# US 12,109,050 B2 · Method and system for acquiring data for assessment of cardiovascular disease

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- Number: US 12,109,050 B2
- Document ID: US12109050B2
- Status: Granted
- Kind: B2
- Application number: 18/522,806
- Filed: 2023-11-29
- Published: 2024-03-28
- Granted: 2024-10-08
- Earliest claimed: 2015-06-15
- Assignees: Riva Health, Inc.
- Applicants: Riva Health, Inc.
- Inventors: Tuhin Sinha; Ian Eslick; Alan Leggitt
- Web page: https://patentgrep.com/patent/US12109050B2

## CPC

- 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}
- A61B 5/0077: {Devices for viewing the surface of the body, e.g. camera, magnifying lens}
- A61B 5/02427: {Details of sensor}
- A61B 5/02438: {with portable devices, e.g. worn by the patient}
- 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)}
- G06N 20/00: Machine learning
- G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients
- G16H 20/70: relating to mental therapies, e.g. psychological therapy or autogenous training
- G16H 30/40: for processing medical images, e.g. editing
- G16H 40/63: for local operation
- 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 5/02055: {Simultaneously evaluating both cardiovascular condition and temperature}
- A61B 5/02108: {from analysis of pulse wave characteristics}
- A61B 5/4812: {Detecting sleep stages or cycles}
- A61B 5/6826: {Finger}
- A61B 5/6843: {Monitoring or controlling sensor contact pressure}
- A61B 5/7239: {using differentiation including higher order derivatives}
- A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems}
- A61B 2576/00: Medical imaging apparatus involving image processing or analysis (A61B1/00009, A61B6/52 and A61B8/52 take precedence)
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A method and system for acquiring data for assessment of cardiovascular disease, the method comprising one or more of: manipulating one or more hardware aspects of the photoplethysmography data acquisition system(s) implementing the method; manipulating or providing user experience/user interface (UX/UI) aspects of the system(s) implementing the method; acquiring, processing, and deriving insights population specific data; accounting for or controlling sampling site variability; and using other suitable sources of data in order to generate high quality data for characterization, assessment, and management of cardiovascular disease.

## Claims

### Claim 1

A method comprising:
a) determining a time series of data of a body region of the individual at a device coupled to an individual;
b) determining a mapping of the body region of the individual at the device for each of a set of frames of the time series of data;
c) determining an active pixel set for each of the set of frames of the time series of data;
d) aggregating at least one of the mappings or the active pixel sets of the set of frames of the time series of data into an aggregated time series of data; and
e) determining a health biomarker value of the individual based upon the aggregated time series.

### Claim 2 (depends on 1)

The method of claim 1, further comprising transmitting the health biomarker value to the device.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
iteratively repeating steps a)-e) to determine a second health biomarker value; and
comparing the first health biomarker value to the second health biomarker value.

### Claim 4 (depends on 1)

The method of claim 1, further comprising extracting a subset of the aggregated time series of data, wherein the health biomarker value is determined based on the subset.