Blood pressure measuring smartglasses

• US 10,349,887 B1
• Filed: 04/04/2019
• Issued: 07/16/2019
• Est. Priority Date: 06/14/2015
• Status: Active Grant

• Current Assignee: Facense Ltd.
• Original Assignee: Facense Ltd.
• Inventors: Tzvieli, Arie, Frank, Ari M, Tzvieli, Ori, Thieberger, Gil
• Primary Examiner(s): Porta, David P
• Assistant Examiner(s): Boosalis, Fani
• Application Number:
  US16/375,837
• Publication Number:
  US 20190231261A1
• Time in Patent Office: 103 Days
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0247 for compensation or correction of the measured physiological value
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02433 for infrared radiation
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/4848 Monitoring or testing the effects of treatment, e.g. of medication
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: G02B 2027/0178 Eyeglass type eyeglass details G02C
• CPC Class Codes: G02B 27/017 Head mounted

Abstract

A system for detecting blood pressure based on imaging photoplethysmography (iPPG) includes an inward-facing head-mounted camera to capture images of a first region of interest (IM_ROI1) that comprises a portion of exposed skin of the user'"'"'s face, and an outward-facing head-mounted camera to capture images of a second region of interest (IM_ROI2) that comprises exposed skin on a hand of the user. The head-mounted cameras may be coupled to a frame of eyeglasses or smartglasses, and the system further includes a computer to calculate a blood pressure value for the user based on first and second photoplethysmographic signals recognizable in IM_ROI1 and IM_ROI2.

Claims

1. A system configured to calculate blood pressure, comprising:

an inward-facing head-mounted camera (HCAM₁) configured to capture images of a first region of interest (IM_ROI1) that comprises a portion of exposed skin of the user'"'"'s face;

an outward-facing head-mounted camera (HCAM₂) configured to capture images of a second region of interest (IM_ROI2) that comprises exposed skin on a hand of the user; and

a computer configured to calculate a blood pressure value for the user based on first and second photoplethysmographic signals (iPPG₁, iPPG₂) recognizable in IM_ROI1 and IM_ROI2, respectively.

2. The system of claim 1, wherein the first region comprises a portion of one or more of the following body parts of the user:

the neck, a jaw, a cheek, a maxillary process, the nose, a temple, and the forehead; and

wherein the second region of interest comprises a portion of exposed skin located between the wrist and the fingertips.

3. The system of claim 1, wherein iPPG₁ and iPPG₂ are indicative of pulse arrival times at the first and second regions of interest, respectively;

and wherein the computer is further configured to extract iPPG₁ and iPPG₂ from IM_ROI1 and IM_ROI2, respectively, and to calculate the blood pressure value based on a magnitude of a difference in the pulse arrival times at the first and second regions of interest.

4. The system of claim 3, wherein the computer is further configured to utilize calibration measurements of the user'"'"'s blood pressure, taken by a different device, to calculate parameters that are utilized by the computer to calculate the blood pressure value based on iPPG₁ and iPPG₂;

whereby the calibration measurements are indicative of the differences between the pulse arrival times at the first and second regions of interest that correspond to different blood pressure values of the user.

5. The system of claim 1, wherein the blood pressure value is indicative of one or more of the following values:

the systolic blood pressure of the user, the diastolic blood pressure of the user, and the mean arterial pressure of the user.

6. The system of claim 1, wherein the center of the first region is located more than 40 cm away from the center of the second region, when the hand is stretched to the side;

whereby changes in IM_ROI1 that are due to a cardiac pulse wave occur at least 20 ms before, or 20 ms after, changes in IM_ROI2 occur, which are due to the same cardiac pulse wave.

7. The system of claim 1, wherein HCAM₁ is a video camera, and HCAM₁ does not occlude the first region of interest.

8. The system of claim 1, wherein HCAM₁ is an angle-sensitive pixel sensor camera, weighing less than 1 g.

9. The system of claim 1, wherein the computer is further configured to generate feature values based on data comprising IM_ROI1 and IM_ROI2, and to utilize a model to calculate the blood pressure value based on the feature values;

wherein the model was trained based on training data comprising;

previously taken IM_ROI1 and IM_ROI2, and blood pressure values measured at times corresponding to the previously taken IM_ROI1 and IM_ROI2.

10. The system of claim 9, wherein iPPG₁ and iPPG₂ are indicative of pulse arrival times at the first and second regions of interest, respectively;

wherein the computer is further configured to extract iPPG₁ and iPPG₂ from IM_ROI1 and IM_ROI2, respectively; and

wherein the feature values comprise a value that is indicative of a difference between when a pulse wave manifested in IM_ROI1 and IM_ROI2.

11. The system of claim 9, wherein iPPG₁ and iPPG₂ are indicative of pulse arrival times at the first and second regions of interest, respectively;

wherein the computer is further configured to extract iPPG₁ and iPPG₂ from IM_ROI1 and IM_ROI2, respectively; and

wherein the feature values comprise one or more values that are indicative of;

(i) a certain blood pressure value of the user that was measured during a certain previous period, and (ii) a difference between when pulse waves of the user manifested in IM_ROI1 and IM_ROI2 taken during the certain previous period.

12. The system of claim 9, wherein the previously taken IM_ROI1 and IM_ROI2 comprise images of body parts of the user, and the blood pressure values corresponding to the previously taken IM_ROI1 and IM_ROI2 are blood pressure values of the user measured using a device that does not utilize HCAM₁ and HCAM₂.

13. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of a stress level of the user, and generate at least one of the feature values based on the received value.

14. The system of claim 13, further comprising an inward-facing head-mounted thermal camera configured to take thermal measurements of at least one of the following regions on the user'"'"'s face:

a periorbital region, a region on the forehead, and a region on the nose;

whereby the thermal measurements are indicative of the stress level of the user.

15. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of a hydration level of the user, and generate at least one of the feature values based on the received value.

16. The system of claim 15, further comprising an additional camera configured to detect intensity of radiation that is reflected from a region of exposed skin of the user;

wherein the radiation is in spectral wavelengths chosen to be preferentially absorbed by tissue water, and are chosen from three primary bands of wavelengths of approximately 1100-1350 nm, approximately 1500-1800 nm, and approximately 2000-2300 nm.

17. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of a temperature of the user'"'"'s body, and generate at least one of the feature values based on the received value.

18. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of a movement of the user'"'"'s body, and generate at least one of the feature values based on the received value.

19. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of an orientation of the user'"'"'s head, and generate at least one of the feature values based on the received value.

20. The system of claim 9, wherein the computer is further configured to:

receive a value indicative of consumption of a substance by the user, and generate at least one of the feature values based on the received value; and

wherein the substance comprises one or more of the following;

a vasodilator, a vasoconstrictor.