Patent ID: 11937911
Assignee: DEEPCONVO INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 15:
16. The computer program product of claim 15, wherein analyze the first streaming prompt data to provide feedback to the user of the computing device comprises:
detect an unacceptable background noise level based on analysis of the first portion of the first streaming prompt data;
upon determining the first streaming prompt data satisfies one or more criteria, receive second streaming prompt data from the computing device;
wherein analyze the subset of the second streaming prompt comprises:
generate the feedback with respect to whether the user has completed the vocal action at the computing device in response to a subsequent vocal action prompt; and
send the feedback to the computing device;

and
analyze the subset of the second streaming prompt data to predict a respiratory state of the user of the computing device, which further comprises:
train a machine learning model comprising:
(i) receive a baseline voice sample of the user acquired at a first time when one or more symptoms of the user were stable and receiving a first symptoms assessment score associated with the baseline voice sample;
(ii) receive a close-to-exacerbation (exacerbated) voice sample of the user acquired at a second time when the symptoms may have begun to become exacerbated and receiving a second symptoms assessment score associated with the exacerbated voice sample;
(iii) receive a plurality of additional voice samples of the user acquired at respective different times and receiving a symptoms assessment score that corresponds with a given additional voice sample; and
(iv) include as training data, at least in part, the user's demographics, baseline voice sample, exacerbated voice sample, additional voice samples and respective corresponding symptoms assessment score; and

wherein analyze the subset of the second streaming prompt data to predict a respiratory state of the user of the computing device further comprises:
(a) receive a current voice sample of the user;
(b) feed as input into the machine learning model the current voice sample to predict when the user may begin to experience an exacerbation.