DETERMINATION OF VENTRICULAR PRESSURE AND RELATED VALUES

• US 20140107505A1
• Filed: 10/11/2012
• Published: 04/17/2014
• Est. Priority Date: 10/11/2012
• Status: Abandoned Application

• Current Assignee: Alon Marmor, Amir Marmor
• Original Assignee: Alon Marmor
• Inventors: MARMOR, Alon, MARMOR, Amir
• Application Number:
  US13/649,857
• Publication Number:
  US 20140107505A1
• Time in Patent Office: Days
• US Class Current: 600/486
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02028 Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/0215 by means inserted into the body catheters A61M25/00
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/0225 the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6876 Blood vessel
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: A61B 7/045 Detection of Korotkoff sounds A61B5/0225 takes precedence; measuring blood pressure A61B5/021
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00

Abstract

A method and a device for determining a cardiac function parameter, the device including a sonic sensor for determining timing data of a closure of a mitral valve and an aortic valve, a pressure cuff and a sensing unit coupled to the pressure cuff for sensing. The sensing unit is configured to sense, for each cardiac cycle, blood breakthrough pressure data and corresponding time data from a closing of the mitral valve and data relating to a velocity of propagation of a pressure wave as it travels along at least a portion of the pressure cuff. The device also includes a processing unit for determining a value of at least one cardiac function parameter based on the data.

Claims

1. A device for determining a cardiac function parameter, the device comprising:

a sonic sensor for determining timing data of a closure of a mitral valve and an aortic valve;

a pressure cuff;

a sensing unit coupled to the pressure cuff for sensing;

for each cardiac cycle, blood breakthrough pressure data and corresponding time data from a closing of the mitral valve;

data relating to a velocity of propagation of a pressure wave as it travels along at least a portion of the pressure cuff; and

,

a processing unit for determining a value of at least one cardiac function parameter based on the data.

2. The of claim 1, wherein said at least one cardiac function parameter is selected from the group of cardiac function parameters consisting of end diastolic pressure, max dP/dT, isovolumetric contraction time, systemic vascular resistance, and central aortic pressure.

3. The device of claim 1, wherein the sonic sensor is a microphone.

4. The device of claim 1, wherein the sensing unit comprises at least two sensors.

5. The device of claim 4, wherein said at least two sensors are selected from the group of sensors consisting of pressure sensors and Doppler sensors.

6. The device of claim 1, wherein said at least one cardiac function parameter is max dP/dT, and wherein the processing unit is configured to iteratively calculate cardiac pressure and related values by calculating a slope of a tangent to a pressure waveform at a time point where the aortic valve opens.

7. The device of claim 1, wherein said at least one cardiac function parameter is max dP/dT, and wherein the processing unit is configured to calculate an integral of a second derivative of a polynomial function.

8. The device of claim 1, wherein said at least one cardiac function parameter is an end diastolic pressure, and wherein the processing unit is configured to calculate the end diastolic pressure using an equation, the equation being:

9. The device of claim 1, wherein said at least one cardiac function parameter is systemic vascular resistance, and wherein the processing unit is configured to determine the systemic vascular resistance by comparing a theoretical portion of an isovolumetric pressure function with an empirical central aortic pressure function.

10. The device of claim 1, configured to export data to a monitoring unit.

11. A device for determining a cardiac function parameter, the device comprising:

a sonic sensor for determining timing data of a closure of a mitral valve and an aortic valve;

a pressure sensor configured to be positioned within a central aorta of a patient for sensing pressure data during a pressure build-up within the central aorta; and

,

a processing unit for determining a value of at least one cardiac function parameter based on the data.

12. The device of claim 11, wherein the sonic sensor is a microphone.

13. The device of claim 11, configured to export data to a monitoring unit.

14. The of claim 11, wherein said at least one cardiac function parameter is selected from the group of cardiac function parameters consisting of end diastolic pressure, max dP/dT, isovolumetric contraction time, systemic vascular resistance, and central aortic pressure.

15. The device of claim 11, wherein said at least one cardiac function parameter is systemic vascular resistance, and wherein the processing unit is configured to determine the systemic vascular resistance by comparing a theoretical portion of an isovolumetric pressure function with an empirical central aortic pressure function.

16. A method for determining a cardiac function parameter, the method comprising:

collecting timing data of a closure of a mitral valve and an aortic valve using a sonic sensor;

using a sensing unit coupled to a pressure cuff, sensing;

for each cardiac cycle, blood breakthrough pressure data and corresponding time data from a closing of the mitral valve;

data relating to a velocity of propagation of a pressure wave as it travels along at least a portion of the pressure cuff; and

,

determining a value of at least one cardiac function parameter based on the data, using a processing unit.

17. The method of claim 16, wherein said at least one cardiac function parameter is selected from the group of cardiac function parameters consisting of end diastolic pressure, max dP/dT, isovolumetric contraction time, systemic vascular resistance, and central aortic pressure.

18. The method of claim 16, wherein said at least one cardiac function parameter is max dP/dT, and wherein the processing unit is configured to iteratively calculate cardiac pressure and related values by calculating a slope of a tangent to a pressure waveform at a time point where the aortic valve opens.

19. The method of claim 16, wherein said at least one cardiac function parameter is an end diastolic pressure, and wherein the processing unit is configured to calculate the end diastolic pressure using an equation, the equation being:

20. The method of claim 16, wherein said at least one cardiac function parameter is systemic vascular resistance, and wherein the processing unit is configured to determine the systemic vascular resistance by comparing a theoretical portion of an isovolumetric pressure function with an empirical central aortic pressure function.