Radar-based blood pressure measurement

Patent metadata

Field	Value
Publication number	US-2025248604-A1
Application number	US-202218855970-A
Country	US
Kind code	A1
Filing date	May 31, 2022
Priority date	May 31, 2022
Publication date	Aug 7, 2025
Grant date	—

Abstract

Various arrangements for measuring blood pressure using radar are presented herein. Radio frequency (RF) signals may be emitted and RF reflection signals can be received in response. The RF reflection signals can be analyzed at a first distance range and a second distance range to identify a first time of a pulse pressure wave at an aortic valve of a user and a second time of the pulse pressure wave at an extremity of the user, respectively. A pulse transmit time (PTT) of the pulse pressure wave from the aortic valve of the user to the extremity of the user using the first time and the second time can be determined. Using the PTT, a blood pressure of the user can then be determined.

First claim

1 . A method for measuring blood pressure, comprising:
emitting, by a radar sensor, radio frequency (RF) signals, wherein the radar sensor is housed by a housing comprising a base plate configured to be placed on a surface at a distance away from a user; receiving, by the radar sensor, RF reflection signals based on the emitted RF signals being reflected; processing, by a processing system, the received RF reflection signals to obtain distance-binned frequency measurements; analyzing, by the processing system, the processed received RF reflection signals at a first distance range corresponding to a first distance bin to identify a first time of a pulse pressure wave at an aortic valve of the user; analyzing, by the processing system, the processed received RF reflection signals at a second distance corresponding to a second distance bin to identify a second time of the pulse pressure wave at an extremity of the user, wherein the second distance bin corresponds to a shorter distance to the radar sensor than the first distance bin; determining, by the processing system, a pulse transmit time (PTT) of the pulse pressure wave from the aortic valve of the user to the extremity of the user using the first time and the second time; determining, by the processing system, a blood pressure of the user based on the determined PTT; and outputting, by the processing system, an indication of the determined blood pressure.

2 . The method for measuring blood pressure of claim 1 , wherein the extremity of the user is one or more hands of the user.

3 . The method for measuring blood pressure of claim 1 , wherein the extremity of the user is one or more feet of the user.

4 . The method for measuring blood pressure of claim 1 , wherein analyzing the RF reflection signals at the first distance range and at the second distance range is performed by one or more neural networks.

5 . The method for measuring blood pressure of claim 1 , further comprising determining a heart rate based on analyzing the RF reflection signals, wherein determining the blood pressure of the user is further based on the heart rate.

6 . The method for measuring blood pressure of claim 1 , further comprising determining a derived pulse waveform amplitude (DPWA) at the extremity of the user based on analyzing the RF reflection signals, wherein determining the blood pressure of the user is further based on the DPWA.

7 . The method for measuring blood pressure of claim 1 , further comprising:
receiving, by the processing system, an external blood pressure measurement made using a blood pressure device separate from a device comprising the radar sensor; comparing, by the processing system, the external blood pressure measurement and the determined blood pressure measurement; and creating, by the processing system, a calibration profile for use in modifying a future determined blood pressure measurement.

8 . The method for measuring blood pressure of claim 7 , wherein a machine learning model is modified based on the calibration profile specific to the user.

9 . The method for measuring blood pressure of claim 1 , wherein the radar sensor and the processing system are integrated as part of a home assistant hub device that further comprises a display screen and speaker, wherein the indication of the determined blood pressure is output using the display screen, the speaker, or both.

10 . A blood pressure measurement system, comprising:
a housing comprising a base plate configured to be placed on a surface at a distance away from a user; a radar subsystem housed by the housing, comprising:
a radio frequency (RF) emitter that emits RF signals;
an RF receiver that receives RF reflection signals based on the emitted RF signals being reflected; and
a processing system, comprising one or more processors, in communication with the radar subsystem, wherein the processing system is configured to:
process the received RF reflection signals to obtain distance-binned frequency measurements;
analyze the processed received RF reflection signals at a first distance range corresponding to a first distance bin to identify a first time of a pulse pressure wave at an aortic valve of the user;
analyze the processed received RF reflection signals at a second distance corresponding to a second distance bin to identify a second time of the pulse pressure wave at an extremity of the user, wherein the second distance bin corresponds to a shorter distance to the radar subsystem than the first distance bin;
determine a pulse transmit time (PTT) of the pulse pressure wave from the aortic valve of the user to the extremity of the user using the first time and the second time;
determine a blood pressure of the user based on the determined PTT; and
output an indication of the determined blood pressure.

11 . The blood pressure measurement system of claim 10 , further comprising a housing, wherein the housing houses the radar subsystem and the processing system.

12 . The blood pressure measurement system of claim 11 , wherein the housing further houses: a microphone, a speaker, and an electronic display, wherein the indication of the determined blood pressure is output via the electronic display.

13 . The blood pressure measurement system of claim 10 , wherein the extremity of the user is one or more hands of the user.

14 . The blood pressure measurement system of claim 10 , wherein the extremity of the user is one or more feet of the user.

15 . The blood pressure measurement system of claim 10 , wherein analyzing the RF reflection signals at the first distance range and at the second distance range is performed by one or more neural networks.

16 . The blood pressure measurement system of claim 10 , wherein the processing system is further configured to determine a heart rate based on analyzing the RF reflection signals, wherein determining the blood pressure of the user is further based on the heart rate.

17 . The blood pressure measurement system of claim 10 , wherein the processing system is further configured to determine a derived pulse waveform amplitude (DPWA) at the extremity of the user based on analyzing the RF reflection signals, wherein determining the blood pressure of the user is further based on the DPWA.

18 . The blood pressure measurement system of claim 10 , wherein the processing system is further configured to:
receive an external blood pressure measurement made using a blood pressure device separate from a device comprising the radar subsystem; compare the external blood pressure measurement and the determined blood pressure measurement; and create a calibration profile for use in modifying a future determined blood pressure measurement.

19 . The blood pressure measurement system of claim 18 , wherein a machine learning model is modified based on the calibration profile specific to the user.

20 . A non-transitory processor-readable medium, comprising processor-readable instructions configured to cause one or more processors to:
process radio frequency (RF) reflection signals to obtain distance-binned frequency measurements, wherein the RF reflection signals are received from a radar sensor configured to be placed on a surface at a distance away from a user; analyze the processed RF reflection signals at a first distance range corresponding to a first distance bin to identify a first time of a pulse pressure wave at an aortic valve of the user; analyze the RF reflection signals at a second distance range corresponding to a second

Assignees

• Google Llc

Inventors

• Nongpiur Rajeev
• Xu Luzhou

Classifications

• A61B2560/0462

  Apparatus with built-in sensors · CPC title

• A61B2560/0223

  of calibration, e.g. protocols for calibrating sensors · CPC title

• A61B5/7475

  User input or interface means, e.g. keyboard, pointing device, joystick · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title

• A61B5/7405

  using sound · CPC title