Non-invasive monitoring of hemodynamic parameters using impedance cardiography

• US 5,685,316 A
• Filed: 04/08/1996
• Issued: 11/11/1997
• Est. Priority Date: 04/08/1996
• Status: Expired due to Fees

• Current Assignee: Rheo-Graphic Pte Limited
• Original Assignee: Rheo-Graphic Pte Limited
• Inventors: Morozov, Aleksandr A., Schookin, Sergei I., Beliaev, Konstantin R., Zubenko, Viatcheslav G., Yong, Wen H.
• Primary Examiner(s): Kamm, William E.
• Application Number:
  US08/629,420
• Time in Patent Office: 582 Days
• Field of Search: 128/734, 128/723, 128/693, 128/213, 128/211, 128/696
• US Class Current: 600/526
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0535 Impedance plethysmography for measuring blood flow A61B5/0295
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

A method and apparatus for determination of heart rate, heart stroke volume, and cardiac output from thoracic bioimpedance signals. A unique bioimpedance electrode arrangement is employed, and the bioimpedance signals are corrected for gain-phase-frequency distortion through the use of sinusoidal test signals through the measuring or detection electrodes to identify distortions and correct for same during actual measurements. Time-derivative bioimpedance signals are employed, the power spectrum calculated, and a novel autoconvolution procedure used to emphasize the heart rate harmonic. Breath waves and other signals not indicative of the patient'"'"'s cardiocycles are removed. Left ventricular ejection time is derived from the bioimpedance signals, and an improved version of Kubicek'"'"'s equation is employed to derive heart stroke volume and thus cardiac output.

Claims

1. A method for processing a bioimpedance signal of a patient for derivation of heart rate, heart stroke volume, and cardiac output comprising:

digitally filtering and phase correcting the bioimpedance signal to remove gain-phase-frequency distortions;

estimating heart rate using a power spectrum of the bioimpedance signal, and an auto-convolution function of the said power spectrum;

suppressing breath waves to remove undesired power spectra components and generate a bioimpedance signal of restored shape;

determining cardiocycles of said restored bioimpedance signal;

determining effective left ventricular ejection time (ELVET) using check points within said cardiocycles; and

discarding at least some of said cardiocycles which exhibit interference artifacts.

2. The method of claim 1, wherein determining the effective left ventricular ejection time (ELVET) further comprises:

locating points on a time-derivative bioimpedance curve for the bioimpedance signal; and

selecting the points which most accurately reflect cardiac events.

3. The method of claim 1, further comprising determination of phase-frequency and gain-frequency characteristics of a transducer employed in detection of the bioimpedance signal prior to use thereof in said detection, and correcting for signal distortion in the output of said transducer attributable to said characteristics.

4. The method of claim 3, wherein said determination comprises:

generating a high precision sinusoidal impedance signal with peak-to-peak impedance of approximately 0.2 Ohms and baseline impedance of approximately 375 Ohms;

connecting said sinusoidal impedance signal to said transducer;

measuring the output from said transducer; and

calculating gain-phase-frequency characteristic, H(f), of the transducer in a predefined frequency range.

5. The method of claim 4, further comprising generating said high precision sinusoidal impedance signal using a voltage-to-impedance converter including a photoresistor, a photoemitter, a power supply and an analog-to-digital-to analog computer interface.

6. The method of claim 5, further comprising producing through said interface a set of test signals with predefined amplitude and frequency range, detecting an output signal from said transducer, and analyzing said output signal to determine said phase-frequency and said gain-frequency characteristics.

7. The method of claim 3, further comprising employing posterior signal processing to correct linear gain-phase-frequency distortions by converting real operating characteristics of the transducer to predefined characteristics, wherein phase shift is zeroed and gain is assumed to be constant in a predefined frequency range.

8. The method of claim 1, wherein estimating heart rate further comprises:

calculating a power spectrum of the bioimpedance signal;

multiplying said power spectrum by a selected amplitude-frequency function to differentiate the signal and suppress breath harmonics;

autoconvoluting the resulting power spectrum according to the formula;

space="preserve" listing-type="equation">AS1(ƒ

)=PSα

(ƒ

)·

PSα

(2ƒ

).multidot.PSα

(3ƒ

);

and

determining a maximum amplitude value of autoconvolution in a predefined frequency range as an estimation of heart rate.

9. The method of claim 1, wherein determining cardiocycles further comprises:

filtering the bioimpedance signal to emphasize fronts of cardiocycles;

calculating a time-amplitude envelope of said cardiocycles by analyzing the first five harmonics of the power spectrum of said bioimpedance signal after said filtration;

selecting said cardiocycle fronts by comparison with said calculated time-amplitude envelope; and

rejecting erroneously-detected fronts.

10. The method of claim 1, wherein discarding cardiocycles exhibiting interference artifacts further comprises:

detecting time and amplitude relations referencing check points within individuals of a plurality of cardiocycles;

comparing said time and amplitude relations between individuals of a said plurality of cardiocycles; and

further examining selected cardiocycles which exhibit the presence of artifact according to a plurality of comparison criteria.

11. The method of claim 10, further comprising:

constructing a multi-dimensional vector for each selected cardiocycle;

comparing said multi-dimensional vector with such vectors for other cardiocycles; and

rejecting the cardiocycles with vectors having no neighboring vectors of other cardiocycles.

12. The method of claim 1, wherein determining effective left ventricular ejection time (ELVET) comprises:

filtering the bioimpedance signal and suppressing breath waves therein;

detecting a cardiocycle;

calculating the time derivative of the bioimpedance signal;

determining the maximum value of the time derivative;

determining effective ejection start time;

determining effective ejection end time; and

calculating effective left ventricular ejection time (ELVET) as change in time between effective ejection start time and end time.

13. The method of claim 1, further including determining stroke volume by:

determining specific blood resistivity P;

measuring a distance L between two bioimpedance electrodes applied to the patient;

determining the base thoracic impedance Z₀ ;

determining ELVET;

and calculating stroke volume SV according to the equation

space="preserve" listing-type="equation">SV=K·

P·

ELVET·

(L/Z.sub.0).sup.2 ·

(dZ/dt).sub.max,

where K is a novel scale factor related to body composition of the patient.

14. The method of claim 13, further comprising calculating K as:

space="preserve" listing-type="equation">K-K.sub.0 -K.sub.1 ·

(SCHEST/(H.sup.K.sbsp.2 ·

W.sup.K.sbsp.3)),

where;

space="preserve" listing-type="equation">SCHEST=(PCHEST.sup.2 +PNECK·

PCHEST+PNECK.sup.2)/12π

.

15. The method of claim 4, wherein K₀, K₁, K₂, K₃ are gender and age dependent and lie in ranges of

16. The method of claim 13, further including determining cardiac output as a product of stroke volume and heart rate.

17. The method of claim 1, wherein suppressing breath waves further comprises:

calculating the Fourier transform of the bioimpedance signal;

locating the first and second frequency harmonics of cardiocycles in the calculated spectrum of the signal;

estimating the width of each of the harmonics;

suppressing frequency harmonics below the lower bound of the second harmonic except for harmonics within the bounds of the first frequency harmonic; and

calculating the inverted Fourier transform of the signal.

18. The method of claim 1, wherein an electrode array is employed for detecting said bioimpedance signals, and further comprising:

placing an upper influencing electrode on the patient'"'"'s head;

placing a lower influencing electrode on the left lower extremity of the patient;

placing an upper pair of detecting electrodes on the patient'"'"'s neck; and

placing a lower pair of detecting electrodes on the trunk of the patient.

19. The method of claim 18, further comprising:

placing said upper influencing electrode on the patient'"'"'s forehead;

placing said lower influencing electrode in the general area of the patient'"'"'s left knee;

placing said pair of upper detecting electrodes on the patient'"'"'s neck; and

placing said pair of lower detecting electrodes laterally on opposite sides of the patient'"'"'s chest.

20. The method of claim 19, wherein said upper influencing electrode comprises a spot electrode, and further comprising placing said upper influencing electrode substantially on an intersection of vertical and horizontal center lines of said patient'"'"'s forehead.

21. The method of claim 19, wherein said lower influencing electrode comprises a spot electrode, and further comprising placing said lower influencing electrode at a location which satisfies the relationship L<

5R, where L is the vertical distance between said upper and said lower influencing electrodes and R is the radius of said patient'"'"'s chest.

22. The method of claim 19, wherein said upper detecting electrodes comprises a pair of spot electrodes and said placement thereof is oriented symmetrically on opposite sides of said patient'"'"'s neck along a horizontal line approximately 4 centimeters above the base of said patient'"'"'s neck.

23. The method of claim 19, wherein said lower detecting electrodes further comprise a pair of electrode assemblies, each assembly providing contact surface area between about 12 and about 30 square centimeters, and further comprising orienting said assemblies laterally on opposite sides of said patient'"'"'s chest at approximately appendix level.

24. The method of claim 23, wherein each assembly further comprises four spot electrodes, wherein each spot electrode comprises approximately 4 square centimeters contact surface area with each said spot electrode centered at corners of a square with sides measuring 5 centimeters, and all 4 spot electrodes of said assembly electrically connected to each other.

25. The method of claim 24, further comprising placing the top spot electrodes of each assembly on the sword-shaped appendix level of the patient.