Gabriella M Levine

US Patent:

20200245933, Aug 6, 2020

Filed:

Feb 3, 2020

Appl. No.:

16/780449

Inventors:

- Mountain View CA, US
Haden Cory - San Francisco CA, US
Gabriella Levine - San Francisco CA, US

International Classification:

A61B 5/00
A61B 5/0478
A61B 5/16

Abstract:

In general, innovative aspects of the subject matter described in this specification can be embodied in an electrode headset and methods of using an electrode headset. An exemplary electrode headset includes a head covering, an electrode assembly, and a plurality of electrodes. The head covering has a plurality of holes and the electrode assembly includes a plurality of first connectors arranged to align with the plurality of holes of the head covering. Each electrode has a second connector configured to releasably mate with one of the first connectors of the electrode assembly through one of the plurality of holes of the head covering.

US Patent:

20200234064, Jul 23, 2020

Filed:

Apr 7, 2020

Appl. No.:

16/842003

Inventors:

- Mountain View CA, US
Philip Watson - Felton CA, US
Michael Grundmann - San Jose CA, US
Gabriella Levine - San Francisco CA, US

International Classification:

G06K 9/00
B62D 1/28
G05D 1/00
B60K 31/00
G05D 1/02
B62D 15/02
G01C 21/34
G06N 3/04
G01C 21/20

Abstract:

Examples implementations relate to determining path confidence for a vehicle. An example method includes receiving a request for a vehicle to navigate a target location. The method further includes determining a navigation path for the vehicle to traverse a first segment of the target location based on a plurality of prior navigation paths previously determined for traversal of segments similar to the first segment of the target location. The method also includes determining a confidence level associated with the navigation path. Based on the determined confidence level, the method additionally includes selecting a navigation mode for the vehicle from a plurality of navigation modes corresponding to a plurality of levels of remote assistance. The method further includes causing the vehicle to traverse the first segment of the target location using a level of remote assistance corresponding to the selected navigation mode for the vehicle.

US Patent:

20200225749, Jul 16, 2020

Filed:

Mar 27, 2020

Appl. No.:

16/832645

Inventors:

- Mountain View CA, US
Gabriella Levine - San Francisco CA, US
Joseph Hollis Sargent - San Francisco CA, US
Phillip Yee - San Francisco CA, US

International Classification:

G06F 3/01
A61B 5/04
A61B 5/0482
A61B 5/0484
A61B 5/00
A61B 5/0478

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.

US Patent:

20200205712, Jul 2, 2020

Filed:

Feb 25, 2019

Appl. No.:

16/284607

Inventors:

- Mountain View CA, US
Gabriella Levine - San Francisco CA, US
Georgios Evangelopoulos - Venice CA, US

International Classification:

A61B 5/16
A61B 5/04
A61B 5/0484
A61B 5/00
A61B 5/0482
A61B 5/048

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.

US Patent:

20190239807, Aug 8, 2019

Filed:

Feb 8, 2018

Appl. No.:

15/891740

Inventors:

- Mountain View CA, US
Gabriella Levine - San Francisco CA, US
Sarah Ann Laszlo - Mountain View CA, US

International Classification:

A61B 5/00
A61B 5/0478
A61B 5/0482
A61B 5/0484

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.

US Patent:

20190192030, Jun 27, 2019

Filed:

Dec 27, 2017

Appl. No.:

15/855904

Inventors:

- Mountain View CA, US
Joseph Hollis Sargent - San Francisco CA, US
Matthew Dixon Eisaman - Port Jefferson NY, US
Gabriella Levine - San Francisco CA, US

International Classification:

A61B 5/0478
A61B 5/00

Abstract:

An electroencephalogram (EEG) system is disclosed. The EEG system includes an EEG controller and an EEG sensor that includes a contact surface, the contact surface including an electrically-conductive portion in communication with the EEG controller and a sensor release element in communication with the EEG controller, the sensor release element being configured to perform, in response to a signal from the EEG controller, a release action to reduce adhesion of an electrically-conductive gel between the contact of the sensor and the user's skin.

US Patent:

20190192031, Jun 27, 2019

Filed:

Dec 27, 2017

Appl. No.:

15/856043

Inventors:

- Mountain View CA, US
Philip Edwin Watson - Santa Cruz CA, US
Gabriella Levine - San Francisco CA, US

International Classification:

A61B 5/0478
A61B 5/04
A61B 5/00

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.

US Patent:

20190192083, Jun 27, 2019

Filed:

Dec 27, 2017

Appl. No.:

15/855870

Inventors:

- Mountain View CA, US
Brian John Adolf - San Mateo CA, US
Gabriella Levine - San Francisco CA, US
Joseph R. Owens - San Francisco CA, US
Patricia Prewitt - Sunnyvale CA, US
Philip Edwin Watson - Santa Cruz CA, US

International Classification:

A61B 5/00
A61B 5/0476
G06N 99/00

Abstract:

A bioamplifier for analyzing electroencephalogram (EEG) signals is disclosed. The bioamplifier includes an input terminal for receiving an EEG signal from a plurality of sensors coupled to a user. The bioamplifier also includes an analogue-to-digital converter arranged to receive the EEG signal from the input terminal and convert the EEG signal to a digital EEG signal. A data processing apparatus within the bioamplifier is arranged to receive the digital EEG signal from the analogue-to-digital converter and programmed to process, in real time the digital EEG signal using a first machine learning model to generate a cleaned EEG signal having a higher signal-to-noise ratio than the digital EEG signal. The bioamplifier further includes a power source to provide electrical power to the analogue-to-digital converter and the data processing apparatus. The bioamplifier includes a housing that contains the analogue-to-digital converter, the data processing apparatus, the power source, and the sensor input.