US 11,992,333 B2
Method and system for transdermal alcohol monitoring
Keith Harry Nothacker, San Francisco, CA (US); William Tammen, San Francisco, CA (US); and Raymond Kampmeier, San Francisco, CA (US)
Assigned to KHN Solutions, LLC, San Francisco, CA (US)
Filed by KHN Solutions, LLC, San Francisco, CA (US)
Filed on Jan. 13, 2022, as Appl. No. 17/575,179.
Application 17/575,179 is a continuation of application No. 17/223,264, filed on Apr. 6, 2021, granted, now 11,253,196.
Application 17/223,264 is a continuation of application No. 16/362,444, filed on Mar. 22, 2019, granted, now 11,006,895, issued on May 18, 2021.
Claims priority of provisional application 62/646,706, filed on Mar. 22, 2018.
Prior Publication US 2022/0133226 A1, May 5, 2022
Int. Cl. A61B 5/00 (2006.01); A61B 5/145 (2006.01); A61B 10/00 (2006.01); A61B 5/097 (2006.01)
CPC A61B 5/4845 (2013.01) [A61B 5/14546 (2013.01); A61B 5/681 (2013.01); A61B 5/6833 (2013.01); A61B 10/0064 (2013.01); A61B 5/0002 (2013.01); A61B 5/097 (2013.01); A61B 5/6824 (2013.01); A61B 2010/0009 (2013.01); A61B 2010/0087 (2013.01)] 20 Claims
OG exemplary drawing
 
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.