Systems And Methods For Distal Control of Health Effectors
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 receives one or more characteristics of the person, transmits a first protocol to a control module, and receives a first set of frequency feedback information from the control module. Using a portion of the first set of frequency feedback information, the system derives a fundamental frequency of the person. The fundamental frequency is compared to the fundamental frequency to other persons with similar characteristics in a historical frequency dataset, wherein the historical frequency dataset comprises an ideal frequency dataset. In response to the comparison, the system develops a second protocol that implements a second frequency and a corresponding second duration.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for analyzing and improving a health status of a person, comprising:
receiving one or more characteristics of the person; transmitting a first protocol to a control module that implements a first frequency at a first duration at the person; receiving a first set of frequency feedback information from the control module; using a portion of the first set of frequency feedback information to derive a fundamental frequency of the person; comparing the fundamental frequency to other persons with similar characteristics in a historical frequency dataset, wherein the historical frequency dataset comprises an ideal frequency dataset; and developing a second protocol that implements a second frequency and a corresponding second duration to adjust the fundamental frequency closer to the ideal frequency dataset.
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 , further comprising transmitting the second frequency to the person.
15 . The method of claim 1 , wherein the one or more characteristics are at least one of a sex, an race, and a profession.Cited by (0)
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