中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

8 records (took 0.016 seconds)

    LONGITUDINAL DATASETS AND MACHINE LEARNING MODELS FOR MENOPAUSE STATE AND ANOMALY PREDICTIONS
    3.
    发明公开
    LONGITUDINAL DATASETS AND MACHINE LEARNING MODELS FOR MENOPAUSE STATE AND ANOMALY PREDICTIONS 审中-公开

    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.

    HOT FLASH MULTI-SENSOR CIRCUIT SYSTEM
    4.
    发明公开
    HOT FLASH MULTI-SENSOR CIRCUIT SYSTEM 审中-公开

    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.

Patent Agency Ranking