PHYSIOLOGICAL BIOMARKER-RELATED MULTIMODAL DATA COLLECTION

Number: 20250132042
Published: 2025-04-24
Filed: 2023-10-19
Assignee: DISNEY ENTERPRISES, INC.
Inventors: Comito; Keith J. et al.
CPC: A61B5/112; A61B5/7264; A61B5/7267; G16H50/20; G16H50/30; G16H50/70
Verdict: Set aside health/biometric data collection, medical business (Comito companion-device cluster)
Source: Google Patents · FreePatentsOnline

Abstract

A method is disclosed that includes collecting first biomarker-related data of a subject from a first sensor and second biomarker-related of the subject from a second sensor, the first biomarker-related data being tagged with a first time of collection of the first biomarker-related data from the first sensor, the second biomarker-related data being tagged with a second time of collection of the second biomarker-related data from the second sensor; generating a first physiological biomarker using the first biomarker-related data and a second physiological biomarker using the second biomarker-related data; and determining a health status of the subject based on the first physiological biomarker and the second physiological biomarker.

Background

FIELD

The present application relates to systems and methods of collecting physiological biomarker related data from subjects and use of such data to predict or determine health status of the subjects. BACKGROUND

Various physiological biometrics (such as gait related metrics, vocal metrics, and the like) may be predictive of overall health condition and/or presence of specific health issues or diseases. For example, gait related metrics and vocal metrics may be predictive of heat stress. However, collection of biometric data used to generate such physiological biometrics is generally time consuming and cumbersome, such that it is difficult to utilize the physiological biometrics for detecting or determining overall health conditions in real-time or near real-time. BRIEF SUMMARY

In one embodiment, a method is disclosed that includes collecting first biomarker-related data of a subject from a first sensor and second biomarker-related of the subject from a second sensor, the first biomarker-related data being tagged with a first time of collection of the first biomarker-related data from the first sensor, the second biomarker-related data being tagged with a second time of collection of the second biomarker-related data from the second sensor; generating a first physiological biomarker using the first biomarker-related data and a second physiological biomarker using the second biomarker-related data; and determining a health status of the subject based on th

Claims

1. A method comprising: collecting first biomarker-related data of a subject from a first sensor and second biomarker-related of the subject from a second sensor, the first biomarker-related data being tagged with a first time of collection of the first biomarker-related data from the first sensor, the second biomarker-related data being tagged with a second time of collection of the second biomarker-related data from the second sensor; generating a first physiological biomarker using the first biomarker-related data and a second physiological biomarker using the second biomarker-related data; and determining a health status of the subject based on the first physiological biomarker and the second physiological biomarker. || 9. One or more non-transitory computer readable media encoded with instructions which, when executed by one or more processors, cause the one or more processors to: receive a plurality of physiological biomarkers generated based on biomarker-related data collected from a plurality of subjects, the plurality of physiological biomarkers being associated with a plurality of health statuses of the plurality of subjects; identify at least a first physiological biomarker of the plurality of physiological biomarkers and a second physiological biomarker of the plurality of physiological biomarkers associated with a health status of the plurality of health statuses; and generate a machine learning model configured to determine the health status based on input related to the first physiological biomarker and the second physiological biomarker. || 14. A biomarker correlation system comprising: a plurality of sensors configured to collect biomarker-related data from a subject; and one or more processors configured to: receive first biomarker-related data of the subject from a first sensor of the plurality of sensors and second biomarker-related data of the subject from a second sensor of the plurality of sensors, generate a first physiological biomarker using the first biomarker-related data and a second physiological biomarker using the second biomarker-related data, and determine a health status of the subject based on the first physiological biomarker and the second physiological biomarker.