Non-invasive weight and performance management

• US 8,647,273 B2
• Filed: 11/18/2009
• Issued: 02/11/2014
• Est. Priority Date: 06/21/2007
• Status: Active Grant

• Current Assignee: RF Science & Technology, Inc.
• Original Assignee: RF Science & Technology, Inc.
• Inventors: Harra, David James, Fuzell, Jacquelyn, Casey, Timothy Daniel
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): WESTON, TIFFANY C
• Application Number:
  US12/621,475
• Publication Number:
  US 20100069731A1
• Time in Patent Office: 1,546 Days
• Field of Search: 600/365, 600/407, 600410-411, 356/436, 356/440, 356/39, 25033901-33912
• US Class Current: 600/365
• CPC Class Codes: A61B 5/05 Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves impedance plethysmography A61B5/0295; measuring movement of the entire body or parts thereof A61B5/11; detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof A61B5/24
• CPC Class Codes: A61B 5/0507 using microwaves or terahertz waves
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/411 Detecting or monitoring allergy or intolerance reactions to an allergenic agent or substance

Abstract

Systems and methods for weight and performance management are described. More particularly, an embodiment relates to a system and method of employing a non-invasive, real-time, continuous blood glucose monitoring device to measure glucose levels in a subject. The determined levels are subsequently used to manage the subject'"'"'s caloric intake and utilization multiple times during the course of a day.

Claims

1. A method for assisting a subject to manage a weight of the subject, comprising the steps of:

transmitting a series of separately transmitted electromagnetic signals over a range of distinct frequencies from a transmitter through a finger of the subject to a receiver to create a series of corresponding spectral data sets including each of the separately transmitted electromagnetic signals received by the receiver;

developing the series of corresponding spectral data sets into one or more composite spectrograms including each of the separately transmitted electromagnetic signals received by the receiver;

analyzing the one or more composite spectrograms to recognize a series of patterns within the one or more composite spectrograms that directly represent a glucose level in the subject;

repeating the steps of transmitting, developing, and analyzing to obtain a series of glucose levels in the subject over a period of time; and

utilizing the series of glucose levels to determine a record of caloric intake and caloric output that will assist the subject in managing the subject'"'"'s weight of the subject.

2. A method for evaluating a compliance of a subject with a weight management program by monitoring a characteristic in said subject, comprising the steps of:

placing a sample of the subject in a sample holder;

scanning said sample with a scanner module, wherein said scanner module includes a transmitter for transmitting a series of separately transmitted electromagnetic signals, each signal in said series of separately transmitted electromagnetic signals having a transmitted amplitude over a plurality of sample points within a range of distinct frequencies, and a receiver for receiving said series of separately transmitted electromagnetic signals as said series of separately transmitted electromagnetic signals are reflected from or transmitted through said sample;

generating a series of spectral data sets representing at least a scanned amplitude of each signal in said series of separately transmitted electromagnetic signals over said plurality of sample points, said scanner module including a transmitter node having a first dipole antenna connected to said transmitter and a receiver node having a second dipole antenna connected to said receiver,

said scanner module including a base formed to hold said transmitter node and said receiver node close to or in contact with said sample;

determining said characteristic of said sample with an analyzer module, wherein said analyzer module includes a memory and a processor for generating one or more composite spectrograms from said series of spectral data sets including each signal in said series of separately transmitted electromagnetic signals;

analyzing said one or more composite spectrograms to recognize one or more patterns within said one or more composite spectrograms directly representing said characteristic of said sample;

making a determination regarding said characteristic based on said one or more patterns;

repeating the placing the sample step to the making a determination step to obtain a series of glucose levels in said subject over a period of time; and

utilizing the series of glucose levels to determine a record of caloric intake and caloric output that will assist said subject in managing a weight of said subject.

3. The method as recited in claim 2, further comprising the step of measuring real components and imaginary components of said series of separately transmitted electromagnetic signals received, wherein said real components represent purely resistive properties of said sample and wherein said imaginary components represent capacitive and inductive properties of said sample.

4. The method as recited in claim 3, further comprising the steps of:

registering a known first sample with said analyzer module based on a variety of known conditions; and

analyzing a second sample to determine an unknown condition for said second sample, wherein said unknown condition is one that was registered with said analyzer module using said known first sample.

5. The method as recited in claim 4, wherein said sample is at least a portion of a human.

6. The method as recited in claim 5, wherein said characteristic is a glucose level.

7. The method as recited in claim 6, further comprising the steps of:

developing a set of measurements for different glucose levels comprising, testing a first glucose level in said human after fasting with a traditional glucose meter using a first finger of said human, then placing a second finger of said human into said scanner module for scanning;

having said human drink a highly sweetened liquid to cause a glucose level of said human to rise;

testing a second glucose level in said human after consumption of said highly sweetened liquid with said traditional glucose meter using said first finger of said human, then placing said second finger of said human into said scanner module for scanning; and

testing a third glucose level in said human after said glucose level of said human has returned to a normal level with said traditional glucose meter using said first finger of said human, then placing said second finger of said human into said scanner module for scanning,

thereby developing a set of measurements corresponding to low, high and normal glucose levels in said human.

8. The method as recited in claim 7, further comprising the step of measuring an unknown glucose level in said human, the step of measuring an unknown glucose level comprising the steps of:

placing at least said portion of said human into said scanner module for scanning;

scanning said portion of said human to develop a series of spectral data sets for said human;

generating said composite spectrograms from said series of spectral data sets for said human;

making a determination of said unknown glucose level in said human from said composite spectrograms;

correlating said determination with said set of measurements corresponding to low, high and normal glucose levels in said human; and

identifying said unknown glucose level in said human based on the correlating step.

9. The method as recited in claim 6, further comprising the step of applying a correction factor application, wherein said application uses different measured scan parameters to compensate for changes to analytes other than glucose that occur in response to said human drinking said highly sweetened liquid;

and/or wherein said application uses different measured scan parameters to compensate for changes to a temperature of said human, hematocrit levels, and blood pressure that occur in response to said human drinking said highly sweetened liquid.

10. The method as recited in claim 2, wherein said step of analyzing includes comparing said one or more composite spectrograms against a library of known substances.

11. The method as recited in claim 2, wherein said sample is at least a portion of a human, wherein said characteristic is the glucose level of said human, and wherein the step of making said determination includes determining the glucose level of said human from a number of other glucose level patterns for said human stored in said memory.

12. The method as recited in claim 2, further comprising the step of determining a reference range of glucose amounts or concentrations that correspond to achieving a weight management goal in the subject.

13. The method as recited in claim 12, wherein said reference range is a range of glucose amounts or concentrations comprising a high threshold glucose value and a low threshold glucose value.

14. The method as recited in claim 12, further comprising the step of determining rates of change of glucose concentrations in the subject.

15. The method as recited in claim 12, further comprising the step of inputting the caloric intake record, wherein said caloric intake record is compared to the reference range of glucose amounts or concentrations to evaluate compliance with the reference range of glucose amounts or concentrations to achieve the weight management goal of the subject.

16. The method as recited in claim 15, further comprising the step of sharing said caloric intake record with a third party software product.

17. The method as recited in claim 12, further comprising the step of inputting a caloric output record, wherein said caloric output record is compared to the reference range of glucose amounts or concentrations to evaluate compliance with the reference range of glucose amounts or concentrations to achieve the weight management goal of the subject.

18. The method as recited in claim 17, further comprising the step of sharing said caloric output record with a third party software product.

19. The method as recited in claim 2, further comprising the step of providing said subject an alert when a condition is met.

20. The method as recited in claim 19, wherein said condition is when glucose levels need to be checked.

21. The method as recited in claim 20, wherein said condition is when glucose levels exceed predetermined threshold values.

22. The method as recited in claim 20, wherein said condition is when glucose levels change at a rate faster than a predetermined rate of change.

23. The method as recited in claim 20, wherein said condition is when a predicted glucose value for a later time point falls outside of a predetermined range.

24. The method as recited in claim 19, wherein said alert is an auditory alert.

25. The method as recited in claim 2, wherein said weight management program is used for monitoring weight gain in the subject.

26. The method as recited in claim 2, wherein said weight management program is used for monitoring weight reduction in the subject.

27. The method as recited in claim 2, wherein said weight management program is used for monitoring weight maintenance in the subject.

28. A method for performance management in a subject during exercise, training or competition by monitoring one or more characteristics in said subject comprising,

placing a sample of said subject in a sample holder;

scanning said sample with a scanner module, wherein said scanner module includes a transmitter for transmitting a series of separately transmitted electromagnetic signals, each signal in said series of separately transmitted electromagnetic signals having a transmitted amplitude over a plurality of sample points within a range of distinct frequencies, and a receiver for receiving said series of separately transmitted electromagnetic signals as said series of separately transmitted electromagnetic signals are reflected from or transmitted through said sample;

generating a series of spectral data sets representing at least a scanned amplitude of each signal in said series of separately transmitted electromagnetic signals over said plurality of sample points, said scanner module including a transmitter node having a first dipole antenna connected to said transmitter and a receiver node having a second dipole antenna connected to said receiver, said scanner module including a base formed to hold said transmitter node and said receiver node close to or in contact with said sample;

determining said one or more characteristics of said sample with an analyzer module, wherein said analyzer module includes a memory and a processor for generating one or more composite spectrograms from said series of spectral data sets including each signal in said series of separately transmitted electromagnetic signals;

analyzing said one or more composite spectrograms to recognize one or more patterns within said one or more composite spectrograms directly representing said one or more characteristics of said sample;

making a determination regarding said one or more characteristics based on said one or more patterns;

repeating the steps of placing the sample step to the making a determination step to obtain a series of glucose levels in said subject over a period of time; and

utilizing the series of glucose levels to determine a record of caloric intake and caloric output that will assist said subject in managing a weight of said subject.

29. The method as recited in claim 28, wherein said one or more characteristics is lipid level.

30. The method as recited in claim 29, wherein said one or more characteristics is glycogen level.

31. The method as recited in claim 29, wherein said one or more characteristics is glucose level.

32. The method as recited in claim 29, wherein said one or more characteristics are electrolyte levels.