US 11,055,575 B2
Intelligent health monitoring
Ramin Anushiravani, Santa Clara, CA (US); Sridhar Krishna Nemala, Santa Clara, CA (US); Ravi Kiran Yalamanchili, San Jose, CA (US); and Navya Swetha Davuluri, Sunnyvale, CA (US)
Assigned to CurieAI, Inc., Santa Clara, CA (US)
Filed by CurieAI, Inc., Santa Clara, CA (US)
Filed on Nov. 11, 2019, as Appl. No. 16/680,429.
Claims priority of provisional application 62/845,277, filed on May 8, 2019.
Claims priority of provisional application 62/802,673, filed on Feb. 7, 2019.
Claims priority of provisional application 62/760,385, filed on Nov. 13, 2018.
Prior Publication US 2020/0146623 A1, May 14, 2020
Int. Cl. A61B 5/00 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G16H 10/60 (2018.01); G16H 80/00 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 5/08 (2006.01); G06N 3/08 (2006.01); G10L 15/02 (2006.01); G10L 15/16 (2006.01); G10L 15/22 (2006.01); G10L 25/66 (2013.01); G16H 50/70 (2018.01); G16H 20/10 (2018.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G16H 70/60 (2018.01); G16H 70/40 (2018.01); A61B 5/0205 (2006.01); A61B 5/11 (2006.01); A61B 5/1455 (2006.01); G06N 20/10 (2019.01); G06K 9/72 (2006.01); G10L 15/18 (2013.01); A61B 5/024 (2006.01)
CPC G06K 9/6264 (2013.01) [A61B 5/0205 (2013.01); A61B 5/0823 (2013.01); A61B 5/11 (2013.01); A61B 5/14551 (2013.01); A61B 5/4803 (2013.01); A61B 5/4815 (2013.01); A61B 5/4818 (2013.01); A61B 5/4842 (2013.01); A61B 5/4848 (2013.01); A61B 5/6817 (2013.01); A61B 5/7257 (2013.01); A61B 5/7264 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06K 9/629 (2013.01); G06K 9/6257 (2013.01); G06K 9/6269 (2013.01); G06K 9/726 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 25/66 (2013.01); G16H 10/60 (2018.01); G16H 20/10 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/40 (2018.01); G16H 70/60 (2018.01); G16H 80/00 (2018.01); A61B 5/024 (2013.01); A61B 2562/0204 (2013.01); G10L 2015/027 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A system comprising:
an output device;
one or more sensors;
one or more processors;
memory storing instructions that when executed by the one or more processors, cause the one or more processors to perform operations comprising:
capturing, using the one or more sensors, signals including information about a user's symptoms;
collecting other data correlative of symptoms experienced by the user;
determining, using a symptom classifier with the signals and the other data as input, one or more symptoms of the user, the symptom classifier including a first neural network trained on a set of symptoms collected from a plurality of individuals;
determining, using a disease classifier with the one or more symptoms and one or more sleep features as input, a disease or disease state of the user, the disease classifier including a second neural network trained on the set of symptoms and a set of sleep features collected from the plurality of individuals;
determining, using a medication effectiveness classifier with the one or more symptoms and the disease or disease state as input, a medication effectiveness in suppressing the one or more symptoms or improving the disease state of the user, the medication effectiveness classifier including a third neural network trained on the set of symptoms and a set of diseases or disease states collected from the plurality of individuals; and
presenting, using the output device, data for the one or more symptoms, the disease, the disease state, or an indication of the medication effectiveness for the user,
wherein the system further includes:
a housing having a first portion configured to be inserted inside an ear canal of a user and a second portion worn around the ear of the user;
a first microphone or microphone array disposed in the first portion of the housing;
a second microphone or microphone array disposed in the second portion of the housing;
and wherein the one or more sensors include at least one of a motion sensor, a peripheral capillary oxygen saturation (SPO2) sensor or a heart rate sensor disposed in the housing and configured to detect motion, oxygen levels and heart rate, respectively, of the user during a health-related event;
and wherein the one or more processors are coupled to the first and second microphones and the motion sensor, and configured to:
obtain a first audio signal from the first microphone;
obtain a second audio signal from the second microphone;
obtain data from the one or more sensors; and
determine, based on the first audio signal, the second audio signal and the data, one or more health-related events for the user.