State Farm Mutual Automobile Insurance Company

Other

Melissa C Miles

Kristopher Keith Gaudin

Ryan Michael Gross

Craig Benjamin Cope

John A Cadwell

Michael K Cook

Jessica Lynn Shull

Brian Mark Fields

Mark Anthony Romero

Mark Romero

Catherine Espel-Logan

Joshua John Freitas

Jeanne Koehler

Systems and methods for automatically evaluating a vehicle seat replacement after a vehicle collision. Upon detecting a vehicle collision is detected, obtaining vehicle seat condition data from vehicle seat sensors and vehicle condition data from vehicle sensors. Analyzing the vehicle seat condition data and/or the vehicle condition data to detect one or more collision conditions indicating (i) the vehicle is not drivable, (ii) a vehicle door proximate the vehicle seat is damaged, (iii) an airbag of the vehicle is deployed, and/or (iv) the vehicle seat is visibly damaged. In response to detecting the one or more collision conditions, generating a recommendation to replace the vehicle seat and providing the recommendation to a user device.

Methods and systems for automated vehicle seat replacement

Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.

Systems and methods of monitoring and analyzing multimodal transportation usage

A training simulator for intraoperative neuromonitoring (IONM) systems includes channels where at least one of the channels is identified as an active stimulation channel and a subset of the rest of the channels is identified as reference or pick up sites. Channels of the subset having signal data that exceed a predefined threshold are retained for further processing, while channels with signal data that do not exceed the threshold are eliminated from further reporting. Response data for the remaining channels are generated in advance of a future time when the response would occur. The generated data is time stamped and stored for display at a time window when requested by the system.

Systems and methods for neurophysiological simulation

Neurophysiological monitoring training simulator

Growing community of inventors

Normal, IL, United States of America

Melissa C Miles