公开(公告)号：US20240016456A1

公开(公告)日：2024-01-18

申请号：US18034464

申请日：2021-11-03

Applicant: SRI International

Inventor： Massimiliano de Zambotti ,  Fiona Baker ,  Andreas Tsiartas

IPC: A61B5/00 ,  A61B5/0205

CPC classification number: A61B5/7275 ,  A61B5/7264 ,  A61B5/02055

Abstract: Embodiments are directed to a non-transitory computer-readable storage medium comprising instructions that when executed cause processor circuitry to generate a longitudinal dataset of a set of features from tracked physical measurements of a user received from sensor circuitry, apply at least one machine learning model to the longitudinal dataset of the set of features to identify a pattern within the set of features indicative of a probability of the user being in a state of menopause, predict a current state of menopause for the user based on the identified pattern, and communicate a data message indicative of the current state of menopause for the user. In some embodiments, the set of features are compressed to pseudo-features and input to a first ML model using a second ML model.

公开(公告)号：US20230277106A1

公开(公告)日：2023-09-07

申请号：US18019893

申请日：2021-08-06

Applicant: SRI International

Inventor： Massimiliano de Zambotti ,  Fiona Baker ,  David Smith ,  Andreas Tsiartas

IPC: A61B5/16 ,  A61B5/00 ,  G16H50/20

CPC classification number: A61B5/165 ,  A61B5/7264 ,  G16H50/20

Abstract: Embodiments in accordance with the present disclosure are directed to systems, devices, and methods involving hot flash (HF) multi-sensor circuits. An example system includes a plurality of sensor circuits and processor circuitry. The sensor circuits obtain a plurality of sensor signals associated with the user. The processor circuitry extracts features from the plurality of sensor signals obtained by the plurality of sensor circuits, aligns the extracted features to a common time point, identifies a HF event for the user using a predictive data model indicative of probability of the HF event occurring for the user at a date and time and based on the aligned extracted features, and communicates a message indicative of the HF event to the user.

公开(公告)号：US20230329631A1

公开(公告)日：2023-10-19

申请号：US17906699

申请日：2021-06-29

Applicant: SRI International

Inventor： Massimiliano de Zambotti ,  Fiona Baker ,  Devin Prouty ,  Ian Colrain ,  Bhaskar Ramamurthy ,  Glen W. McLaughlin

IPC: A61B5/00 ,  A61B5/024 ,  A61B5/256

CPC classification number: A61B5/4809 ,  A61B5/4836 ,  A61B5/02405 ,  A61B5/256 ,  A61B5/02427 ,  A61B2562/0219

Abstract: Example embodiments are directed systems including processing circuitry and memory circuitry to store a predictive data model indicative of different patterns and probabilities of a user transitioning from an awake state to a sleep state. The processing circuitry is to detect, using data indicative of a current psychophysiological state of the user, a pattern among the different patterns of the predictive data model that is indicative of a probability of the user transitioning from the awake state to the sleep state at a date and time, based on the detected pattern, select an intervention action predicted to increase the probability of the user transitioning to the sleep state at the date and time, and communicate a message indicative of the intervention action to the user.