公开(公告)号：US20230415051A1

公开(公告)日：2023-12-28

申请号：US17846407

申请日：2022-06-22

Applicant: X Development LLC

Inventor： Samuel Khamis ,  Vladimir Miskovic ,  Katie B. Stratton

IPC: A63H33/04 ,  A63H33/08

CPC classification number: A63H33/042 ,  A63H33/086 ,  A63H2200/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for tracking object movement within a three-dimensional workspace. A method includes receiving, by a controller, break beam sensor data indicating object detection by a break beam sensor of a plurality of break beam sensors configured to detect objects within the workspace. The method includes receiving plate sensor data indicating object detection by a plate sensor of a plurality of plate sensors configured to detect objects resting on a surface of a plate defining a floor of the workspace. The method includes determining that an object passed through the workspace to rest at a position on the surface; comparing the position of the object to a target position of the object; and in response to determining that the position of the object does not satisfy similarity criteria for matching the target position, performing one or more actions.

公开(公告)号：US20220068476A1

公开(公告)日：2022-03-03

申请号：US17007193

申请日：2020-08-31

Applicant: X Development LLC

Inventor： Katherine Elise Link ,  Vladimir Miskovic ,  Nina Thigpen ,  Mustafa Ispir ,  Garrett Raymond Honke ,  Pramod Gupta

IPC: G16H50/20 ,  G06N3/08 ,  G06N7/00

Abstract: Systems and processes described herein can expand a limited data set of EEG trials into a larger data set by resampling subsets of EEG trial data. Implementations may employ one or more of a variety of different resampling techniques. For example, a subset of the available training data is selected to form a new set of training data. The subset can be selected using replacement (e.g., a sample can be selected more than once, and thus represented multiple times in the new set of training data). Alternatively the subset can be selected without using replacement (e.g., each sample is able to be selected only once, and thus represented a maximum of one time in the new set of training data).

公开(公告)号：US20220062580A1

公开(公告)日：2022-03-03

申请号：US17003620

申请日：2020-08-26

Applicant: X Development LLC

Inventor： Vladimir Miskovic ,  Matthew Dixon Eisaman ,  Sarah Ann Laszlo ,  Thomas Peter Hunt

IPC: A61M21/02 ,  G16H20/30 ,  G16H50/30 ,  G16H40/67

Abstract: A method including identifying an activity pattern of a subject's brain, determining, based on the identified activity pattern of the subject's brain and a target parameter, a set of stimulation parameters, generating, by two or more emitters and based on the set of stimulation parameters, a composite stimulation pattern at a portion of the subject's brain, wherein each of the two or more emitters generates a stimulation pattern using a different modality, measuring, by one or more sensors, a response from the portion of the subject's brain in response to the composite stimulation pattern; and dynamically adjusting, for each emitter and based on the measured response from the portion of the subject's brain, a set of stimulation parameters.

公开(公告)号：US20220015659A1

公开(公告)日：2022-01-20

申请号：US16930122

申请日：2020-07-15

Applicant: X Development LLC

Inventor： Mustafa Ispir ,  Asim Iqbal ,  Pramod Gupta ,  Garrett Raymond Honke ,  Vladimir Miskovic

IPC: A61B5/0484 ,  G06N3/04 ,  G06N3/08 ,  G06K9/00 ,  A61B5/04 ,  G16H50/30 ,  G16H50/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating embeddings of EEG measurements. One of the methods includes obtaining a two-dimensional time-frequency electroencephalogram (EEG) representation corresponding to one or more EEG signal measurements of a user; processing the time-frequency EEG representation using a first neural network having a plurality of first network parameters to generate an embedding of the time-frequency EEG representation, wherein the first neural network has been trained using transfer learning; and providing the embedding of the time-frequency EEG representation to a downstream neural network to generate a mental health prediction for the user.

公开(公告)号：US20210383936A1

公开(公告)日：2021-12-09

申请号：US16891757

申请日：2020-06-03

Applicant: X Development LLC

Inventor： Vladimir Miskovic ,  Katherine Elise Link ,  Mustafa Ispir ,  Pramod Gupta

IPC: G16H70/60 ,  G16H20/70 ,  G16H10/20 ,  G16H40/63 ,  G16H20/30 ,  G06F17/18 ,  G06F16/28 ,  G06N3/04 ,  A61B5/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving physiological data of a patient, obtaining ecological momentary assessment (EMA) data by sending an EMA data prompt, and receiving patient input responsive to the EMA data prompt; and generating, based on the EMA data and the physiological data, a graphical representation of the patient's idiomatic psychopathology symptom network as a symptom network graph.