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    ALERT VERSUS FATIGUE DISCRIMINATOR
    2.
    发明申请
    ALERT VERSUS FATIGUE DISCRIMINATOR 审中-公开

    公开(公告)号：US20200337622A1

    公开(公告)日：2020-10-29

    申请号：US16957073

    申请日：2017-12-29

    申请人： Agency for Science Technology And Research

    发明人： Zhuo Zhang ,  Aung Aung Phyo Wai ,  Cuntai Guan ,  Hai Hong Zhang

    IPC分类号： A61B5/16 ,  A61B5/00 ,  A61B5/18 ,  A61B5/0476 ,  A61B5/04

    摘要： Described is a computer system for establishing an electroencephalogram (EEG) model for discriminating between alert and fatigue states. The computer system comprises a receiver module for receiving an alert state segment illustrative of an alert state of at least one subject, and one or more EEG fatigue data segments illustrative of a fatigue state of the at least one subject. The computer system further comprises a segment selector for selecting one of the one or more fatigue data segments and setting it to be an assumed maximum fatigue segment, an EEG classifier trainer for training an EEG classifier by extracting an EEG feature space from the alert state segment and assumed maximum fatigue segment, and a maximum fatigue identifier module for identifying a segment of maximum fatigue by applying the EEG classifier to each of the fatigue data segments. The computer system further comprises a segment comparator for determining if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment, and a limit setter for setting the segment of maximum fatigue as a revised assumed maximum fatigue segment, if the segment of maximum fatigue is inconsistent with the assumed maximum fatigue segment, and supplying the EEG classifier trainer with the revised assumed maximum fatigue segment. The computer system further comprises a model output module for setting the EEG classifier as the EEG model for discriminating between alert and fatigue states in segments of EEG data, if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment.

    A COMPUTER SYSTEM FOR ACQUIRING A CONTROL COMMAND
    3.
    发明申请
    A COMPUTER SYSTEM FOR ACQUIRING A CONTROL COMMAND 审中-公开

    公开(公告)号：US20200057499A1

    公开(公告)日：2020-02-20

    申请号：US16498872

    申请日：2018-03-29

    申请人： Agency for Science, Technology And Research

    发明人： Zhuo Zhang ,  Cuntai Guan ,  Chuanchu Wang

    IPC分类号： G06F3/01 ,  A61B5/0484 ,  G05B15/02

    摘要： A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.

    Alert versus fatigue discriminator
    4.
    发明授权
    Alert versus fatigue discriminator 有权

    公开(公告)号：US11672455B2

    公开(公告)日：2023-06-13

    申请号：US16957073

    申请日：2017-12-29

    申请人： Agency for Science Technology And Research

    发明人： Zhuo Zhang ,  Aung Aung Phyo Wai ,  Cuntai Guan ,  Hai Hong Zhang

    IPC分类号： A61B5/16 ,  A61B5/18 ,  A61B5/00 ,  A61B5/316 ,  A61B5/369 ,  A61B5/374

    CPC分类号： A61B5/165 ,  A61B5/18 ,  A61B5/316 ,  A61B5/369 ,  A61B5/7267 ,  A61B5/0006 ,  A61B5/163 ,  A61B5/374

    摘要： Described is a computer system for establishing an electroencephalogram (EEG) model for discriminating between alert and fatigue states. The computer system comprises a receiver module for receiving an alert state segment illustrative of an alert state of at least one subject, and one or more EEG fatigue data segments illustrative of a fatigue state of the at least one subject. The computer system further comprises a segment selector for selecting one of the one or more fatigue data segments and setting it to be an assumed maximum fatigue segment, an EEG classifier trainer for training an EEG classifier by extracting an EEG feature space from the alert state segment and assumed maximum fatigue segment, and a maximum fatigue identifier module for identifying a segment of maximum fatigue by applying the EEG classifier to each of the fatigue data segments. The computer system further comprises a segment comparator for determining if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment, and a limit setter for setting the segment of maximum fatigue as a revised assumed maximum fatigue segment, if the segment of maximum fatigue is inconsistent with the assumed maximum fatigue segment, and supplying the EEG classifier trainer with the revised assumed maximum fatigue segment. The computer system further comprises a model output module for setting the EEG classifier as the EEG model for discriminating between alert and fatigue states in segments of EEG data, if the segment of maximum fatigue is consistent with the assumed maximum fatigue segment.

    Sleep profiling system with feature generation and auto-mapping
    5.
    发明授权
    Sleep profiling system with feature generation and auto-mapping 有权

    公开(公告)号：US11039784B2

    公开(公告)日：2021-06-22

    申请号：US15533372

    申请日：2015-12-07

    申请人： AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH

    发明人： Zhuo Zhang ,  Cuntai Guan ,  Hai Hong Zhang ,  Huijuan Yang

    IPC分类号： A61B5/00 ,  A61B5/372 ,  A61B5/316 ,  A61B5/369

    摘要： A method for profiling sleep of an individual is provided. The method includes defining a sleep feature space for the individual, measuring a brain wave for the individual during the individual's sleep, and mapping the sleep feature space in response to a comparison of the brain wave and a previous brain wave measurement used to define the sleep feature space. The brain wave may comprise a brain wave spectrum. The sleep feature space may comprise, or be composed of, spectral power and envelope measures. The method also includes modelling the mapped sleep feature space in response to recognized neural network patterns corresponding to each of a plurality of sleep stages derived from recognizing the neural network patterns from the sleep feature space and deriving a sleep profile for the individual from sleep stages determined in response to the modelled mapped sleep feature space and the brain wave of the individual.

    Computer system for acquiring a control command
    9.
    发明授权
    Computer system for acquiring a control command 有权

    公开(公告)号：US10983595B2

    公开(公告)日：2021-04-20

    申请号：US16498872

    申请日：2018-03-29

    申请人： Agency for Science, Technology And Research

    发明人： Zhuo Zhang ,  Cuntai Guan ,  Chuanchu Wang

    IPC分类号： H04B3/46 ,  G06F3/01 ,  A61B5/0484 ,  G05B15/02

    摘要： A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.