feng
• Original Assignee: Genquan Feng
• Inventors: Feng, Genquan
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US07/822,525
• Time in Patent Office: 2,013 Days
• Field of Search: 128/696, 128/702-705
• US Class Current: 600/509
• CPC Class Codes: A61B 5/28 for electrocardiography [ECG]
• CPC Class Codes: A61B 5/30 Input circuits therefor

Abstract

Heart disease is non-invasively, accurately diagnosed at an early stage. A plurality of functions descriptive of the patient are mathematically determined. A set of indices for each function is established in advance. Each index has two states indicative of the patient'"'"'s condition. An integrated pattern of the states of the indices from a plurality of the functions is generated and matched against a stored collection of index patterns whose diagnosis is known.

Claims

1. A method of diagnosing a cardiac condition of a patient, comprising the steps of:

(a) acquiring electrocardiographic signals from the patient;

(b) mathematically determining a plurality of functions descriptive of the patient from the electrocardiographic signals;

(c) establishing a set of indices for each function, each index having two states, each indicative of the cardiac condition of the patient;

(d) recognizing the state of each index for each function;

(e) generating an integrated pattern of the states of the indices from a plurality of the functions;

(f) storing a collection of index patterns, each containing a multitude of patterns of the states of indices for a multitude of patients whose cardiac condition is known; and

(g) matching the generated integrated pattern against the stored collection of index patterns to determine the cardiac condition of the patient being diagnosed.

2. The method according to claim 1, wherein the acquiring step is performed by acquiring the electrocardiographic signals as a function of time from a surface of the body of the patient being diagnosed through a plurality of surface electrodes over a multi-cycle test period.

3. The method according to claim 2, wherein the acquiring step is performed by processing the electrocardiographic signals into an analog signal that is indicative of the cardiac activity of the left ventricle, and into another analog signal that is indicative of the cardiac activity of the heart.

4. The method according to claim 2, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into respective power spectrum characteristics wherein power is a function of frequency.

5. The method according to claim 4, wherein the establishing step is performed by setting in advance pre-set parameters, including power amplitude thresholds, shapes of peaks, intervals between peaks and relative amplitudes between peaks;

and wherein the recognizing step is performed by comparing each power spectrum characteristic against the pre-set parameters, and by determining the state of each index for each power spectrum characteristic in response to the comparing step.

6. The method according to claim 2, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into a phase angle characteristic wherein relative phase shift between the electrocardiographic signals is a function of frequency.

7. The method according to claim 6, wherein the establishing step is performed by setting in advance pre-set parameters, including phase lag and lead and shapes of peaks;

and wherein the recognizing step is performed by comparing the phase angle characteristic against the pre-set parameters, and by determining the state of each index for the phase angle characteristic in response to the comparing step.

8. The method according to claim 2, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into an impulse response characteristic wherein amplitude is a function of impulse time.

9. The method according to claim 8, wherein the establishing step is performed by setting in advance pre-set parameters, including the number and shapes of peaks, and the direction, amplitude and shape of a main peak;

and wherein the recognizing step is performed by comparing the impulse response characteristic against the pre-set parameters, and by determining the state of each index for the impulse response characteristic in response to the comparing step.

10. The method according to claim 7, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into a coherence characteristic wherein coherence between the electrocardigraphic signals is a function of frequency.

11. The method according to claim 10, wherein the establishing step is performed by setting in advance pre-set parameters, including the level of coherence;

and wherein the recognizing step is performed by comparing the coherence characteristic against the pre-set parameters, and by determining the state of each index for the coherence characteristic in response to the comparing step.

12. The method according to claim 2, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into amplitude histogram characteristics wherein occurrence frequency is a function of amplitude.

13. The method according to claim 12, wherein the establishing step is performed by setting in advance pre-set parameters, including amplitude thresholds and numbers of amplitudes;

and wherein the recognizing step is performed by comparing each amplitude histogram characteristic against the pre-set parameters, and by determining the state of each index for each amplitude histogram characteristic in response to the comparing step.

14. The method according to claim 2, wherein the mathematically determining step is performed by converting the electrocardiographic time-dependent signals into a cross correlation characteristic between the electrocardiographic signals wherein cross correlation is a function of time shift between the electrocardiographic signals.

15. The method according to claim 14, wherein the establishing step is performed by setting in advance pre-set parameters, including amplitude and location of main peak, relative amplitudes between peaks, shape and number of peaks, shapes of peaks;

and wherein the recognizing step is performed by comparing the cross correlation characteristic against the pre-set parameters, and by determining the state of each index for the cross correlation characteristic in response to the comparing step.

16. The method according to claim 1, wherein the generating step is performed by generating the integrated pattern from all of said functions.

17. A method of diagnosing a cardiac condition of a patient, comprising the steps of:

(a) acquiring electrical analog electrocardiographic signals from the patient;

(b) mathematically determining a plurality of functions descriptive of the patient from the analog signals, including power spectrum, phase angle, impulse response, amplitude histogram, cross correlation and coherence;

(c) establishing a set of indices for each function, each index having two states, each indicative of the cardiac condition of the patient;

(d) recognizing the state of each index for each function;

(e) generating an integrated pattern of the states of the indices from a plurality of the functions;

(f) storing a collection of index patterns, each containing a multitude of patterns of the states of indices for a multitude of patients whose condition is known;

(g) matching the generated integrated pattern against the stored collection of index patterns to determine the cardiac condition of the patient;

(h) said establishing step including;

(I) Power Spectrum

(1) 1/2--Is the amplitude ratio of the first peak/second peak above a limit?

(2) O--Is shape of any of first four peaks rounded similar to omega (Ω

)?

(3) U1--Do any of first four peaks have a twinned peak?

(4) U2--Are the intervals between any of first four peaks unequal?

(5) U3--Is the inequality of the intervals between any of the first four peaks above a limit?

(6) U3xy--Same as U3 but are any two peaks simultaneously positive?

(7) U4--Is the shape of any peak similar to a hill ()?

(8) U5--Is the shape of any peak similar to a mountain ()?

(9) N1--Is the first peak null?

(10) N3--Is the third and/or fourth peak null?

(11) S--Is the heart rate below 60 beats per minute?

(12) SS--Is the heart rate below 50 beats per minute?

(13) F--Is the heart rate over 100 beats per minute?

(14) FF--Is the heart rate above 120 beats per minute?

(15) A1--Is the amplitude of the first peak above a limit?

(16) A2--Is the amplitude of any two of the first four peaks above a limit?

(17) A3--Is the amplitude of the second peak above a limit?

(18) A4--Is the amplitude of the third and/or fourth peak above a limit?

(19) A5--Is any one of the 5th-12th peaks higher than the first peak?

(20) A55--Are any two of the 5th-12th peaks higher than the first peak?

(21) A6--Are more than two of the 5th-12th peaks higher than the first peak?

(22) Nn--Are the first and second peaks higher than the third and fourth peaks?

(23) nN--Are the third and fourth peaks higher than the first and second peaks?

(24) Nnn--Is the first peak higher than the second, third and fourth peaks?

(25) nnN--Is the first peak lower than the second, third and fourth peaks?

(II) Phase Angle

(26) P+--Does the phase angle lag above a limit at various frequency bands?

(27) P--Does the phase angle lead above a limit at Various frequency bands?

(28) WW--Is the shape of the waveform similar to the letter "W" at various frequency bands?

(29) PW+--Do indices 26 and 28 co-exist at various frequency bands?

(30) PW--Do indices 27 and 28 co-exist at various frequency bands?

(31) L--Is the phase angle too small plus is the impulse response too even?

(32) U--Does the waveform have the shape of the letter "U" at various frequency bands?

(33) W--Are there two or more U-shaped waves?

(34) V--Does the waveform have a long upward slope?

(35) Y--Is the slope of the waveform positive or negative?

(36) X--Do indices 32 and 35 or 32 and 33 co-exist?

(37) Z--Does the waveform have waves shaped like the letter "Z"?

(III) Impulse response

(38) D1--Does the waveform have a double top plane wave resembling or ?

(39) D2--Does the waveform have a stair steps wave resembling ?

(40) f--Is the main response impulse negative?

(41) M1--Does the main response impulse have a twin peak?

(42) M2--Does the shape of the main response impulse resemble the letter "M"?

(43) M3--Does the main response impulse have more than three peaks?

(44) M4--Does the main response impulse have a peak that is too wide?

(45) M5--Does the side response have a peak whose amplitude is above a limit?

(46) M6--Is the main response impulse totally downward?

(IV) Coherence

(47) Q1--Is the coherence of the first peak of the power spectrum below a limit?

(48) Q2--Is the coherence of the highest peak of the transfer function below a limit?

(V) Amplitude Histogram

(49) V+--Is the amplitude of lead V5 above a limit?

(50) 2+--Is the amplitude of lead II above a limit?

(51) V---Is the amplitude of lead V5 below a limit?

(52) 2---Is the amplitude of lead II below a limit?

(53) Vn+--Is the number of bundles of the column in the amplitude histogram of lead V5 above a limit?

(54) Vn---Is the number of bundles of the column in the amplitude histogram of lead V5 below a limit?

(55) 2n+--Is the number of bundles of the column in the amplitude histogram of lead II above a limit?

(56) 2n---Is the number of bundles of the column in the amplitude histogram of lead II below a limit?

(VI) Cross Correlation

(57) RRR--Is the amplitude of the main peak above a limit?

(58) rrr--Is the amplitude of the main peak below a limit?

(59) R--Is the main peak within a higher zone?

(60) r--Is the main peak within a lower zone?

(61) RR--Is the interval between R1 and R2 above a limit?

(62) rr--Is the interval between R1 and R2 too short?

(63) rR--Is the peak R1 lower than the peak R2?

(64) R2--Is the peak R2 below a limit?

(65) R+--Does the peak R1 shift to the right side?

(66) R---Does the peak R2 shift to the left side?

(67) Rw+--Is the bottom of the first positive peak below the bottom of the first negative peak, and so on for successive peaks?

(68) Rw---Is the bottom of the first positive peak above the bottom of the first negative peak, and so on for successive peaks?

(69) pt--Is the number of peaks whose amplitude is above a threshold between peaks R1 and R2 above a limit?

(70) PT--Is there one or more peaks between peaks R1 and R2 higher than peak R2 above a limit?

(71) Rn--Does R2 have a twin peak or a zigzag shape?

(72) Rm--Is the peak R1 too wide?

(73) Rv--Is one bend of R1 too steep in slope?

18. An arrangement for diagnosing a cardiac condition of a patient, comprising:

(a) means for acquiring electrocardiographic signals from the patient;

(b) means for mathematically determining a plurality of functions descriptive of the patient from the electrocardiographic signals;

(c) means for establishing a set of indices for each function, each index having two states, each indicative of the cardiac condition of the patient;

(d) means for recognizing the state of each index for each function;

(e) means for generating an integrated pattern of the states of the indices from a plurality of the functions;

(f) means for storing a collection of index patterns, each containing a multitude of patterns of the states of indices for a multitude of patients whose cardiac condition is known; and

(g) means for matching the generated integrated pattern against the stored collection of index patterns to determine the cardiac condition of the patient being diagnosed.