# US 10,765,374 B2 · Methods and apparatus for adaptable presentation of sensor data

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 10,765,374 B2
- Document ID: US10765374B2
- Status: Granted
- Kind: B2
- Application number: 16/563,105
- Filed: 2019-09-06
- Published: 2019-12-26
- Granted: 2020-09-08
- Earliest claimed: 2015-12-11
- Assignees: Valencell, Inc.
- Applicants: Valencell, Inc.
- Inventors: Steven Francis LeBoeuf; William M. Richey; Michael Edward Aumer
- Web page: https://patentgrep.com/patent/US10765374B2

## CPC

- A61B 5/7221: {Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217)}
- A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)}
- A61B 5/02108: {from analysis of pulse wave characteristics}
- A61B 5/022: by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B 5/0816: {Measuring devices for examining respiratory frequency (measuring frequency of electric signals G01R23/00)}
- A61B 5/14551: {for measuring blood gases}
- A61B 5/7282: {Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818)}
- A61B 5/742: {using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339)}
- G16H 40/63: for local operation
- G16H 40/67: for remote operation
- A61B 5/02405: {Determining heart rate variability}
- A61B 5/02416: {using photoplethysmograph signals, e.g. generated by infrared radiation (A61B5/14552 takes precedence)}
- A61B 5/145: Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value {; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue} (non-radiation detecting or locating of foreign bodies in blood A61B5/06)
- A61B 2560/0242: adapted to measure environmental factors, e.g. temperature, pollution
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 50/30: for calculating health indices; for individual health risk assessment
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## 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

### Claim 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 an accuracy of the sensor metric;
identifying a statistical distribution function associated with the remote sensor via a function selector provided as part of 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.

### Claim 2 (depends on 1)

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

### Claim 3 (depends on 1)

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

### Claim 4 (depends on 1)

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

### Claim 5 (depends on 1)

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.

### Claim 6 (depends on 1)

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

### Claim 7 (depends on 1)

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

### Claim 8 (depends on 1)

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

### Claim 9 (depends on 1)

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

### Claim 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 an accuracy of the sensor metric;
identify a statistical distribution function associated with the remote sensor via a function selector provided as part of the communication protocol; and
display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.

### Claim 11 (depends on 10)

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

### Claim 12 (depends on 10)

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.

### Claim 13 (depends on 10)

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.

### Claim 14 (depends on 10)

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.

### Claim 15 (depends on 10)

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

### Claim 16 (depends on 10)

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.

### Claim 17 (depends on 10)

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

### Claim 18 (depends on 10)

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

### Claim 19 (depends on 10)

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

### Claim 20 (depends on 10)

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.