Head impact analysis and comparison system
Inventors
Mack, Christoph • Kuznetsova, Marina • Votaw, Scott • Snook, Robert
Assignees
Prevent Biometrics • Seige As A Collateral Agent Christopher • Prevent Biometrics Inc
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Abstract
Systems and methods for head impact injury prediction. A computer implemented method is provided for event based injury predictions. The computer implemented method receives an indication of sensor data related to an impact of a user. The received sensor data is compared to previously stored sensor data in a data store. Each instance of the previously stored sensor data is associated with a medical diagnosis. If the received sensor data matches any of the previously stored sensor data based on the comparison, then an injury risk indicator is generated based on at least one of the medical diagnosis associated with the matching previously stored sensor data or an impact history of the user. The generated indicator is presented.
Core Innovation
A head impact analysis system receives impact data related to an impact parameter for an impact event experienced by a head of a user. The system includes a sensor configured to be worn on the head and to detect a head impact parameter, a processor, and memory storing programming instructions. The sensor detects an impact parameter, and the processor receives impact parameter data related to an impact parameter for an impact event.
The processor compares the received impact parameter data to previously stored impact parameter data in a data store. The previously stored impact parameter data is associated with prior impact events and is organized into a plurality of categories in accordance with a plurality of outcomes associated with the prior impact events. Based on the comparison, the system generates an association between the impact event and one or more of the prior impact events.
Generating an association includes associating the impact event with one of the plurality of categories. In particular embodiments, the categories correspond to concussion-related indications and can include determining a concussion-related percentage across associated events.
Claims Coverage
The two independent claims define a computer-implemented method and a computer system that receive head impact parameter data, compare it to previously stored impact parameter data organized into outcome-based categories, and generate an association between the current impact event and prior impact events by assigning the current event to one of the categories. Each independent claim includes core inventive features centered on category-based association from categorized prior impact outcomes.
Receiving impact parameter data for a head impact event
Receiving impact data related to an impact parameter for an impact event experienced by a head of a user; for the system, receiving impact parameter data related to an impact parameter for an impact event experienced by the head of a user.
Comparing categorized prior impact parameter data associated with outcomes
Comparing the impact parameter data to previously stored impact parameter data in a data store, wherein the previously stored impact parameter data is associated with prior impact events and is organized into a plurality of categories in accordance with a plurality of outcomes associated with the prior impact events.
Generating an association by assigning the impact event to a plurality of outcome categories
Generating an association between the impact event and one or more of the prior impact events, wherein generating an association comprises associating the impact event with one of the plurality of categories; for the system, generating an association between the impact event and one or more of the prior impact events including by associating the impact event with one of the plurality of categories.
Using concussion-related indications to drive associations
Associating impact events with prior impact events by using stored data that includes whether persons associated with the prior impact events experienced a concussion, thereby generating an association that indicates a concussion.
Across the independent claims, the invention is directed to generating an association between a current head impact event and one or more prior impact events by comparing received impact parameter data to previously stored impact parameter data organized into outcome-based categories, with concussion-related indications used to drive the association in at least some embodiments.
Stated Advantages
Generates an injury risk indicator and predicted outcome by generating an association between an impact event and prior impact events categorized by outcomes.
Produces classification into urgency categories (GREEN LIGHT/YELLOW LIGHT/RED LIGHT) and near real-time alerts.
Documented Applications
Displayed for coaches/trainers and delivered to mobile/user devices using near real-time alerts/records based on an injury prediction engine and generated association.
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