SYSTEM METHOD AND DEVICE FOR DETERMINING THE RISK OF DEHYDRATION

• US 20160066840A1
• Filed: 11/18/2015
• Published: 03/10/2016
• Est. Priority Date: 06/07/2010
• Status: Abandoned Application

• Current Assignee: Zephyr Technology Corporation (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: RUSSELL, BRIAN KEITH
• Application Number:
  US14/944,600
• Publication Number:
  US 20160066840A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2560/0475 Special features of memory means, e.g. removable memory cards
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14507 specially adapted for measuring characteristics of body fluids other than blood devices for taking samples of body liquids A61B10/0045
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4266 sweat secretion
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424
• CPC Class Codes: A61B 5/7271 Specific aspects of physiological measurement analysis A61B5/316, A61B5/349 and A61B5/374 take precedence
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 : for calculating health indices; for individual health risk assessment

Abstract

A system, device and method of determining a probability of dehydration of a person is provided. In one embodiment, the method comprises receiving data of a heart rate of the person; receiving data of a posture of the person; determining that a first posture of the person satisfies first posture criteria for a first predetermined time period; determining that the posture of the person satisfies a similarity threshold with a posture envelope; determining a first heart rate for the person while in a first posture; determining a second heart rate for the person while in the second posture; determining a change in heart rate as a difference between the second heart rate and the first heart rate; determining a first probability of dehydration based at least in part on the change in heart rate; and outputting the first probability of dehydration.

Claims

1. A method of determining a probability of dehydration of a person, comprising:

receiving data of a heart rate of the person over a time period from a first sensor;

receiving data of a posture of the person over the time period from a second sensor;

storing in a memory data of the heart rate of the person over the time period;

storing in the memory data of the posture of the person over the time period;

determining, via a processor, that the posture of the person during the time period satisfies a similarity threshold with a posture envelope, wherein the posture envelope comprises a first posture and a second posture;

determining, via the processor, a first heart rate for the person while in the first posture;

determining, via the processor, a second heart rate for the person while in the second posture;

determining, via the processor, a change in heart rate as a difference between the second heart rate and the first heart rate;

determining, via the processor, a first probability of dehydration based, at least in part, on the change in heart rate; and

outputting the first probability of dehydration.

2. The method according to claim 1, wherein said determining the first probability of dehydration comprises dividing the change in heart rate by a baseline change in heart rate.

3. The method according to claim 1, further comprising determining a second probability of dehydration by comparing the second heart rate with a predetermined threshold.

4. The method according to claim 1, wherein said first posture comprises sitting.

5. The method according to claim 1, wherein said first posture comprises one of sitting or lying down, and wherein said second posture comprises standing.

6. The method according to claim 1, further comprising determining that an activity level of the person is below a threshold level while the person maintains the second posture.

7. The method according to claim 1, further comprising determining that the person transitions from the first posture to the second posture within a predetermined time period.

8. The method according to claim 1, further comprising:

determining a second probability of dehydration by comparing the second heart rate with a predetermined threshold; and

outputting a signal configured to alert the person of the probability of dehydration when the second probability of dehydration exceeds a dehydration risk threshold and when the second heart rate is below the predetermined threshold.

9. The method according to claim 8, wherein the outputted signal comprises any of an alert transmitted to a remote monitor, a locally broadcasted audible alarm, or a combination thereof.

10. The method according to claim 8, further comprising:

determining the dehydration risk threshold based at least in part on a desired risk of dehydration level input by the person.

11. The method according to claim 1, wherein the first heart rate and the second heart rate comprise an average first heart rate and an average second heart rate, respectively, over the time period.

12. The method according to claim 1, further comprising:

comparing the first probability of dehydration with a dehydration risk threshold; and

outputting a signal configured to alert the person of the first probability of dehydration based at least in part on the comparing.

13. The method according to claim 1, wherein said determining the first probability of dehydration comprises:

determining a baseline change in heart rate based at least in part on at least one of an age, a weight, a gender, a fitness level, an ambient temperature associated with the person, or a combination thereof; and

dividing the change in heart rate by the baseline change in heart rate.

14. The method according to claim 13, further comprising:

determining the baseline change in heart rate based on crowd sourced data.

15. The method according to claim 1, further comprising:

determining, using data received from at least a third sensor coupled with the body of the person, that the person is experiencing panic or is perspiring, or determining an activity level of the person during the time period; and

preventing a signal configured to alert the person of the first probability of dehydration from being output when the person is experiencing panic or is perspiring.

16. The method according to claim 15, further comprising:

preventing the signal from being output when the activity level of the person is elevated above the activity threshold due to exercise.

17. The method according to claim 1, wherein determining the second heart rate for the person comprises:

determining the second heart rate for the person only after the person has maintained the second posture for a predetermined time period.

18. A system for determining a probability of dehydration of a person, comprising:

a first sensor configured to receive data of a heart rate of the person over a time period;

a second sensor configured to receive data of a posture of the person over the time period;

a memory configured to store data of the heart rate of the person over the time period, and further configured to store the data of the posture of the person over the time period; and

a processor configured to;

determine that the posture of the person during the time period satisfies a similarity threshold with a posture envelope, wherein the posture envelope comprises a first posture and a second posture;

determine a first heart rate for the person while in the first posture;

determine a second heart rate for the person while in the second posture;

determine a change in heart rate as a difference between the second heart rate and the first heart rate; and

output the first probability of dehydration.

19. The system according to claim 18, the processor being further configured to:

divide the change in heart rate by a baseline change in heart rate; and

determine the first probability of dehydration based at least in part on the dividing.

20. The system according to claim 18, the processor being further configured to:

compare the second heart rate with a predetermined threshold; and

determine a second probability of dehydration based at least in part on the comparing.