IP Library › Granted Patent US 12,208,057
Granted Patent B2
US 12,208,057 · App. 16/597,656 · Granted Jan 28, 2025

System and method of noninvasive blood flow measurement during cardiopulmonary resuscitation using signal gating

Inventors: Adeyinka Adedipe (Seattle, WA); Graham Nichol (Seattle, WA); Pierre D. Mourad (Seattle, WA); David Salcido (Seattle, WA); John Kucewicz (Seattle, WA); Matthew Sundermann (Seattle, WA)
Assignees: University of Washington; University of Pittsburgh—Of the Commonwealth System or Higher Education
A61H31/006A61B5/0261A61B5/0295A61B5/082A61B5/7271A61B8/06A61B8/4272A61B8/5215A61H2201/501A61H2230/255A61H2230/405
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Quick Facts
Patent No.
US 12,208,057
App. No.
16/597,656
Granted
Jan 28, 2025
Kind
B2
Abstract

In some embodiments, a blood flow sensor device such as a non-invasive cardiac arrest monitor (NICAM) that uses ultrasound to detect blood flow is used to monitor blood flow during cardiopulmonary resuscitation. One or more gating signal generation devices transmit gating signals to a blood flow monitoring computing device. The blood flow monitoring computing device uses the gating signals to determine time periods during which blood flow information generated by the blood flow sensor device is most likely to be accurate. The blood flow monitoring computing device measures blood flow during the time periods. In some embodiments, the blood flow monitoring computing device presents the measured blood flow to a user. In some embodiments, the blood flow monitoring computing device transmits a command to a chest compression device based on the measured blood flow.

Claims (43)

1. A system for measuring blood flow during cardiopulmonary resuscitation of a subject, the system comprising:

a blood flow sensor device that includes an ultrasound sensor;

a gating signal generation device; and

a blood flow monitoring computing device that includes at least one processor and a non- transitory computer-readable medium having computer-executable instructions stored thereon that, in response to execution by the at least one processor, cause the blood flow monitoring computing device to perform actions comprising:

receiving blood flow information from the blood flow sensor device, wherein the blood flow information includes measurements of motion of blood within a blood vessel detected by the ultrasound sensor during cardiopulmonary resuscitation;

receiving gating information from the gating signal generation device;

determining time periods for sampling the blood flow information based on the gating information, wherein the time periods represent inter-compression events of the cardiopulmonary resuscitation;

measuring blood flow indicated by the blood flow information during the time periods while ignoring blood flow indicated by the blood flow information outside of the time periods; and

transmitting a command to a chest compression device based on the measured blood flow indicated by the blood flow information during the time periods, wherein the command includes at least one of an instruction to change a compression rate, an instruction to change a compression depth, and an instruction to change a compression duty cycle;

wherein determining the time periods for sampling the blood flow information based on the gating information includes:

detecting, based on the gating information, the inter-compression events of the cardiopulmonary resuscitation; and

determining the time periods for sampling the blood flow information based on the detected inter-compression events;

wherein receiving the gating information from the gating signal generation device and detecting the inter-compression events of the cardiopulmonary resuscitation includes at least one of:

receiving tissue perfusion information from a photoplethysmography device and detecting minima of the tissue perfusion information;

receiving motion information from a motion sensing device and using the motion information to detect the inter-compression events;

receiving signals from a chest compression device indicating compression timing and using the signals indicating the chest compression timing to detect the inter-compression events; or

receiving signals from a blood flow information filter device and detecting motion based on tissue-related backscatter signals indicated by the signals from the blood flow information filter device; and

wherein measuring the blood flow indicated by the blood flow information during the time periods includes filtering, by the computing device, the blood flow information using a high-pass filter to screen out slow and bright tissue-related backscatter signals.

2. The system of claim 1 , wherein the blood flow sensor device includes a non-imaging ultrasound probe.

3. The system of claim 2 , wherein the blood flow sensor device includes an adhesive pad to affix the non-imaging ultrasound probe to the subject.

4. The system of claim 1 , wherein the gating signal generation device is a photoplethysmograph device or an end tidal CO2 measurement device.

5. The system of claim 1 , wherein the gating signal generation device is a motion sensing device.

6. The system of claim 1 , wherein the system includes the chest compression device.

7. The system of claim 6 , wherein the gating signal generation device is included within the chest compression device, and wherein the gating information indicates timing of operation of the chest compression device.

8. A computer-implemented method of measuring blood flow during cardiopulmonary resuscitation of a subject, the method comprising:

receiving, by a computing device, blood flow information from a blood flow sensor device, wherein the blood flow sensor device includes an ultrasound sensor, and wherein the blood flow information includes measurements of motion of blood within a blood vessel detected by the ultrasound sensor during cardiopulmonary resuscitation;

receiving, by the computing device, gating information from a gating signal generation device;

determining, by the computing device, time periods for sampling the blood flow information based on the gating information, wherein the time periods represent inter-compression events of the cardiopulmonary resuscitation;

measuring, by the computing device, blood flow indicated by the blood flow information during the time periods while ignoring blood flow indicated by the blood flow information outside of the time periods; and

transmitting, by the computing device, a command to a chest compression device based on the measured blood flow indicated by the blood flow information during the time periods, wherein the command includes at least one of an instruction to change a compression rate, an instruction to change a compression depth, and an instruction to change a compression duty cycle;

wherein determining the time periods for sampling the blood flow information based on the gating information includes:

detecting, based on the gating information, the inter-compression events of the cardiopulmonary resuscitation; and

determining the time periods for sampling the blood flow information based on the detected inter-compression events;

wherein receiving the gating information from the gating signal generation device and detecting the inter-compression events of the cardiopulmonary resuscitation includes at least one of:

receiving tissue perfusion information from a photoplethysmography device and detecting minima of the tissue perfusion information;

receiving motion information from a motion sensing device and using the motion information to detect the inter-compression events;

receiving signals from a chest compression device indicating compression timing and using the signals indicating the chest compression timing to detect the inter-compression events; or

receiving signals from a blood flow information filter device and detecting motion based on tissue-related backscatter signals indicated by the signals from the blood flow information filter device; and

wherein measuring the blood flow indicated by the blood flow information during the time periods includes filtering, by the computing device, the blood flow information using a high-pass filter to screen out slow and bright tissue-related backscatter signals.

9. The computer-implemented method of claim 8 , wherein determining the time periods for sampling the blood flow information based on the detected inter-compression events includes, for each inter-compression event:

determining a start time for the inter-compression event; and

determining a time period that begins at the start time and ends a predetermined amount of time after the start time.

10. The computer-implemented method of claim 9 , wherein the predetermined amount of time after the start time is about one-tenth of a second.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 14, 2021
From: ADEDIPE, ADEYINKA; NICHOL, GRAHAM; MOURAD, PIERRE D.; KUCEWICZ, JOHN
To: UNIVERSITY OF WASHINGTON
Reel/Frame 055920/0040 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 14, 2021
From: SALCIDO, DAVID; SUNDERMANN, MATTHEW
To: UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
Reel/Frame 055941/0218 →
Continuity (2)
Provisional Application 62743435 · Oct 9, 2018
Related Publication 20200107989A1 · Apr 9, 2020
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