ASSESSMENT OF RISK FOR MAJOR DEPRESSIVE DISORDER FROM HUMAN ELECTROENCEPHALOGRAPHY USING MACHINE LEARNED MODEL

    公开(公告)号:US20200205712A1

    公开(公告)日:2020-07-02

    申请号:US16284607

    申请日:2019-02-25

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting a human participant with information known to stimulate a person's neural reward system. Receiving an EEG signal from a sensor coupled to the human participant in response to presenting the participant with the information, the EEG signal being associated with the participant's neural reward system. Contemporaneously with receiving the EEG signal, receiving contextual information related to the information presented to the human participant. Processing the EEG signal and the contextual information in real time using a machine learning model trained to associate depression in the person with EEG signals associated with the person's neural reward system and the presented information. Diagnosing whether the participant is experiencing depression based on an output of the machine learning model.

    Cable suspended robotic system
    23.
    发明授权

    公开(公告)号:US10369693B1

    公开(公告)日:2019-08-06

    申请号:US15348013

    申请日:2016-11-10

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a three-dimensional (3D) model of an operating volume for a cable-suspended robotic system, where the operating volume is defined, at least in part, by a plurality of cable support structures. Identifying a cable positioned device suspended from a plurality of cables and an object that obstructs a path of the cable positioned device within the operating volume within the 3D model. Locating the cable positioned device relative to the object using the 3D model. Controlling one or more cable motors to navigate the cable positioned device within the operating volume.

    INTERFACE FOR ELECTROENCEPHALOGRAM FOR COMPUTER CONTROL

    公开(公告)号:US20190196585A1

    公开(公告)日:2019-06-27

    申请号:US15855845

    申请日:2017-12-27

    Abstract: A method for analyzing electroencephalogram (EEG) signals is disclosed. Information associated with two or more options is presented to a user. EEG signals from a sensor coupled to the user are received contemporaneously to the user receiving information associated with the two or more options. The EEG signals are processed in real time to determine which one of the options was selected by the user. In response to determining which one of the options was selected by the user, an action from one or more possible actions associated with the information presented to the user is selected. An output associated with the selected action is then generated.

    AUTOMATICALLY DETERMINING EXTRINSIC PARAMETERS OF MODULAR EDGE COMPUTING DEVICES

    公开(公告)号:US20230120944A1

    公开(公告)日:2023-04-20

    申请号:US17505058

    申请日:2021-10-19

    Abstract: Implementations are disclosed for automatic commissioning, configuring, calibrating, and/or coordinating sensor-equipped modular edge computing devices that are mountable on agricultural vehicles. In various implementations, neighbor modular edge computing device(s) that are mounted on a vehicle nearest a given modular edge computing device may be detected based on sensor signal(s) generated by contactless sensor(s) of the given modular edge computing device. Based on the detected neighbor modular edge computing device(s), an ordinal position of the given modular edge computing device may be determined relative to a plurality of modular edge computing devices mounted on the agricultural vehicle. Based on the sensor signal(s), distance(s) to the neighbor modular edge computing device(s) may be determined. Extrinsic parameters of the given modular edge computing device may be determined based on the ordinal position of the given modular edge computing device and the distance(s).

    Sub-Dermally Implanted Electroencephalogram Sensor

    公开(公告)号:US20190192031A1

    公开(公告)日:2019-06-27

    申请号:US15856043

    申请日:2017-12-27

    Abstract: A method for obtaining an electroencephalogram (EEG) of a user is disclosed. A reference sensor is attached to the user by connecting a first component of the reference sensor to a second component of the reference sensor, at least a portion of the first component being sub-dermally implanted on or adjacent to a mastoid process of the user. At least one active sensor is attached to the user. A first signal is detected from the reference sensor simultaneously as a second signal is detected from the at least one active sensor. The EEG is obtained based on the first signal and the second signal.

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