Granted Patent B1

US 12,708,292 · App. 18/067,554 · Granted Aug 18, 2026

Inventors: Olivia Fox Cotton (Centerville, OH); Lisa Lucia (West Roxbury, MA); Jordan Coker (Auburn, AL)

Assignee: Aptima, Inc.

A61B5/14546A61B5/1455A61B2503/20

Abstract

Claims (63)

1 . A state assessment system configured to determine a state of a subject,

the state assessment system comprising:

a physiological sensor comprising an fNIRS sensor configured to communicate a physiological data of a subject;

an additional sensor configured to communicate a cardiac data of the subject;

an analytics subsystem configured to determine a state of the subject from the physiological data and the cardiac data;

the fNIRS sensor comprises:

one or more LED, and

one or more photodetector; and

the analytics subsystem comprises:

a hemoglobin estimation module configured to determine a hemoglobin measure from the physiological data of the subject,

a neurocognitive measure module configured to determine a neural activation measure from the hemoglobin measure,

a heart rate measure module configured to determine a heart rate measure from the cardiac data of the subject,

a physiology/state model configured to define a relationship between the neural activation measure and a cognitive state measure, and

a cognitive state measure module configured to determine the state of the subject based on the cognitive state measure and the heart rate measure.

2 . The state assessment system of claim 1 wherein the state of the subject comprises an objective measure of a workload measure.

3 . The state assessment system of claim 1 wherein the state of the subject comprises an objective measure of one of the group of objective measures consisting of:

a vigilance measure;

a response inhibition measure; and

a resilience measure.

4 . The state assessment system of claim 2 wherein an attention measure and the workload measure are used to define a preparedness measure.

5 . A method of training a physiology/state model for use to determine a state of a subject based on a physiological data of the subject, the method comprising:

defining a state of the subject as an attention measure and a workload measure;

defining the physiological data as a neural activation of the subject;

placing a sensor on the subject to measure the neural activation of the subject;

defining an objective relationship of the attention measure to the neural activation of the subject over a time period by performing a Continuous Performance Test (CPT) on the subject and measuring the neural activation of the subject over the time period; and

defining an objective relationship of the workload measure to the neural activation of the subject over a second time period by performing an n-back task on the subject and measuring the neural activation of the subject over the second time period.

6 . The method of claim 5 wherein the objective relationship of the attention measure to the neural activation of the subject over the time period and the objective relationship of the workload measure to the neural activation of the subject over a second time period are defined by a machine learning algorithm.

7 . The method of claim 5 wherein the attention measure comprises a vigilance measure and a response inhibition measure.

8 . The method of claim 5 wherein the n-back task comprises one or more NASA Task Load Index task.

9 . The method of claim 5 further comprising;

placing a second sensor on the subject to measure the a heartrate measure of the subject; and

the physiological data further comprises the heartrate measure of the subject.

10 . The method of claim 5 further comprising:

placing a second sensor on the subject to measure a respiration measure; and

the physiological data further comprises the respiration measure of the subject.

11 . The method of claim 5 further comprising:

placing a second sensor on the subject to measure a hydration measure the subject; and

wherein the physiological data further comprises the hydration measure of the subject.

12 . The method of claim 5 further comprising:

placing a second sensor on the subject to measure a blood oxygen saturation measure of the subject; and

wherein the physiological data further comprises the blood oxygen saturation measure of the subject.

13 . The method of claim 5 wherein the physiological data further comprises at least one selected from the group of measures consisting of:

a heartrate measure of the subject;

a hydration measure the subject;

a hydration measure the subject; and

a blood oxygen saturation measure of the subject.

14 . A state assessment system configured to determine a state of a subject, the state assessment system comprising:

a physiological sensor comprising an fNIRS sensor configured to communicate a physiological data of a subject;

an additional sensor configured to communicate a cardiac data of the subject;

an analytics subsystem configured to determine a state of the subject from the physiological data and the cardiac data;

the fNIRS sensor comprises:

one or more LED, and

one or more photodetector; and

the analytics subsystem comprises:

a hemoglobin estimation module configured to determine a hemoglobin measure from the physiological data of the subject,

a neurocognitive measure module configured to determine a neural activation measure from the hemoglobin measure,

a heart rate measure module configured to determine a heart rate measure from the cardiac data of the subject,

a physiology/state model configured to define a relationship between the neural activation measure and a cognitive state measure,

a cognitive state measure module configured to determine the state of the subject based on the cognitive state measure and the heart rate measure, and

the state of the subject comprises an objective measure of one of the group of objective measures consisting of:

a vigilance measure,

a response inhibition measure, and

a resilience measure.

Assignments (2)

Continuity (1)

References Cited (37)