CALIBRATION OF A WEARABLE MEDICAL DEVICE

• US 20150289820A1
• Filed: 04/09/2014
• Published: 10/15/2015
• Est. Priority Date: 04/09/2014
• Status: Active Grant

• Current Assignee: HALO Wearables LLC
• Original Assignee: HALO Wearables LLC
• Inventors: Miller, David Rich, Miller, Devin Warner, Lee, Jeffrey Michael
• Granted Patent: US 10,314,547 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0238 Means for recording calibration data
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0535 Impedance plethysmography for measuring blood flow A61B5/0295
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography
• CPC Class Codes: A61B 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/117 Identification of persons methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00
• CPC Class Codes: A61B 5/14517 for sweat
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14535 for measuring haematocrit
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6807 Footwear
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 : Arm or wrist
• CPC Class Codes: A61B 5/6829 : Foot or ankle
• CPC Class Codes: A61B 5/684 : Indicating the position of the sensor on the body
• CPC Class Codes: A61B 5/7207 : of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7221 : Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7246 : using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7267 : involving training the classification device
• CPC Class Codes: A61B 5/7275 : Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7296 : for compensation of signal variation due to stress unintentionally induced in the patient, e.g. due to the stress of the medical environment or examination deliberately inducing physiological or psychological stress A61B5/4884

Abstract

A technology for a wearable medical device for monitoring medical parameters. Medical measurement data can be received at the wearable medical device from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device. A calibration coefficient can be determined for calibrating the wearable medical device based on the medical measurement data. The wearable medical device can be calibrated based on the calibration coefficient.

Claims

1. A wearable medical device for monitoring medical parameters of a user with computer circuitry configured to:

receive, at the wearable medical device, medical measurement data from a medical measurement sensor attached to the wearable medical device or a medical measurement sensor in communication with the wearable medical device;

determine a calibration coefficient for calibrating the wearable medical device based on the medical measurement data; and

calibrate the wearable medical device based on the calibration coefficient.

2. The computer circuitry of claim 1, further configured to:

determine a movement of the wearable medical device; and

filter out interference or noise in the medical measurement data caused by the movement of the wearable device.

3. The computer circuitry of claim 1, further configured to:

receive a baseline value to use as an initially reference point for the medical measurement data from the medical measurement sensor;

reset the baseline value based on the calibration coefficient; and

compare the medical measurement data to the reset baseline value to determine a medical condition of an individual using the wearable medical device.

4. The computer circuitry of claim 1, further configured to:

filter the medical measurement data from the medical measurement sensor;

or

smooth the medical measurement data from the medical measurement sensor.

5. The computer circuitry of claim 1, wherein the computer circuitry is further configured to determine the calibration coefficient using a multivariate analysis or a regression analysis.

6. The computer circuitry of claim 1, wherein the computer circuitry is further configured to:

receive environmental measurement data from an environmental measurement sensor attached to the wearable medical device or a environmental measurement sensor in communication with the wearable medical device; and

determine a calibration coefficient for calibrating the wearable medical device based on the environmental measurement data.

7. The computer circuitry of claim 1, wherein the calibration coefficient is based on:

demographic information of the user;

recursive data points in the medical measurement data;

data collected from a plurality of individuals;

an sudden shift in the medical measurement data;

or

previous medical measurement data of the user.

8. The computer circuitry of claim 1, further configured to receive medical measurement data from an other medical measurement sensor, wherein the medical measurement sensor and the other medical measurement sensor provide orthogonal medical measurement data to the wearable medical device.

9. The computer circuitry of claim 8, further configured to aggregate medical measurement data from the medical measurement sensor and the other medical measurement sensor, wherein the medical measurement sensor and the other medical measurement sensor provide orthogonal medical measurement data.

10. The computer circuitry of claim 1, further configured to receive measurement data from an other device and determine a calibration coefficient based on the measurement data from the other device.

11. The computer circuitry of claim 1, wherein the computer circuitry is further configured to receive measurement data from another device and determine a calibration coefficient based on a correlation between measurement data from other device and the medical measurement data from the medical measurement sensor of the wearable medical device.

12. A physiological measurement device for taking a physiological measurement of a user comprising:

an authentication module to authenticate when a selected user is using the physiological measurement device;

a physiological sensor for taking a physiological measurement of the selected user at a time approximate to when the selected user is authenticated; and

a communicate module to communicate physiological measurement information from the physiological measurement device to a selected wearable device.

13. The physiological measurement device in claim 12, wherein the authentication module further comprises a proximity sensor to determine when the selected user is within a threshold distance of the physiological measurement device.

14. The physiological measurement device in claim 13, the authentication module further compromising:

a proximity sensor that communicates a beacon signal to the selected wearable medical device; and

a receiver that receives a beacon signal from the wearable medical device when the wearable medical device is within a threshold distance of the physiological measurement device.

15. A method for calibrating a wearable medical device, comprising:

receiving, at the wearable medical device, physiological measurement data from one or more physiological measurement sensors attached to the wearable medical device or in communication with the wearable medical device;

determining an adjustment parameter for the physiological measurement data from the one or more physiological measurement sensors; and

adjusting the physiological measurement data of the wearable medical device based on the adjustment parameter.

16. The method of claim 15, further comprising:

determining an identity of the user of the wearable medical device; and

calibrating the wearable medical device based on the identity of the user.

17. The method of claim 15, further comprising:

determining a location of the wearable medical device or one or more of the physiological measurement sensors on the body of a user of the wearable medical device;

determining when the wearable medical device or one or more of the physiological measurement sensors is relocated to an other location on the body of a user of the wearable medical device; and

calibrating the wearable medical device or one or more of the physiological measurement sensors based the other location of the wearable medical device or one or more of the physiological measurement sensors on the body of a user of the wearable medical device.

18. The method of claim 15, further comprising:

analyzing the physiological measurement data for recursive data points in a physiological measurement data set; and

calibrating the wearable medical device or one or more of the physiological measurement sensors based the recursive data points in a physiological measurement data set.

19. The method of claim 15, further comprising:

receiving, at the wearable medical device, health information of a user of the wearable medical device; and

calibrating the wearable medical device or one or more of the physiological measurement sensors based on the health information of the user.

20. The method of claim 15, further comprising:

determining one or more repetitive data points or repetitive data sets of the physiological measurement data; and

calibrating the physiological measurement data based on the repetitive data points or repetitive data sets of the physiological measurement data.

21. The method of claim 15, further comprising:

determining an error rate of the physiological measurement data; and

adjusting the wearable medical device or one or more of the physiological measurement sensors when the error rate of the physiological measurement data exceeds a selected error rate threshold.

22. The method of claim 15, further comprising:

determining an standard deviation of the received physiological measurement data; and

adjusting the wearable medical device or one or more of the physiological measurement sensors when the standard deviation of the physiological measurement data exceeds a selected standard deviation threshold.

23. The method of claim 15, further comprising:

determining an accuracy rate of the physiological measurement data; and

adjusting the wearable medical device or one or more of the physiological measurement sensors when the accuracy rate of the physiological measurement data decreases below selected accuracy rate threshold.