APPARATUS AND METHOD FOR ELECTROCARDIOGRAM-ASSISTED BLOOD PRESSURE MEASUREMENT

• US 20120283583A1
• Filed: 05/02/2012
• Published: 11/08/2012
• Est. Priority Date: 05/02/2011
• Status: Abandoned Application

• Current Assignee: Hilmi R. Dajani, Izmail Batkin, Miodrag Bolic, Mohamad Forouzanfar, Saif Ahmad, Voicu Zamfir Groza
• Original Assignee: Hilmi R. Dajani, Izmail Batkin, Miodrag Bolic, Mohamad Forouzanfar, Saif Ahmad, Voicu Zamfir Groza
• Inventors: Batkin, Izmail, Ahmad, Saif, Bolic, Miodrag, Groza, Voicu Zamfir, Dajani, Hilmi R., Forouzanfar, Mohamad
• Application Number:
  US13/462,670
• Publication Number:
  US 20120283583A1
• Time in Patent Office: Days
• US Class Current: 600/493
• CPC Class Codes: A61B 5/0225 the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
• CPC Class Codes: A61B 5/025 within occluders, e.g. responsive to Korotkoff sounds electric stethoscopes A61B7/04
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots

Abstract

Apparatus, method, and software for electrocardiogram-assisted non-invasive arterial blood pressure d stiffness measurement is disclosed including brachial cuff with flexible electrodes, control box with rigid electrodes, and associated hardware/software. Cuff is wrapped around upper arm while electrodes on device are touched with fingers of other hand. Device acquires simultaneous ECG/oscillometric data during cuff deflation. Processing unit determines ECG R-peak positions to isolate arterial pulses and calculate pulse transit time. Change in pulse amplitude as function of cuff pressure is used for constructing oscillometric envelope and calculating blood pressure using empirical coefficients. Change in pulse transit time as function of cuff pressure is used independently for constructing pulse transit time envelopes and finding blood pressure with/without empirical coefficients. Fusion algorithm combines results for robust blood pressure and vessel stiffness evaluation. Device sends physiological information to personal computer/smartphone wirelessly, for further analysis. Computer/smartphone transmits information to third party for patient management.

Claims

1. A sensing unit, comprising

a. a cuff for measuring blood pressure, comprising a first dry flexible sensing electrode positioned between a human body part and an inside surface of the cuff, for connection to a human body;

b. one or more dry flexible ground electrodes positioned between a human body part and an inside surface of the cuff for connection to the human body; and

c. a second sensing dry electrode for connection to the human body such that a heart of the human body is intermediate the first sensing and second sensing electrodes.

2. The system of claim 1, further comprising a second dry ground electrode near the second sensing electrode, for equalizing static potential on body and reducing noise.

3. The system of claim 1, wherein the first and second sensing electrodes are active electrodes to reduce transmission noise.

4. The system of claim 1, wherein the first and second sensing electrodes are high impedance electrodes to reduce half-cell potential.

5. The system of claim 1, further comprising a device box, wherein the second sensing electrode is positioned on the device box.

6. A system for non-invasive blood pressure estimation comprising:

a. an electrocardiogram (ECG) measuring unit;

b. an arterial pulse wave measuring unit in communication with the ECG measuring unit;

c. a cuff for measuring blood pressure in communication with the arterial pulse wave measuring unit;

d. two or more electrodes connected to the ECG measuring unit;

e. an analysis unit connected to the ECG and arterial puke wave measuring unit, the analysis unit comprising,

i. an ECG measuring subunit;

ii. a cuff pressure and arterial puke wave measuring subunit;

iii. a subunit that uses ECG R-peak information for de-trending cuff pressure signal;

iv. a subunit that uses ECG R-peak information for isolating arterial pulse waves;

v. a subunit for measuring pulse transit time between ECG R-peak and specific points on the arterial pulse wave and mapping the measured pulse transit time with corresponding cuff pressure, obtaining pulse transit time envelopes;

vi. a subunit for de-trending cuff pressure signal and finding arterial pulse wave amplitude using ECG R-peak information, and mapping the measured amplitude with corresponding cuff pressure, obtaining an oscillometric envelope;

vii. a subunit for analyzing morphology of pulse transit time envelopes, to obtain pulse transit time-based blood pressure estimation; and

viii. a subunit for analyzing morphology of the oscillometric envelope, to obtain oscillometric blood pressure estimation.

7. The system of claim 6, wherein the ECG measuring unit uses a high frequency, low magnitude current for checking the quality of contact between the electrodes and the human body.

8. The system of claim 6, wherein the ECG measuring unit comprises one or more flexible dry electrodes attached to the internal surface of a brachial cuff and one or more dry rigid electrodes attached to a device box.

9. The system of claim 6, wherein the analysis unit is selected from the group consisting of a software on a computer, software on a smartphone, hardware having an Field-Programmable Gate Array (FPGA) architecture, hardware having an Application-Specific Integrated Circuit (ASIC) architecture, and as a standalone unit having software and hardware therein.

10. The system of claim 6, further comprising communication means for transmitting physiological information through a network to designated recipients for medical evaluation and patient management.

11. The system of claim 6 wherein ECG R-peaks are used as one means for isolating arterial pulse waves.

12. The system of claim 6, wherein the electrodes are dry electrodes.

13. The system of claim 6, wherein the analysis unit further comprises:

ix. a subunit for fusing the oscillometric and pulse transit time analyses to obtain robust blood pressure estimation.

14. The system of claims 6, wherein the analysis unit further comprises:

ix. a subunit for evaluating vessel stiffness parameters based on fusing information obtained from the oscillometric and pulse transit time analyses.

15. The system of claim 6, further comprising a subunit that employs a coefficient-based method for evaluating diastolic and systolic blood pressure from oscillometric analysis, comprising steps of:

a. obtaining oscillometric envelope by using ECG R-peak information for de-trending the cuff pressure signal and for isolating arterial pulse waves;

b. using the maximum of the oscillometric envelope for determining mean blood pressure; and

c. using empirical coefficients on the oscillometric envelope for evaluating diastolic and systolic blood pressure.

16. The system of claim 6, further comprising a subunit that employs a coefficient-based method of evaluating diastolic and systolic blood pressure from pulse transit time analysis, comprising the steps of:

a. calculating pulse transit time between an ECG R-peak and maximum slope on an arterial pulse wave to obtain pulse transit time envelope;

b. using the maximum of the pulse transit time envelope for determining mean blood pressure; and

c. using empirical coefficients on the pulse transit time envelope for evaluating diastolic and systolic blood pressure.

17. A method of evaluating diastolic and systolic blood pressure from pulse transit time analysis, comprising the steps of:

a. calculating pulse transit time between ECG R-peaks and specific points on arterial pulse waves to obtain pulse transit time envelopes;

b. using the maximum of the pulse transit time envelope that is obtained by measuring pulse transit time between ECG R-peaks and bottom of arterial pulse waves, for evaluating diastolic blood pressure; and

c. using the maximum of the pulse transit time envelope that is obtained by measuring pulse transit time between ECG R-peaks and top of arterial pulse waves, for evaluating systolic blood pressure.

18. The method of claim 17, further comprising the step of fusing the oscillometric and pulse transit analyses to obtain robust blood pressure estimation.

19. The methods of claim 17, further comprising the step of repeating the evaluation of diastolic and systolic blood pressure periodically, for continuous blood pressure monitoring.