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公开(公告)号：US20210391039A1
公开(公告)日：2021-12-16
申请号：US16902422
申请日：2020-06-16
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Nina Thigpen , Katherine Elise Link , Vladimir Miskovic
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a plurality of answers to a first set of questions. The actions include generating an adjacency matrix based on the question-answer pairs. The actions include determining a network graph that includes question nodes and edges. The actions include identifying one or more clusters of question nodes by applying a community detection algorithm on the network graph. The actions include determining, for each cluster, i) a cluster centrality and ii) a cluster magnitude. The actions include ranking the clusters based on the cluster centralities and the cluster magnitudes of the one or more clusters. The actions include selecting a second set of questions for the user. And, the actions include causing the questions from the second set of questions to be presented to the user.
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公开(公告)号：US11576601B2
公开(公告)日：2023-02-14
申请号：US16388709
申请日：2019-04-18
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Nina Thigpen , Vladimir Miskovic , Yvonne Yip
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.
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公开(公告)号：US20210391086A1
公开(公告)日：2021-12-16
申请号：US16897981
申请日：2020-06-10
Applicant: X Development LLC
Inventor： Vladimir Miskovic , Katherine Elise Link , Nina Thigpen , Mustafa Ispir , Garrett Raymond Honke , Pramod Gupta
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining psychological data, generating a psychopathological analysis data structure (PADS), applying a latent factor analysis algorithm to the PADS to obtain a psychopathological latent factor space (PLFS), generating a latent factor graph, and outputting the latent factor graph.
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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.
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Patent Agency Ranking
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
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).
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公开(公告)号：US20200205740A1
公开(公告)日：2020-07-02
申请号：US16284561
申请日：2019-02-25
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Aysja Johnson , Georgios Evangelopoulos , Nina Thigpen , Yvonne Yip
IPC: A61B5/00 , G06N3/08 , A61B5/04 , A61B5/0478
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining feature sets for a first number of diagnostic trials performed with a patient for diagnostic testing, wherein each feature set includes one or more features of electroencephalogram (EEG) signals measured from the patient while the patient is presented with trial content known to stimulate one or more desired human brain systems. Iteratively providing different combinations of the feature sets as input data to a diagnostic machine learning model to obtain model outputs, each model output corresponding to a particular one of the combinations. Determining, based on the model outputs, a consistency metric, the consistency metric indicating whether a quantity of feature sets in the combinations is sufficient to produce accurate output from the diagnostic machine learning model. Selectively ending the diagnostic testing with the patient based on a value of the consistency metric.
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公开(公告)号：US11495333B2
公开(公告)日：2022-11-08
申请号：US16902422
申请日：2020-06-16
Applicant: X Development LLC
Inventor： Sarah Ann Laszlo , Nina Thigpen , Katherine Elise Link , Vladimir Miskovic
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a plurality of answers to a first set of questions. The actions include generating an adjacency matrix based on the question-answer pairs. The actions include determining a network graph that includes question nodes and edges. The actions include identifying one or more clusters of question nodes by applying a community detection algorithm on the network graph. The actions include determining, for each cluster, i) a cluster centrality and ii) a cluster magnitude. The actions include ranking the clusters based on the cluster centralities and the cluster magnitudes of the one or more clusters. The actions include selecting a second set of questions for the user. And, the actions include causing the questions from the second set of questions to be presented to the user.
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公开(公告)号：US20220101997A1
公开(公告)日：2022-03-31
申请号：US17039303
申请日：2020-09-30
Applicant: X Development LLC
Inventor： Asim Iqbal , Mustafa Ispir , Garrett Raymond Honke , Nina Thigpen , Vladimir Miskovic , Pramod Gupta
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing representations of EEG measurements. One of the methods includes obtaining a plurality of EEG signal measurements corresponding to respective EEG trials of a user; generating a time-domain representation from the plurality of EEG signal measurements, where the time-domain representation includes a plurality of rows, and where each row corresponds to a different set of one or more EEG signal measurements; applying the time-domain representation as input to a neural network having a plurality of network parameters, final values of the network parameters having been determined by a transfer learning process where the neural network is initially trained to perform an image processing task and the neural network is subsequently trained to perform EEG analysis; and obtaining, from the neural network, a mental health prediction for the user.
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公开(公告)号：US20220054033A1
公开(公告)日：2022-02-24
申请号：US16999636
申请日：2020-08-21
Applicant: X Development LLC
Inventor： Garrett Raymond Honke , Pramod Gupta , Mustafa Ispir , Nina Thigpen
IPC: A61B5/048 , A61B5/0478 , A61B5/00
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, from one or more electrodes, electroencephalographic (EEG) signals from a user; generating signal vectors from the EEG signals, each signal vector representing one channel of EEG signals. The actions include providing the signal vectors as input data to a variational autoencoder (VAE), wherein the VAE generates a latent representation of the input data, the latent representation having lower dimensionality than the signal vectors, and reconstructs the latent representation into an event related potential (ERP) of the corresponding EEG signal. The actions include providing, for display to a user, a graphical representation of the ERPs.
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