METHODS AND APPARATUS FOR ADAPTABLE PRESENTATION OF SENSOR DATA

• US 20190388036A1
• Filed: 09/06/2019
• Published: 12/26/2019
• Est. Priority Date: 12/11/2015
• Status: Active Grant

• Current Assignee: Valencell, Inc.
• Original Assignee: Valencell, Inc.
• Inventors: LeBoeuf, Steven Francis, Richey, William M., Aumer, Michael Edward
• Granted Patent: US 10,765,374 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• 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 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/022 by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

A client device includes a display and a processor configured to obtain a data stream from a remote sensor via a communication protocol. The remote sensor is a physiological sensor monitoring a subject and/or an environmental sensor monitoring an environment in a vicinity of the subject, and the data stream includes a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric. The processor is also configured to identify a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol, and display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.

Claims

1. A method of presenting data from a remote sensor that is monitoring a subject and/or an environment in a vicinity of the subject, the method comprising the following performed by a client device:

obtaining a data stream from the remote sensor via a communication protocol, wherein the data stream comprises a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric;

identifying a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol; and

displaying the sensor metric with statistical information about the sensor metric using the identified statistical distribution function via a display associated with the client device.

2. The method of claim 1, wherein the communication protocol is an application programming interface associated with the remote sensor.

3. The method of claim 1, wherein the sensor metric statistical information comprises information about accuracy of the remote sensor.

4. The method of claim 1, wherein the sensor metric statistical information is displayed as at least one probability distribution curve.

5. The method of claim 1, wherein the data stream further comprises a diagnostic assessment of a health condition of the subject, and wherein the method further comprises displaying the diagnostic assessment of the health condition of the subject via the display.

6. The method of claim 1, wherein the data stream is obtained wirelessly from the remote sensor.

7. The method of claim 1, wherein the sensor metric statistical information is obtained from the remote sensor.

8. The method of claim 1, wherein the client device is a mobile communication device.

9. The method of claim 1, wherein the remote sensor is a photoplethysmography (PPG) sensor or a blood pressure sensor.

10. A client device, comprising:

a display; and

at least one processor configured to;

obtain a data stream from a remote sensor via a communication protocol, wherein the remote sensor is a physiological sensor monitoring a subject and/or an environmental sensor monitoring an environment in a vicinity of the subject, wherein the data stream comprises a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric;

identify a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol; and

display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.

11. The client device of claim 10, wherein the communication protocol is an application programming interface associated with the remote sensor.

12. The client device of claim 10, wherein the at least one processor is configured to communicate with one or more processors associated with the remote sensor and to modify a processing algorithm of the one or more processors.

13. The client device of claim 10, wherein the at least one processor is configured to communicate with one or more processors associated with the remote sensor and to modify a communication protocol of the one or more processors.

14. The client device of claim 10, wherein the data stream further comprises a diagnostic assessment of a health condition of the subject, and wherein the at least one processor is further configured to display the diagnostic assessment of the health condition of the subject via the display.

15. The client device of claim 10, wherein the sensor metric statistical information comprises information about accuracy of the remote sensor.

16. The client device of claim 10, wherein the at least one processor displays the sensor metric statistical information as at least one probability distribution curve.

17. The client device of claim 10, wherein the at least one processor obtains the data stream wirelessly from the remote sensor.

18. The client device of claim 10, wherein the client device is a mobile communication device.

19. The client device of claim 10, wherein the remote sensor is a photoplethysmography (PPG) sensor or a blood pressure sensor.

20. The client device of claim 10, wherein the remote sensor further comprises a voice sensor, and wherein the at least one processor is further configured to process voice commands received from the voice sensor.