IP Library › Granted Patent US 12,745,965
Granted Patent B2
US 12,745,965 · App. 18/605,926 · Granted Sep 29, 2026

Systems and methods for non-invasive blood pressure measurement

Inventors: Elad Ferber (Mountain View, CA); Pierre-Jean Cobut (Menlo Park, CA); Ramkrishnan Narayanan (San Jose, CA); Derya Gol Gungor (Sunnyvale, CA)
Assignee: Itamar Medical Spry 2021, Limited Partnership
A61B5/7221A61B5/0002A61B5/0008A61B5/0022A61B5/0064A61B5/0205A61B5/021A61B5/02125A61B5/02141A61B5/024A61B5/02416A61B5/0806A61B5/0816A61B5/117A61B5/14532A61B5/14535A61B5/14539A61B5/14546A61B5/1455A61B5/14551A61B5/4872A61B5/6802A61B5/6816A61B5/6823A61B5/6824A61B5/6829A61B5/7203A61B5/721A61B5/7264A61B5/7267A61B5/7275A61B5/7278A61B5/7435G16H40/67
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Quick Facts
Patent No.
US 12,745,965
App. No.
18/605,926
Granted
Sep 29, 2026
Kind
B2
Abstract

Systems and methods for non-invasive blood pressure measurement are disclosed. In some embodiments, a system comprises a wearable member configured to generate first and second signals, and a blood pressure calculation system. The blood pressure calculation system a pre-processing module configured to filter noise from the signals, and a wave selection module configured to identify subsets of waves of the signals, a feature extraction module configured to generate sets of feature vectors form the subsets of waves, and a blood pressure processing module configured to calculate an arterial blood pressure value based on the sets of feature vectors and an empirical blood pressure calculation model, the empirical blood pressure calculation model configured to receive the sets of feature vectors as input values. The blood pressure calculation system further includes a communication module configured to provide a message including or being based on the arterial blood pressure value.

Claims (37)

1 . A wearable non-invasive blood metric measurement system, comprising:

a wearable medical device comprising a sensor array configured to measure a blood metric of a user; and

at least one processor configured to

receive a signal outputted from the sensor array associated with the blood metric of the user, wherein the signal is at least partially corrupted with motion-related noise;

apply a low pass filter to the signal, the low pass filter configured to pass signals having a frequency lower than a predetermined cut off frequency, or to attenuate signals having frequencies higher than the predetermined cutoff cut off frequency;

invert the signal such that an increase in amplitude of the signal corresponds with an increase in volume in arteries of the user;

apply a high pass filter to the signal;

apply an adaptive filter to the signal to remove at least a portion of the motion-related noise from the signal;

output a filtered signal associated with the blood metric of the user; and

display a blood metric level associated with the blood metric of the user.

2 . The wearable non-invasive blood metric measurement system of claim 1 , wherein the blood metric comprises oxygen saturation.

3 . The wearable non-invasive blood metric measurement system of claim 2 , wherein the oxygen saturation is determined based on red and infrared transmitted light intensity.

4 . The wearable non-invasive blood metric measurement system of claim 1 , wherein the sensor array comprises a plurality of sensors configured to measure a plurality of different blood metrics.

5 . The wearable non-invasive blood metric measurement system of claim 1 , wherein the wearable medical device further comprises a motion sensor configured to detect motion of the wearable medical device.

6 . The wearable non-invasive blood metric measurement system of claim 1 , wherein the at least one processor is further configured to isolate signals associated with arteries from signals associated with venous pulsations.

7 . The wearable non-invasive blood metric measurement system of claim 1 , wherein the low pass filter has a predetermined cut off frequency range of 6 Hz-12 Hz.

8 . A wearable non-invasive blood metric measurement system, comprising:

a wearable medical device comprising a sensor array configured to measure an oxygen saturation level of a user;

an accelerometer configured to generate accelerometer signals indicative of motion;

an adaptive filter configured to apply the accelerometer signals indicative of motion as a noise reference;

a display having an application user interface; and

at least one processor configured to

receive, from the sensor array, noise-corrupted signals associated with the oxygen saturation level of the user, wherein the noise-corrupted signals are at least partially corrupted with motion-related noise;

receive, from the accelerometer, the accelerometer signals indicative of motion;

filter, using the adaptive filter, the noise-corrupted signals, to provide non-corrupted signals;

determine, based on the non-corrupted signals, the oxygen saturation level; and

display, on an application user interface, the oxygen saturation level.

9 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the wearable medical device is configured to be worn on a wrist of the user.

10 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the adaptive filter is configured to be dynamically modified such that its convolution with a noise reference from the accelerometer creates a noise component that is maximally similar to a motion related noise in the noise-corrupted signal.

11 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the adaptive filter is configured to remove a threshold portion of corresponding noise present in the noise-corrupted signals.

12 . The wearable non-invasive blood metric measurement system of claim 11 , wherein the threshold portion is greater than 80%.

13 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the adaptive filter is configured to remove motion noise from first and second signals generated from different light sources.

14 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the sensor array comprises a plurality of sensors configured to measure a plurality of different blood metrics.

15 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the oxygen saturation level is determined based on red and infrared transmitted light intensity.

16 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the application user interface of the display is configured to allow for selection, by the user, of one or more blood metrics or nutrients to be measured.

17 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the noise-corrupted signals are photoplethysmogram (PPG) signals.

18 . The wearable non-invasive blood metric measurement system of claim 8 , wherein the at least one processor is further configured to isolate signals associated with arteries from signals associated with venous pulsations.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 22, 2024
From: FERBER, ELAD; COBUT, PIERRE-JEAN; NARAYANAN, RAMKRISHNAN; GOL GUNGOR, DERYA
To: ECHO LABS, INC.
Reel/Frame 066865/0463 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 22, 2024
From: SPRY HEALTH, INC.
To: ITAMAR MEDICAL LTD.
Reel/Frame 066866/0022 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 22, 2024
From: ITAMAR MEDICAL, LTD.
To: ITAMAR MEDICAL SPRY 2021, LIMITED PARTNERSHIP
Reel/Frame 066866/0025 →
CHANGE OF NAME Recorded Mar 22, 2024
From: ECHO LABS, INC.
To: SPRY HEALTH, INC.
Reel/Frame 066874/0113 →
Continuity (7)
Continuation 18151576 · Jan 9, 2023
Continuation 16907041 · Jun 19, 2020
Continuation 15368504 · Dec 2, 2016
Provisional Application 62262532 · Dec 3, 2015
Provisional Application 62262540 · Dec 3, 2015
Provisional Application 62262342 · Dec 2, 2015
Related Publication 20240307000A1 · Sep 19, 2024
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