System and Methods for Indicating Pre-Sympomatic Adverse Conditions in a Human

Patent metadata

Field	Value
Publication number	US-2022151569-A1
Application number	US-202117525887-A
Country	US
Kind code	A1
Filing date	Nov 13, 2021
Priority date	Nov 13, 2020
Publication date	May 19, 2022
Grant date	—

Abstract

A method and a system analyze an individual's physiological data to identify aberrant vital-signs patterns and estimate an infection probability. The identification includes determining a score based on the current vital-sign measurements, and the mean and standard deviation of baseline vital-signs values. In one embodiment, the mean and the standard deviation are selected based on the corresponding baseline time window and activity bin of the current vital-sign measurement. The score is identified as normal when between two thresholds and aberrant outside of those two thresholds. Estimation of infection probability pt, at monitoring time t, is a recursive estimate of the infection probability of infection pt:pt=11+(phpi)n⁢(1-ph1-pi)k⁢(1pt-1-1)where ph and pi, respectively, represent the probability of observing aberrant vital-signs in healthy and infected individuals, and n and k, respectively, represent the number of aberrant and normal scores in the monitoring time window. In one implementation, the vital-sign used is the individual's heart rate.

First claim

What is claimed is:

1 . A method for determining a probability of an infection for an individual using a baseline mean, a baseline standard deviation and a threshold for a heart rate of the individual being monitored, the method comprising:
collecting heart rate data and activity information for the individual for a monitoring time window using at least one sensor adapted to be worn by the individual; converting the collected activity information to an activity level for the monitoring time window; selecting a time window and activity bin based on the activity level and the monitoring time window for the collected heart rate data from at least one sensor; calculating a heart rate score based on the heart rate data for the monitoring time window and the baseline mean and the baseline standard deviation for the selected bin; classifying the heart rate score as normal or aberrant based on how the heart rate score compares with the threshold; calculating a probability using the classification as normal/aberrant, aberrant heart rate probabilities for a healthy person and an infected person, and after the first probability calculation, the previous probability; providing the probability to the individual and/or another individual to alert at least one of the individuals of the likelihood of the infection when the probability exceeds a probability threshold, the individual and/or the other individual acts in response to the provided probability; and repeating the above steps for at least one more monitoring time window.

2 . The method according to claim 1 , wherein the individual acts by obtaining a medical diagnostic test, obtaining a medical examination, and/or isolating, and/or the other individual acts by adjusting a work schedule for the individual and/or coworkers of the individual.

3 . The method according to claim 1 , further comprising when the monitoring time window includes activity for the individual from multiple activity levels, subdividing the monitoring time window based on those activity levels and calculating the heart rate score for each subdivision to determine whether each subdivision is aberrant or normal, and
wherein the total number of aberrant or normal determinations for one monitoring time window is between 1 and the number of activity levels.

4 . The method according to claim 1 , wherein the probability threshold is set at a level appropriate for an infection frequency in an area in which the individual is present such that the probability threshold is the lower of 50% or 100% minus a current infection rate.

5 . The method according to claim 1 , wherein the heart rate score S is

S
⁡

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=

H
⁢

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⁡

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-

m
⁡

(

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j

)

S
⁢

D
⁡

(

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i

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a
j

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where t i is the monitoring time window i in a day, a j is the activity level j, HR is a mean of the heart rates based on heart rate data for that time window and activity level, and for the selected bin, m is the baseline mean and SD is the baseline standard deviation.

6 . The method according to claim 1 , wherein the probability is

p
t

=

1

1
+

(

p
h

p
i

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n

⁢

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1
-

p
h

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k

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1

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1

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where p h is a probability to observe an aberrant heart rate in a healthy subject, p i is a probability to observe an aberrant heart rate in an infected subject, t is the monitoring time window, and n and k, respectively, are the number of aberrant and normal heart rates observed in the monitoring time window.

7 . The method according to claim 6 , wherein the monitoring time window has a length equal to 15 minutes, 30 minutes, 45 minutes,

Assignees

• Us Gov Sec Army

Inventors

• Reifman Jaques
• Chaudhury Sidhartha
• Yu Chenggang
• Hornby Samantha L

Classifications

• A61B2562/0219

  Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches · CPC title

• A61B5/7275 Primary

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61B5/681

  Wristwatch-type devices · CPC title

• A61B5/02438 Primary

  with portable devices, e.g. worn by the patient · CPC title

• A61B5/742

  using visual displays (displays for heart-related electrical signals, e.g. ECG, A61B5/339) · CPC title