Smart prediction of neurological injury
US11344075B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2018 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Apr 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01L5/0052
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems, methods, and computer-readable media are described for predicting a neurological injury to a participant in an activity. The activity can be, for example, an athletic activity that involves repeated, high-impact collisions between participants. Sensor data reflecting interactions between participants in the activity is received from various wearable and non-wearable sensors. The sensor data is evaluated in conjunction with a baseline neurological risk profile of a participant to determine a likelihood that the participant has suffered a potential neurological injury. If this likelihood meets a threshold risk level, an onsite request/response test is initiated to glean more information relating to the participant's condition. Response data associated with the onsite test is cognitively evaluated to determine an updated likelihood of neurological injury to the participant and a follow-up action is determined based on the updated likelihood of neurological injury.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.