System and Method for Detecting Extremely Low Frequency Electric Fields in the Human Body

• US 20100256508A1
• Filed: 04/01/2009
• Published: 10/07/2010
• Est. Priority Date: 04/01/2009
• Status: Active Grant

• Current Assignee: John Dinwiddie
• Original Assignee: John Dinwiddie
• Inventors: Dinwiddie, John
• Granted Patent: US 7,986,990 B2
• Time in Patent Office: Days
• US Class Current: 600/509
• CPC Class Codes: A61B 5/164 Lie detection
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/416 the spleen

Abstract

A sensor, such as an antenna, detects an electrical sinoatrial signal produced by the human heart. A spectrum analyzer then processes the electrical sinoatrial signal to generate a frequency spectrum comprising a plurality of frequency components associated with different organs. A diagnostic unit then analyzes the frequency spectrum and compares the frequency spectrum to a standardized normal spectrum to determine the condition of the organs. In particular, the amplitude and the bandwidth of the frequency components may be compared to the standardized normal spectrum. The system monitors the relationship between the electromagnetic energy of the heart, organs, limbs, and the brain.

Claims

1. A method for detecting the presence of disease in organs comprising:

detecting an electrical sinoatrial signal produced by a human heart;

processing the electrical sinoatrial signal to generate a frequency spectrum comprising a plurality of frequency components associated with different organs; and

determining the condition of said organs by comparing said spectrum to a standardized normal spectrum associated with healthy organs.

2. The method of claim 1 wherein detecting the electrical sinoatrial signal comprises capacitatively coupling an antenna to a human body and detecting the electrical sinoatrial signal with an extremely low frequency antenna.

3. The method of claim 1 wherein processing the electrical sinoatrial signal comprises converting the electrical sinoatrial signal from a time domain to a frequency domain using Fourier Transform.

4. The method of claim 3 wherein processing the electrical sinoatrial signal further comprises generating the frequency spectrum comprising the plurality of frequency components in a range between 0.1 and 40 hertz.

5. The method of claim 1 further comprising filtering the electrical sinoatrial signal to remove 60 hertz interference.

6. The method of claim 1 further comprising filtering the electrical sinoatrial signal to remove 50 hertz interference.

7. The method of claim 1 wherein determining the condition comprises analyzing an amplitude of at least one of the frequency components in the frequency spectrum.

8. The method of claim 1 wherein determining the condition comprises analyzing a bandwidth of at least one of the frequency components in the frequency spectrum.

9. The method of claim 1 wherein determining the condition comprises analyzing an amplitude and a bandwidth of at least one of the frequency components in the frequency spectrum.

10. A system for detecting the presence of disease in organs comprising:

a sensor for sensing an electrical sinoatrial signal produced by a human heart;

a spectrum analyzer for processing said electrical sinoatrial signal and generating a frequency spectrum based on said electrical sinoatrial signal, said frequency spectrum comprising a plurality of frequency components associated with different organs; and

a diagnostic unit for determining the condition of said organs by comparing said spectrum to a standardized normal spectrum associated with healthy organs.

11. The system of claim 10 wherein the sensor comprises an extremely low frequency antenna.

12. The system of claim 11 wherein the antenna comprises a first conductive element separated from a second conductive element and configured to be capactatively coupled to a human body.

13. The system of claim 10 wherein the spectrum analyzer comprises a Fourier Transform device for converting the electrical sinoatrial signal from a time domain to a frequency domain.

14. The system of claim 13 wherein the Fourier Transform device generates the frequency spectrum comprising the plurality of frequency components in a range between 0.1 and 40 hertz.

15. The system of claim 10 further comprising a filter for removing 60 hertz interference.

16. The system of claim 10 further comprising a filter for removing 50 hertz interference.

17. The system of claim 10 wherein the frequency components in the spectrum have amplitudes characterizing the health of different organs.

18. The system of claim 10 wherein the frequency components in the spectrum have bandwidths characterizing the health of different organs.

19. A method for measuring stress in the human body comprising:

detecting an electrical sinoatrial signal produced by a human heart;

processing the electrical sinoatrial signal to generate a frequency spectrum comprising a plurality of frequency components; and

determining an amount of stress experienced by the human body by comparing said spectrum to a standardized normal spectrum associated with a human body experiencing very low or no stress.

20. The method of claim 19 wherein determining the amount of stress comprises analyzing a separation between the frequency components in the frequency spectrum.