Systems and methods for distal control of health effectors

• US 10,350,380 B2
• Filed: 12/17/2015
• Issued: 07/16/2019
• Est. Priority Date: 12/17/2015
• Status: Active Grant

• Current Assignee: Soniphi, LLC
• Original Assignee: Soniphi, LLC
• Inventors: Sanderson, Matthew, Hinds, Mark
• Primary Examiner(s): Cox, Thaddeus B
• Application Number:
  US14/973,413
• Publication Number:
  US 20170173295A1
• Time in Patent Office: 1,307 Days
• CPC Class Codes: A61B 2562/0204 Acoustic sensors
• CPC Class Codes: A61B 5/0051 by applying vibrations
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R
• CPC Class Codes: A61M 2021/0027 by the hearing sense
• CPC Class Codes: A61M 2021/0055 with electric or electro-magnetic fields
• CPC Class Codes: A61M 2021/0072 with application of electrical currents
• CPC Class Codes: A61M 21/00 Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• CPC Class Codes: A61M 2205/3375 Acoustical, e.g. ultrasonic, measuring means

Abstract

A system for improving a health status of a person by analyzing and applying frequency information at a person is disclosed. The frequency information could be collected from an audio sample, or could be collected via feedback frequencies occurring when a test frequency is applied at the person. The system analyzes the collected frequency information to determine a status of the patient, for example a fundamental frequency of the person and/or a weak frequency of the person. Based upon the frequency information, the system generates a protocol to implement one or more frequencies at the person, for example sonic frequencies, light frequencies, and/or vibrational frequencies. Depending upon which frequencies are implemented, the state of the person can be improved.

Claims

1. A method for analyzing and improving a health status of a person, comprising:

transmitting a first protocol to a control module that implements a first frequency at a first duration via at least one of an audio speaker, a light source, a vibrational source, or a Scalar wave device at the person;

receiving a first set of frequency feedback information from the control module, wherein the frequency feedback information is derived from at least one of bio-acoustic information, bio-vibrational information, or bio-luminescent information;

comparing a pattern signature in the frequency feedback information to a pattern signature in a database associated with the person;

using a portion of the first set of frequency feedback information to derive a fundamental frequency of the person;

wherein deriving the fundamental frequency comprises deriving the fundamental frequency as a strongest whole-number frequency detected within the portion of the first set of frequency feedback information;

using the portion of the first set of frequency feedback information and the derived fundamental frequency to develop a second protocol that implements a second frequency and a corresponding second duration; and

transmitting at least a portion of the second protocol to the control module to implement the second frequency via at least one of an audio speaker, a light source, a vibrational source, or a Scalar wave device at the corresponding second duration at the person.

2. The method of claim 1, further comprising a sensor, wherein the sensor comprises a cellular phone.

3. The method of claim 1, further comprising a sensor, wherein the sensor comprises a wearable device.

4. The method of claim 1, further comprising receiving, via the control module, a full spectral analysis of the first set of frequency feedback information.

5. The method of claim 1, wherein the portion of the first set of frequency feedback information comprises a highest dB reading.

6. The method of claim 1, wherein the portion of the first set of frequency feedback information comprises a lowest dB reading.

7. The method of claim 1, wherein the portion of the first set of frequency feedback information comprises cumulative octave readings.

8. The method of claim 1, wherein the portion of the first set of frequency feedback information comprises harmonic readings.

9. The method of claim 1, wherein the portion of the first set of frequency feedback information comprises frequency groupings.

10. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to derive the fundamental frequency comprises deriving the fundamental frequency as a function of the first frequency and the corresponding first duration.

11. The method of claim 10, wherein the first frequency is the fundamental frequency.

12. The method of claim 10, wherein the first frequency is a harmonic of the fundamental frequency.

13. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to derive the fundamental frequency comprises deriving the fundamental frequency as a strongest frequency detected within the portion of the first set of frequency feedback information.

14. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol that implements the second frequency and the corresponding second duration comprises deriving the second frequency as a resonance frequency of the person.

15. The method of claim 14, further comprising deriving a feedback frequency from the first set of feedback frequency information, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol that implements the second frequency and the corresponding second duration comprises deriving the second frequency as a frequency between the first frequency and the derived feedback frequency.

16. The method of claim 15, wherein the second frequency splits a difference between the first frequency and the derived feedback frequency.

17. The method of claim 1, further comprising, implementing, by the control module and in response to the first protocol, the first frequency via different modalities.

18. The method of claim 1, further comprising, implementing, by the control module and in response to the first protocol, the first frequency to target a first portion of the person'"'"'s body.

19. The method of claim 1, further comprising, implementing, by the control module and in response to the first protocol, the first frequency to target multiple portions of the person'"'"'s body.

20. The method of claim 1, further comprising using the portion of the first set of frequency feedback information to develop the second protocol to implement the second frequency and the corresponding second duration to target a second portion of the person'"'"'s body.

21. The method of claim 1, further comprising, implementing, by the control module and in response to the first protocol, the first frequency at a corresponding duty cycle.

22. The method of claim 1, further comprising using, by the control module, the portion of the first set of frequency feedback information to diagnose a disease state of the person, wherein the first protocol is a function of the disease state.

23. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol comprises emitting the first frequency as a sonic frequency.

24. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol comprises emitting the first frequency as a light frequency.

25. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol comprises emitting the first frequency as a tactilely sensible vibrational frequency.

26. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol comprises emitting the first frequency as a pulsed electromagnetic field (PEMF) frequency.

27. The method of claim 1, wherein the step of using the portion of the first set of frequency feedback information to develop the second protocol comprises emitting the first frequency as a Scalar wave frequency.

28. The method of claim 1, further comprising:

receiving a second set of frequency feedback information from the control module;

using a portion of the second set of frequency feedback information to develop a third protocol that implements a third frequency and a corresponding third duration; and

transmitting at least a portion of the third protocol to the control module at the person that implements the third frequency at the corresponding third duration.

29. The method of claim 28, wherein the step of using the portion of the second set of frequency feedback information to develop the third protocol comprises comparing the portion of the second set of frequency feedback information against the portion of the first set of frequency feedback information to develop the second protocol.

30. The method of claim 28, further comprising saving the portion of the second set of frequency feedback information to the database to provide a historical frequency map of the person.

31. The method of claim 28, further comprising saving an analysis of the portion of the second set of frequency feedback information to the database to provide a historical frequency map of the person.

32. The method of claim 31, wherein the step of saving the analysis of the portion of the second set of frequency feedback information to the database comprises saving the analysis of the portion as molecular weight and frequency correlations.

33. The method of claim 31, wherein the step of saving the analysis of the portion of the second set of frequency feedback information to the database comprises saving the analysis of the portion as genetic code and wavelength correlations.

34. The method of claim 31, wherein the step of saving the analysis of the portion of the second set of frequency feedback information to the database comprises saving the analysis of the portion as light emission spectral analysis data.