知搜-全球专利检索

  1. Login
  2. Sign Up

Search Results

104 records (took 0.024 seconds)

    STROKE PREDICTION MULTI-ARCHITECTURE STACKED ENSEMBLE SUPERMODEL
    2.
    发明申请
    STROKE PREDICTION MULTI-ARCHITECTURE STACKED ENSEMBLE SUPERMODEL 有权

    公开(公告)号：US20240415469A1

    公开(公告)日：2024-12-19

    申请号：US18726756

    申请日：2023-01-04

    Applicant: ASTERION AI INC.

    Inventor： Krag Browder ,  Ezekiel Fink

    IPC: A61B5/00 ,  A61B5/384

    Abstract: Apparatus and associated methods relate to emergency stroke detection and classification. In an illustrative example, a stroke detection device may include an ensemble stroke classification model (ESCM). The ESCM may, for example, include class-specific model sets applicable for at least four classes of features, and a general model set applicable for all classes of features. Each model set, for example, may be stacked with multiple class-specific models for each of a corresponding group of architectures. The stroke detection device may, for example, extract predetermined features from a rolling window of a first predetermined duration of EEG data. The predetermined features are extracted and combined into a 1-D input vector. By applying the input vector, the stroke detection device may generate a binary stroke prediction result. Various embodiments may advantageously accurately predict whether a patient is experiencing a stroke within a finite time to assist an emergency service personnel.

    Providing a parameter which indicates a loss of consciousness of a patient under anesthesia
    8.
    发明授权
    Providing a parameter which indicates a loss of consciousness of a patient under anesthesia 有权

    公开(公告)号：US12029580B2

    公开(公告)日：2024-07-09

    申请号：US17049479

    申请日：2019-04-26

    Applicant: Covidien LP

    Inventor： Susanne Koch ,  Claudia Spies

    IPC: A61B5/00 ,  A61B5/291 ,  A61B5/372 ,  A61B5/384

    CPC classification number: A61B5/4821 ,  A61B5/291 ,  A61B5/372 ,  A61B5/384 ,  A61B5/7225

    Abstract: The invention relates to a method and a device for providing a parameter which indicates a loss of consciousness of a patient under anesthesia. The method has the steps of detecting (301) at least one EEG signal on the head of the patient; continuously determining (302) the spectral cut-off frequency in a current timeframe of the EEG signal; determining (303) the curve of the spectral cut-off frequency of the EEG signal in a period of time which begins before an anesthesia-inducing medication is administered and ends after the anesthesia-induced loss of consciousness is initiated; determining (304) the absolute minimum of the spectral cut-off frequency in the period of time, wherein a negative peak of the spectral cut-off frequency lies in the absolute minimum, and providing (305) information regarding at which point in time the absolute minimum was reached as a parameter for an indicative notification of the loss of consciousness of the patient.

    System for generating product recommendations using biometric data
    9.
    发明授权
    System for generating product recommendations using biometric data 有权

    公开(公告)号：US12002081B2

    公开(公告)日：2024-06-04

    申请号：US17364310

    申请日：2021-06-30

    Applicant: L'OREAL

    Inventor： Fred Orsita ,  Jennifer Lee ,  Shelby Stewart

    IPC: G06Q30/00 ,  A61B5/00 ,  A61B5/381 ,  A61B5/384 ,  G06Q30/0601

    CPC classification number: G06Q30/0631 ,  A61B5/381 ,  A61B5/384 ,  A61B5/6898 ,  A61B2503/12

    Abstract: Systems and methods for facilitating product preferences and/or product recommendations are disclosed. Biometric data of the subject are taken into account by the systems and methods in order to determine product preferences and/or product recommendations. Other factors of the subject, although optional, may be also taken into account while determining product preferences and/or product recommendations for a subject. These product preferences or recommendations can be presented to the subject, either automatically via a display device or with assistance from a product consultant. To obtain the biometric data, the subject will be exposed to a number of stimuli, such as fragrance/scent stimuli. Biometric data will then be collected from the subject based on her response to this fragrance/scent stimuli. In some examples, the collected biometric data relates to a subject's event-related potential (ERP)—the measured brain response that is the direct result of a specific sensory, cognitive, or motor event.

Patent Agency Ranking