US 12,394,522 B2
System, apparatus, and methods for health monitoring
Alireza Ghodrati, Hopkinton, MA (US); and Alireza Mahmoudieh, Merced, CA (US)
Assigned to INTELLICARE TECHNOLOGIES LLC, Hopkinton, MA (US)
Filed by IntelliCare Technologies LLC, Hopkinton, MA (US)
Filed on Mar. 17, 2022, as Appl. No. 17/697,563.
Application 17/697,563 is a continuation in part of application No. 16/874,303, filed on May 14, 2020, abandoned.
Claims priority of provisional application 63/255,798, filed on Oct. 14, 2021.
Claims priority of provisional application 63/162,888, filed on Mar. 18, 2021.
Claims priority of provisional application 62/847,573, filed on May 14, 2019.
Prior Publication US 2022/0351852 A1, Nov. 3, 2022
Int. Cl. G16H 40/67 (2018.01); A61B 5/00 (2006.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/30 (2018.01)
CPC G16H 40/67 (2018.01) [A61B 5/0002 (2013.01); A61B 5/7275 (2013.01); A61B 5/746 (2013.01); G16H 20/10 (2018.01); G16H 40/20 (2018.01); G16H 50/30 (2018.01)] 12 Claims
OG exemplary drawing
 
1. A health monitoring system comprising:
a plurality of sensors configured to measure at least one parameter relating to a condition of a subject, wherein:
the plurality of sensors includes a blood pressure measurement device and a movement sensor;
the blood pressure measurement device is configured to generate health data including blood pressure raw data; and
the movement sensor is configured to generate behavioral data including data corresponding to body movements of the subject; and
a health monitoring module in communication with the plurality of sensors and including an automated data collection module that is configured to control automated measurements by at least a first sensor of the plurality of sensors, wherein:
the health monitoring module is configured to:
receive from the plurality of sensors measurement data including the health data and the behavioral data;
determine a reliability of the measurement data based on a total confidence factor and at least one of a variance of the health data and a variance of the behavioral data; and
based on the measurement data and the reliability of the measurement data,
determine a state of a disease of the subject;
and wherein:
the total confidence factor is determined based on at least one of a raw data confidence factor, a behavior confidence factor, and a physiological confidence factor;
the raw data confidence factor is determined based on a regularity of the blood pressure raw data;
the behavior confidence factor is determined based on the body movements within a time period before the measurement; and
the physiological confidence factor is determined based on a probability density function for a general population and corresponding to the measurements;
the automated data collection module is configured to trigger an action by the first sensor based on the reliability of the measurement data and the state of the disease; and
the action includes triggering a new automatic measurement by the first sensor or changing a frequency of automatic measurements by the first sensor.