# US 11,992,333 B2 · Method and system for transdermal alcohol monitoring > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,992,333 B2 - Document ID: US11992333B2 - Status: Granted - Kind: B2 - Application number: 17/575,179 - Filed: 2022-01-13 - Published: 2022-05-05 - Granted: 2024-05-28 - Earliest claimed: 2018-03-22 - Assignees: KHN Solutions, Inc. - Applicants: KHN Solutions, LLC - Inventors: Keith Harry Nothacker; William Tammen; Raymond Kampmeier - Web page: https://patentgrep.com/patent/US11992333B2 ## CPC - A61B 5/4845: {Toxicology, e.g. by detection of alcohol, drug or toxic products (A61B5/4848 takes precedence)} - A61B 5/14546: {for measuring analytes not otherwise provided for, e.g. ions, cytochromes} - A61B 5/681: {Wristwatch-type devices} - A61B 5/6833: {Adhesive patches} - A61B 10/0064: {for taking sweat or sebum samples (measuring sweat production A61B5/4266)} - A61B 5/0002: {Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network (endoradiosondes A61B5/07)} - A61B 5/097: Devices for facilitating collection of breath or for directing breath into or through measuring devices - A61B 5/6824: {Arm or wrist} - A61B 2010/0009: {Testing for drug or alcohol abuse} - A61B 2010/0087: {Breath samples} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract A method for monitoring intoxication of a user, the method including: receiving a set of samples from a body region of a user; generating an intoxication metric based on the set of samples; and providing a notification to the user based on the intoxication metric. The method can additionally or alternatively include: modifying operation of the transdermal alcohol sensing device based on the intoxication metric; determining contextual data; maintaining a hydration level of the transdermal alcohol sensing device; and any other suitable processes. A system for monitoring intoxication of a user including a sensor and a housing. The system can additionally or alternatively include any or all of: an inlet, a fastener, an electronics subsystem, a user device, and/or any other suitable component. ## Claims ### Claim 1 A system for monitoring intoxication of a user, the system comprising: a transdermal sensing device comprising an alcohol sensor, wherein the transdermal sensing device collects a sample proximal to a skin surface of the user; a set of supplementary sensors in communication with the transdermal sensing device, wherein the set of supplementary sensors collects a set of supplementary data; and a processing system, wherein the processing system: determines an intoxication metric based on the sample, wherein the intoxication metric is determined at least in part with a machine learning algorithm trained based on data collected at a set of breathalyzer devices; triggers the transmission of a notification based on at least one of the intoxication metric or the set of supplementary data. ### Claim 2 (depends on 1) The system of claim 1, wherein the machine learning algorithm is further trained based on data collected at a set of transdermal sensing devices, wherein the set of breathalyzer devices is separate and distinct from the set of transdermal devices. ### Claim 3 (depends on 1) The system of claim 1, wherein the machine learning algorithm implemented for the user is tailored based on demographic information associated with the user. ### Claim 4 (depends on 1) The system of claim 1, wherein the intoxication metric comprises a Blood Alcohol Content (BAC) value. ### Claim 5 (depends on 1) The system of claim 1, wherein the BAC value is determined with the machine learning algorithm and based on a Transdermal Alcohol Content (TAC) value, wherein the TAC value is determined based on an alcohol signal derived from the sample. ### Claim 6 (depends on 1) The system of claim 1, wherein the notification is transmitted to a user device, wherein the user device is separate and distinct from the transdermal alcohol sensing device. ### Claim 7 (depends on 6) The system of claim 6, wherein the user device is associated with a second user. ### Claim 8 (depends on 1) The system of claim 1, wherein the set of supplementary sensors comprises a temperature sensor and a motion sensor. ### Claim 9 (depends on 8) The system of claim 8, wherein the set of supplementary sensors is at least partially arranged onboard the transdermal device. ### Claim 10 (depends on 9) The system of claim 9, wherein the set of supplementary sensors further comprises a location sensor. ### Claim 11 (depends on 10) The system of claim 10, wherein the location sensor is arranged offboard the transdermal sensing device. ### Claim 12 (depends on 1) The system of claim 1, wherein the intoxication metric is further determined based on information collected at the set of supplementary sensors. ### Claim 13 (depends on 1) The system of claim 1, wherein the sample is a vapor sample. ### Claim 14 A method for monitoring intoxication of a user with a transdermal device, the method comprising: collecting a sample proximal to a skin surface of the user with the transdermal device; collecting a set of supplementary data with a set of supplementary sensors; determining an intoxication metric based on processing the sample with a machine learning algorithm, wherein the machine learning algorithm is trained based on a first dataset collected at a set of breathalyzer devices and a second dataset collected at a set of transdermal devices, wherein the set of breathalyzer devices is separate and distinct from the set of transdermal devices; and triggering the transmission of a notification based on at least one of the intoxication metric or the set of supplementary data. ### Claim 15 (depends on 14) The method of claim 14, further comprising collecting, with the transdermal device, a set of multiple samples, the set of multiple samples comprising the sample, wherein the set of samples is collected according to a sampling frequency. ### Claim 16 (depends on 15) The method of claim 15, further comprising adjusting the sampling frequency based on at least one of: the intoxication metric and information collected at a set of supplementary sensors, the set of supplementary sensors onboard the transdermal sensing device. ### Claim 17 (depends on 14) The method of claim 14, wherein the notification instructs the user to take a breathalyzer test with a breathalyzer device, the breathalyzer device separate and distinct from the transdermal device. ### Claim 18 (depends on 14) The method of claim 14, wherein the machine learning algorithm adjusted for the user based on demographic information associated with the user. ### Claim 19 (depends on 14) The method of claim 14, further comprising collecting, with the transdermal device, a set of multiple samples, the set of multiple samples comprising the sample, wherein processing the sample with a machine learning algorithm comprises determining a BAC curve based on the set of multiple samples. ### Claim 20 (depends on 19) The method of claim 19, wherein the intoxication metric is determined based on calculating an area underneath the BAC curve.