# US 12,009,009 B2 · Systems and method of providing health information through use of a person's voice > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,009,009 B2 - Document ID: US12009009B2 - Status: Granted - Kind: B2 - Application number: 18/120,382 - Filed: 2023-03-11 - Published: 2023-09-14 - Granted: 2024-06-11 - Earliest claimed: 2022-03-13 - Assignees: Sonaphi LLC - Applicants: Sonaphi, LLC - Inventors: Brandon Muzik; Mark Hinds; Robert D. Fish - Web page: https://patentgrep.com/patent/US12009009B2 ## CPC - G10L 25/66: for extracting parameters related to health condition (detecting or measuring for diagnostic purposes A61B5/00) - G16H 20/30: relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising - A61B 5/4803: {Speech analysis specially adapted for diagnostic purposes} - A61B 5/6898: {Portable consumer electronic devices, e.g. music players, telephones, tablet computers} - A61B 5/7267: {involving training the classification device} - A61B 5/744: {Displaying an avatar, e.g. an animated cartoon character} - G10L 15/30: Distributed recognition, e.g. in client-server systems, for mobile phones or network applications - G16H 20/00: ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance - G16H 50/30: for calculating health indices; for individual health risk assessment - G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A system that can capture a user's voice sample and, based on a comparison with other voice samples stored in a database, determine the existence of one or more musculoskeletal conditions within the user's body. The analysis of the voice sample include determining various voice characteristics of the sample against those that are in the database-stored samples to determine matches with conditions and their associated severities. The results are presented via an application that can present location and severity on a 3D avatar model. ## Claims ### Claim 1 A method of providing health information through use of a person's voice, comprising: capturing a voice recording from the person; using at least one processor to: retrieve at least one voice characteristic from the voice recording; map the at least one voice characteristic to at least a first musculoskeletal biomarker among a plurality of musculoskeletal biomarkers; identify the at least a first musculoskeletal biomarker with a corresponding first intensity based on the mapping; using an avatar to display a location of the first biomarker; visually depict an indicator of the first intensity; present at least one recommendations depending on the location of the first biomarker and the first intensity; and wherein the different recommendations include at least one of a corrective exercise and a corrective therapy. ### Claim 2 (depends on 1) The method of claim 1, further comprising using a cell phone or other mobile consumer device to capture the voice recording, without requiring any extraneous attachment. ### Claim 3 (depends on 1) The method of claim 1, further comprising collecting voice samples from a cohort of persons, and developing a set of correlations between the collected voice samples and multiple musculoskeletal biomarkers of the different persons, and comparing the voice recording to data in the set of correlations. ### Claim 4 (depends on 3) The method of claim 3, further comprising adding to the set of correlations, first intensity information derived from amplitude frequency sweeps of the collected voice samples. ### Claim 5 (depends on 3) The method of claim 3, further comprising applying a Tens unit or other electrical stimulation to a particular muscle or a muscle group to verify data in the set of correlations. ### Claim 6 (depends on 3) The method of claim 3, further comprising using manual stimulation of a particular muscle or a muscle group to verify data in the set of correlations. ### Claim 7 (depends on 1) The method of claim 1, wherein the avatar comprises a 3D representation of a person, such that a viewer can visualize front, side, and back views of the avatar. ### Claim 8 (depends on 1) The method of claim 1, wherein the indicator uses color coding to designate the first intensity. ### Claim 9 (depends on 1) The method of claim 1, further comprising depicting the indicator both on the avatar, and in a listing that correlates the indicator with an associated one of the different recommendations. ### Claim 10 (depends on 9) The method of claim 9, wherein the listing further correlates the indicator with an anatomical representation of a body located near the indicator on the avatar. ### Claim 11 (depends on 9) The method of claim 9, further comprising using the voice recording to identify at least a second musculoskeletal biomarker with a corresponding second intensity; and using an avatar to display a location of the second biomarker; and wherein the listing ranks the first and second musculoskeletal biomarkers with respect to their corresponding first and second intensities. ### Claim 12 (depends on 1) The method of claim 1, wherein the at least processor uses artificial intelligence to process the voice recording to identify at least the first musculoskeletal biomarker with the first intensity. ### Claim 13 (depends on 1) The method of claim 1, further comprising providing a software app through an app store, which collects the voice recording, and transmits the voice recording to a receiving portal, receives data from a delivery portal, and presents the received data to a user in an interface that include the avatar.