公开(公告)号：US20200329990A1

公开(公告)日：2020-10-22

申请号：US16388709

申请日：2019-04-18

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Nina Thigpen ,  Vladimir Miskovic ,  Yvonne Yip

IPC: A61B5/0478 ,  A61B5/04 ,  A61B5/00 ,  G06N3/08

Abstract: Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

公开(公告)号：US20200225749A1

公开(公告)日：2020-07-16

申请号：US16832645

申请日：2020-03-27

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Gabriella Levine ,  Joseph Hollis Sargent ,  Phillip Yee

IPC: G06F3/01 ,  A61B5/04 ,  A61B5/0482 ,  A61B5/0484 ,  A61B5/00 ,  A61B5/0478

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.

公开(公告)号：US20200205712A1

公开(公告)日：2020-07-02

申请号：US16284607

申请日：2019-02-25

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Gabriella Levine ,  Georgios Evangelopoulos

IPC: A61B5/16 ,  A61B5/04 ,  A61B5/0484 ,  A61B5/00 ,  A61B5/0482 ,  A61B5/048

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.

公开(公告)号：US20200205711A1

公开(公告)日：2020-07-02

申请号：US16284556

申请日：2019-02-25

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Georgios Evangelopoulos ,  Pramod Gupta

IPC: A61B5/16 ,  A61B5/0484 ,  A61B5/0482 ,  A61B5/00 ,  G06K9/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present first content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the first content is being presented to the patient. Identifying, from within the EEG signals of the patient, first brainwave signals associated with a first brain system of the patient, the first brainwave signals representing a response by the patient to the first content. Determining, based on providing the first brainwave signals as input features to a machine learning model, a likelihood that the patient will experience a type of depression within a period of time. Providing, for display on a user computing device, data indicating the likelihood that the patient will experience the type of depression within the period of time.

公开(公告)号：US20190239807A1

公开(公告)日：2019-08-08

申请号：US15891740

申请日：2018-02-08

Applicant: X Development LLC

Inventor： Philip Edwin Watson ,  Gabriella Levine ,  Sarah Ann Laszlo

IPC: A61B5/00 ,  A61B5/0478 ,  A61B5/0482 ,  A61B5/0484

CPC classification number: A61B5/6814 ,  A61B5/0006 ,  A61B5/0478 ,  A61B5/0482 ,  A61B5/04842 ,  A61B5/6838 ,  A61B2562/0209

Abstract: A sensor device includes a sensor housing defining a channel extending along a channel axis through the housing from a first side of the sensor housing to a second side of the sensor housing opposite the first side, at least one contact electrode extending from the first side of the housing, an electrically-conducting lead attached to the housing in electrical communication with the at least one contact electrode, and a locking mechanism located in the channel permitting one-way axial motion of a thread threaded through the channel from the first side to the second side.

公开(公告)号：US20190196585A1

公开(公告)日：2019-06-27

申请号：US15855845

申请日：2017-12-27

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Gabriella Levine ,  Joseph Hollis Sargent ,  Phillip Yee

IPC: G06F3/01 ,  A61B5/04 ,  A61B5/0482 ,  A61B5/0484 ,  A61B5/00

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.