US2019336719A1PendingUtilityA1

Systems And Methods For Distal Control of Health Effectors

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Assignee: SONIPHI LLCPriority: Dec 17, 2015Filed: Jul 16, 2019Published: Nov 7, 2019
Est. expiryDec 17, 2035(~9.4 yrs left)· nominal 20-yr term from priority
A61M 2021/0055A61M 2021/0072A61M 2205/3375A61B 2562/0204A61B 5/024A61M 2021/0027A61M 21/00A61B 7/04A61B 5/0051
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Claims

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-modified
What 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.

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