Apparatus and Methods for Estimating Time-State Physiological Parameters

• US 20170079582A1
• Filed: 12/05/2016
• Published: 03/23/2017
• Est. Priority Date: 07/25/2011
• Status: Active Grant

• Current Assignee: Yukka Magic LLC
• Original Assignee: Valencell, Inc.
• Inventors: LeBoeuf, Steven Francis
• Granted Patent: US 9,788,785 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 2562/0271 Thermal or temperature sensors
• CPC Class Codes: A61B 5/0077 Devices for viewing the surface of the body, e.g. camera, magnifying lens
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4857 Indicating the phase of biorhythm clocks or watches with indicators for biological cycles G04B19/264
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/6889 Rooms
• CPC Class Codes: A61B 5/6891 Furniture
• CPC Class Codes: A61B 5/6892 Mats
• CPC Class Codes: A61B 5/6893 Cars

Abstract

A method of determining a value of a physiological parameter for a subject at a selected state includes obtaining, via a device located a distance from the subject, a value of the physiological parameter of the subject at a particular time-of-day, and applying a time-dependent relationship function to the obtained physiological parameter value via a processor to determine a value of the physiological parameter at the selected state.

Claims

1. A method of estimating a value of a physiological parameter for a subject at a selected metabolic state, the method comprising:

obtaining, via a device located a distance from the subject, a value of the physiological parameter of the subject at a time-of-day, wherein the device comprises a sensor configured to measure heart rate, breathing rate, and/or physical activity of the subject, wherein the sensor is an electromagnetic energy sensor, an electrical energy sensor, a magnetic energy sensor, an inductive energy sensor, a capacitive energy sensor, a thermal energy sensor, or an acoustic energy sensor; and

estimating the value of the physiological parameter for the subject at the selected metabolic state by applying a time-dependent relationship function to the obtained physiological parameter value via at least one processor, wherein the selected metabolic state is different from a current metabolic state of the subject.

2. The method of claim 1, wherein the time-dependent relationship function is derived from a circadian rhythm for the subject.

3. The method of claim 1, wherein the time-dependent relationship function is a lookup table.

4. The method of claim 1, wherein the physiological parameter includes one or more of the following:

subject body temperature, subject heart rate, subject heart rate variability, subject blood gas levels, subject metabolic rate, subject respiration rate, subject blood analyte levels, subject blood pressure, and subject pulse pressure.

5. The method of claim 1, wherein estimating the value of the physiological parameter for the subject at the selected metabolic state comprises obtaining the value of the physiological parameter at the same time-of-day for multiple days and determining an average value for the multiple obtained values, and wherein applying the time-dependent relationship function to the obtained physiological parameter value comprises applying the time-dependent relationship function to the average value.

6. The method of claim 1, further comprising determining if the subject is in a condition of heightened activity at the time-of-day by determining via the device if at least one obtained physiological parameter value is at a level associated with heightened activity, and wherein the time-dependent relationship function is adjusted for the heightened activity condition of the subject prior to estimating the value of the physiological parameter at the selected metabolic state.

7. The method of claim 1, wherein prior to obtaining a value of the physiological parameter of the subject at the time-of-day, values of the physiological parameter of the subject are obtained at multiple times during at least one previous day, and a personalized time-dependent relationship function between at least one of value of the physiological parameter and a value of the physiological parameter at the selected metabolic state is generated for the subject using the obtained values from the at least one previous day, and wherein applying the time-dependent relationship function to the obtained physiological parameter value comprises applying the personalized time-dependent relationship function to the obtained physiological parameter value via the at least one processor to estimate the value of the physiological parameter at the selected metabolic state.

8. The method of claim 1, wherein the device further includes an environmental sensor that detects and/or measures environmental condition information in a vicinity of the subject, and further comprising obtaining, via the device, a value of an environmental parameter in a vicinity of the subject at the time-of-day, and wherein applying the time-dependent relationship function to the obtained physiological parameter value comprises applying the time-dependent relationship function and an environmental-dependent relationship function to the obtained physiological parameter value via the at least one processor to estimate the value of the physiological parameter at the selected metabolic state.

9. The method of claim 1, further comprising adjusting the time-dependent relationship function for one or more of the following prior to estimating the value of the physiological parameter at the selected metabolic state:

calories consumed by the subject and blood oxygen level of the subject.

10. The method of claim 1, wherein the selected metabolic state includes one or more of the following:

state of peak metabolism, state of lowered metabolism, state of rest.

11. The method of claim 1, wherein the sensor is a wall-mounted sensor, a bed-mounted sensor, a vehicle-mounted sensor, or a portable sensor.

12. The method of claim 1, wherein the sensor is configured to identify subject motion and to translate identified subject motion to subject activity level.

13. A system, comprising:

a sensor configured to measure heart rate, breathing rate, and/or physical activity of a subject located a distance from the sensor, wherein the sensor is an electromagnetic energy sensor, an electrical energy sensor, a magnetic energy sensor, an inductive energy sensor, a capacitive energy sensor, a thermal energy sensor, or an acoustic energy sensor; and

at least one processor configured to obtain from the sensor a value of a physiological parameter of the subject at a time-of-day, and to estimate a value of the physiological parameter for the subject at a selected metabolic state by applying a time-dependent relationship function to the obtained physiological parameter value, wherein the selected metabolic state is different from a current metabolic state of the subject.

14. The system of claim 13, wherein the at least one processor is configured to:

obtain from the sensor the value of the physiological parameter at the same time-of-day for multiple days;

determine an average value for the multiple obtained values; and

apply the time-dependent relationship function to the average value.

15. The system of claim 13, wherein the at least one processor is configured to:

determine if the subject is in a condition of heightened activity at the selected time-of-day by determining if a heart rate of the subject is at an elevated level; and

adjust the time-dependent relationship function for the elevated heart rate level of the subject prior to estimating the value of the physiological parameter at the selected metabolic state.

16. The system of claim 13, wherein the at least one processor is configured to:

obtain values of the physiological parameter of the subject at multiple times during at least one previous day;

generate a personalized time-dependent relationship function between a measured value of the physiological value and the estimated value of the physiological parameter at the selected metabolic state using the obtained values from the at least one previous day; and

estimate the value of the physiological parameter for the subject at the selected metabolic state by applying the personalized time-dependent relationship function to the obtained physiological parameter value.

17. The system of claim 13, further comprising an environmental sensor that detects and/or measures environmental condition information in a vicinity of the subject, and wherein the at least one processor is configured to obtain a value of an environmental parameter in a vicinity of the subject at the time-of-day from the environmental sensor, and to apply the time-dependent relationship function and an environmental-dependent relationship function to the obtained physiological parameter value to estimate the value of the physiological parameter at the selected metabolic state.

18. The system of claim 13, wherein the at least one processor is configured to adjust the time-dependent relationship function for one or more of the following prior to estimating the value of the physiological parameter at the selected metabolic state:

calories consumed by the subject and blood oxygen level of the subject.

19. The system of claim 13, wherein the at least one processor is configured to adjust the time-dependent relationship function for blood oxygen level of the subject prior to estimating the value of the physiological parameter at the selected metabolic state.

20. The system of claim 13, wherein the sensor is configured to be wall-mounted, bed-mounted, vehicle-mounted, or portable.

21. The system of claim 13, wherein the sensor is configured to identify subject motion and to translate identified subject motion to subject activity level.