Non-invasive scanning apparatuses

• US 8,647,272 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, Mastin, Peter F., Iverson, Mark Norman, Sanner, Rick Eugene, Hutchinson, Martin Albert
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): WESTON, TIFFANY C
• Application Number:
  US12/621,470
• Publication Number:
  US 20100065751A1
• 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 2562/182 Electrical shielding, e.g. using a Faraday cage
• 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
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6838 Clamps or clips

Abstract

Systems and methods for non-invasively scanning and analyzing one or more characteristics of a sample utilizing electromagnetic radiation are described. More particularly, the systems and methods utilize an electromagnetic radiation source connected to a transmitter and an analyzer connected to a receiver. A sample to be analyzed is placed between the transmitter and receiver in a variety of different manners and a frequency sweep of electromagnetic radiation is transmitted through the sample to create a series of spectral data sets that are used to create one or more composite spectrograms, which are then analyzed to determine one or more characteristics of the sample. A magnetic field can alternatively be applied around the transmitter, receiver and sample to enhance some characteristic analysis applications. Samples include inert and living items, and the characteristics include a wide variety of different applications.

Claims

1. A sample scanning and analysis system comprising:

a sample module for holding a sample to be scanned;

a scanner module for scanning said sample, including a transmitter for transmitting a series of separately transmitted electromagnetic signals, each signal of 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, and generating a series of spectral data sets representing at least a scanned amplitude of each signal of 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; and

an analyzer module including 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 composite spectrograms to recognize one or more patterns within said composite spectrograms directly representing one or more characteristics of said sample, and making a determination regarding said characteristics based on said patterns.

2. The sample scanning and analysis system of claim 1, wherein said scanner module measures a real and an imaginary component of said series of separately transmitted electromagnetic signals transmitted and a real and an imaginary component of said series of separately transmitted electromagnetic signals received.

3. The sample scanning and analysis system of claim 1, wherein said series of separately transmitted electromagnetic signals transmitted by said transmitter node are within a range of frequencies between about 0.3 MHz and about 20.1 GHz.

4. The sample scanning and analysis system of claim 1, wherein said sample is a human finger and wherein said one or more characteristics is a level of glucose in said human finger.

5. A method for determining a characteristic of a sample, comprising:

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

making a determination regarding said characteristic based on said patterns.

6. The method of claim 5, further comprising:

measuring real 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.

7. The method of claim 6, further comprising:

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.

8. The method of claim 7, wherein said sample is at least a portion of a human.

9. The method of claim 8, wherein said characteristic is glucose level.

10. The method of claim 9, further comprising:

developing a set of measurements for different glucose levels including;

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 sample module for scanning;

having said human drink a highly sweetened liquid to cause said human'"'"'s glucose levels 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 sample module for scanning; and

testing a third glucose level in said human after said human'"'"'s glucose level 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 sample module for scanning, thereby developing a set of measurements corresponding to low, high and normal glucose levels in said human.

11. The method of claim 10, further comprising:

measuring an unknown glucose level in said human including;

placing at least said portion of said human into said sample 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 of 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.

12. The method of claim 9, further comprising,

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 said human'"'"'s temperature, hematocrit levels, and blood pressure that occur in response to said human drinking said highly sweetened liquid.

13. The method of claim 5, wherein said step of analyzing includes comparing said composite spectrograms against a library of known substances.

14. The method of claim 5, wherein said sample is at least a portion of a human, wherein said characteristic is an identity of said human, and wherein step of making said determination includes identifying said human from a number of other humans having patterns stored in said memory.

15. The method of claim 14, further consisting of an enrollment phase wherein said number of other humans and said human have patterns developed that are stored in said memory.