IP Library › Granted Patent US 12,364,441
Granted Patent B2
US 12,364,441 · App. 18/417,850 · Granted Jul 22, 2025

Blood pressure and autoregulation monitoring

Inventors: Andre Antunes (Edinburgh, GB); Paul S. Addison (Edinburgh, GB); Dean Montgomery (Edinburgh, GB)
Assignee: Covidien LP
A61B5/7278A61B5/021A61B5/7203A61B5/7257
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,364,441
App. No.
18/417,850
Granted
Jul 22, 2025
Kind
B2
Abstract

In some examples, a method includes receiving a signal indicative of a blood pressure of a patient and identifying at least one first portion of the signal comprising a first characteristic of the signal exceeding a first threshold. The method also includes identifying at least one first portion of the signal comprising a second characteristic of the signal exceeding a second threshold, the first characteristic being different than the second characteristic. The method further includes determining a filtered signal indicative of the blood pressure of the patient by excluding the at least one first portion and the at least one second portion from the signal. The method includes determining a set of mean arterial pressure values based on the filtered signal and determining an autoregulation status of the patient based on the set of mean arterial pressure values.

Claims (64)

1. A method for monitoring autoregulation status of a patient, comprising:

receiving, at processing circuitry, a blood pressure signal from a blood pressure sensor;

receiving, at the processing circuitry, an oxygen saturation signal from an oxygen saturation sensor that comprises:

an emitter configured to emit light at a first wavelength and a second wavelength;

a first detector configured to detect an intensity of the first wavelength; and

a second detector configured to detect an intensity of the second wavelength, wherein a first distance between the first detector and the emitter is less than a second distance between the second detector and the emitter;

identifying, using the processing circuitry, at least one portion of the blood pressure signal comprising artifacts due to a medical procedure;

generating, using the processing circuitry, a filtered signal by excluding the at least one portion from the blood pressure signal;

accessing, using the processing circuitry, a kernel and blood pressure values of the filtered signal;

determining, using the processing circuitry, one or more signal features by convolving the kernel and the blood pressure values of the filtered signal;

determining, using the processing circuitry, a set of mean arterial pressure values based on the blood pressure values of the filtered signal and the one or more signal features;

determining, using the processing circuitry, an autoregulation status of a patient based on the set of mean arterial pressure values and the oxygen saturation signal; and

instructing, using the processing circuitry, a display to display the set of mean arterial pressures values and an indication of the autoregulation status of the patient.

2. The method of claim 1 , comprising selecting, using the processing circuitry, the kernel from a plurality of kernels based on a heart rate of a patient.

3. The method of claim 1 , comprising:

generating, using the processing circuitry, a first convolved signal by convolving the kernel and the blood pressure values of the filtered signal;

generating, using the processing circuitry, a second convolved signal by convolving an additional kernel and the blood pressure values of the filtered signal;

selecting, using the processing circuitry, the first convolved signal based on relative power of the first convolved signal and the second convolved signal; and

determining, using the processing circuitry, the one or more signal features based on the first convolved signal.

4. The method of claim 1 , comprising:

estimating, using the processing circuitry, a beat duration and harmonic decomposition in a window of the filtered signal;

determining, using the processing circuitry, a number of kernel phases based on beat morphology and harmonics in the window;

determining, using the processing circuitry, coefficients based on the kernel phases; and

generating, using the processing circuitry, the kernel based on the coefficients.

5. The method of claim 1 , wherein determining, using the processing circuitry, the set of mean arterial pressure values comprises:

determining an abnormal heartbeat based on the one or more signal features; and

determining the set of mean arterial pressure values using a moving average in response to determining the abnormal heartbeat.

6. A system, comprising:

processing circuitry;

a sensing device configured to generate an oxygen saturation signal indicative of a blood oxygen saturation of the patient, wherein the sensing device comprises:

an emitter configured to emit light at a first wavelength and a second wavelength;

a first detector configured to detect an intensity of the first wavelength; and

a second detector configured to detect an intensity of the second wavelength, wherein a first distance between the first detector and the emitter is less than a second distance between the second detector and the emitter; and

memory storing instructions that, when executed by the processing circuitry, cause the processing circuitry to:

access a kernel and blood pressure values of a signal;

convolve the kernel and the blood pressure values of the signal to generate a convolved signal;

determine one or more signal features based on the convolved signal;

determine a set of mean arterial pressure values based on the blood pressure values of the signal and the one or more signal features;

determine an autoregulation status of a patient based on the set of mean arterial pressure values; and

instruct a display to display the set of mean arterial pressure values and an indication of the autoregulation status.

7. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

receive a blood pressure signal during a medical procedure;

identify at least one portion of the blood pressure signal comprising artifacts due to the medical procedure; and

generate a filtered signal by excluding the at least one portion from the blood pressure signal, wherein the signal comprises the filtered signal.

8. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

compare a power of the convolved signal to a threshold quality level; and

in response to determining that the power of the convolved signal is above the threshold quality level, determine the set of mean arterial pressure values based on the blood pressure values of the signal and the one or more signal features.

9. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to determine the set of mean arterial pressure values by integrating the blood pressure values of the signal on a beat by beat basis according to the one or more signal features.

10. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

select an additional kernel based on a heart rate of the patient, wherein the kernel enhances respective beat characteristics at a first frequency and the additional kernel enhances respective beat characteristics at a second frequency that is different than the first frequency;

convolve the additional kernel and the blood pressure values of the signal to generate an additional convolved signal; and

select the convolved signal based on relative power of the convolved signal and the additional convolved signal.

11. The system of claim 6 , wherein the kernel comprises a plurality of phases, and the plurality of phases comprise a first plateau, an upslope, a second plateau, a downslope, and a third plateau.

12. The system of claim 11 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to determine a number of the plurality of phases based on a heartbeat morphology of the signal.

13. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to determine the autoregulation status of the patient based on the set of mean arterial pressure values and the oxygen saturation signal.

14. The system of claim 6 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

determine a lower level of autoregulation and an upper level of autoregulation based on the set of mean arterial pressure values and the oxygen saturation signal; and

instruct the display to display a second indication indicative of the lower level of autoregulation and a third indication indicative of the upper level of autoregulation.

15. The system of claim 14 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

instruct the display to highlight the second indication in response to the set of mean arterial pressure values being less than the lower level of autoregulation; and

instruct the display to highlight the third indication in response to the set of mean arterial pressure values being greater than the upper level of autoregulation.

16. The system of claim 15 , wherein the instructions, when executed by the processing circuitry, cause the processing circuitry to:

determine the autoregulation status is impaired based on the set of mean arterial pressure values being less than the lower level of autoregulation or the set of mean arterial pressure values being greater than the upper level of autoregulation; and

instruct the display to adjust the indication indicative of the autoregulation status based on the autoregulation status being impaired.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 22, 2024
From: ANTUNES, ANDRE; ADDISON, PAUL S.; MONTGOMERY, DEAN
To: COVIDIEN LP
Reel/Frame 066878/0254 →
Continuity (3)
Continuation 18049116 · Oct 24, 2022
Continuation 16218160 · Dec 12, 2018
Related Publication 20240197265A1 · Jun 20, 2024
References Cited (39)
US 5743267A · Nikolic et al. · 1998 [cited by applicant]
US 6599251B2 · Chen et al. · 2003 [cited by applicant]
US 6689069B2 · Bratteli et al. · 2004 [cited by applicant]
US 7070566B2 · Medero et al. · 2006 [cited by applicant]
US 7927283B2 · Riobo Aboy · 2011 [cited by applicant]
US 8366627B2 · Kashif et al. · 2013 [cited by applicant]
US 8702604B2 · Karamanoglu et al. · 2014 [cited by applicant]
US 9474451B2 · Brady et al. · 2016 [cited by applicant]
US 9861317B2 · Ochs · 2018 [cited by applicant]
US 10660530B2 · Montgomery et al. · 2020 [cited by applicant]
US 11219376B2 · Montgomery et al. · 2022 [cited by applicant]
US 11478200B2 · Antunes et al. · 2022 [cited by applicant]
US 20090326386A1 · Sethi et al. · 2009 [cited by applicant]
US 20110105912A1 · Widman et al. · 2011 [cited by applicant]
US 20120197139A1 · Lee · 2012 [cited by applicant]
US 20150297558A1 · Thiemermann · 2015 [cited by examiner]
US 20150327779A1 · Breskin · 2015 [cited by examiner]
US 20160367197A1 · Addison et al. · 2016 [cited by applicant]
US 20170095161A1 · Addison et al. · 2017 [cited by applicant]
US 20170105631A1 · Addison et al. · 2017 [cited by applicant]
US 20170105671A1 · Borgos · 2017 [cited by applicant]
US 20170105672A1 · Addison · 2017 [cited by examiner]
US 20170181649A1 · Carter et al. · 2017 [cited by applicant]
US 20180014791A1 · Montgomery et al. · 2018 [cited by applicant]
US 20180020991A1 · Aung et al. · 2018 [cited by applicant]
US 20180049649A1 · Addison et al. · 2018 [cited by applicant]
US 20180249916A1 · Bienek et al. · 2018 [cited by applicant]
US 20180333055A1 · Lamego et al. · 2018 [cited by applicant]
US 20180338731A1 · Addison et al. · 2018 [cited by applicant]
US 20190269334A1 · Addison · 2019 [cited by examiner]
US 20200101209A1 · Reyes · 2020 [cited by examiner]
US 20200146636A1 · Addison · 2020 [cited by applicant]
US 20200187866A1 · Antunes et al. · 2020 [cited by applicant]
US 20210361177A1 · Shah · 2021 [cited by examiner]
WO 2017001023A1 · 2017 [cited by applicant]
Chuan et al., “Is Cerebrovascular Autoregulation Associated with Outcomes After Major Noncardiac Surgery? A Prospective Observational Pilot Study,” Acta Anaesthesiologica Scandinavica, Jul. 11, 2018, 10 pp. [cited by applicant]
Prosecution History from U.S. Appl. No. 16/218,160, dated Feb. 15, 2022 through Jun. 22, 2022, 35 pp. [cited by applicant]
Scheeren et al., “Journal of clinical monitoring and computing 2016 end of year summary: monitoring cerebral oxygenation and autoregulation,” Journal of Clinical Monitoring and Computing, vol. 31, No. 2, Apr. 2017, 6 pp. [cited by applicant]
Tsalach et al., “Cerebral Autoregulation Real-Time Monitoring,” PLoS ONE vol. 11, No. 8, Aug. 29, 2016, 14 pp. [cited by applicant]