Systems and methods for using eye movements to determine traumatic brain injury
Systems and methods for detecting a traumatic brain injury (TBI). The system comprises a sensing arrangement and a control unit. The sensing arrangement collects eye movement data of a user. The control unit is in communication with the sensing arrangement and configured to compare the eye movement data to one or more baseline measurements of eye movement dynamics. The control unit is also configured to generate an alert indicating the presence or severity of the TBI for delivery to control unit administrator if the eye movement data diverges from one or more of the baseline measurements by a threshold amount.
1. A method of determining a traumatic brain injury (TBI) of a user, the method comprising:
obtaining eye movement data related to the user;
calculating eye movement dynamics from the eye movement data, the eye movement dynamics including an intersaccadic parameter;
comparing the eye movement data, including the intersaccadic parameter, to a baseline measurement; and
delivering an alert indicating results of the comparison, the results including one of a presence, absence, progression, or a severity of the TBI.
2. The method of claim 1 , wherein the intersaccadic parameter relates to intersaccadic drift.
3. The method of claim 1 , wherein the intersaccadic parameter comprises intersaccadic drift velocity.
4. The method of claim 1 , wherein the baseline measurement includes eye movement data corresponding to a known injured condition.
5. The method of claim 1 , wherein the baseline measurement includes eye movement data corresponding to a normal, non-injured condition.
6. The method of claim 1 , wherein comparing the eye movement to the baseline measurement further comprises determining a deviation from the baseline measurement.
7. The method of claim 1 , wherein the baseline measurement is calibrated to the user.
8. A system for determining a traumatic brain injury (TBI) of a user, the system comprising:
a sensing arrangement that records eye movement data;
a control unit including processing hardware to:
obtain eye movement data related to the user from the sensing arrangement;
calculate eye movement dynamics from the eye movement data, the eye movement dynamics including an intersaccadic parameter;
compare the eye movement data, including the intersaccadic parameter, to a baseline measurement; and
deliver an alert indicating results of the comparison, the results including one of a presence, absence, progression, or a severity of the TBI.
9. The system of claim 8 , wherein the sensing arrangement is integrated into a handheld scanning device.
10. The system of claim 8 , wherein the sensing arrangement is integrated into eyewear configured to be worn by the user.
11. The system of claim 8 , wherein the sensing arrangement is integrated with the control unit.
12. The system of claim 8 , wherein the sensing arrangement is disposed physically remotely from the sensing arrangement.
13. The system of claim 8 , wherein the intersaccadic parameter comprises intersaccadic drift velocity.
14. The system of claim 8 , wherein the baseline measurement is derived from averaged eye movement data of a plurality of subjects.
15. A method of determining a traumatic brain injury (TBI) of a user, the method comprising:
receiving a calibration set of eye movement data specific to the user for a first time period;
extracting calibration eye movement dynamics, including an intersaccadic parameters, from the calibration set of eye movement data;
updating a data model based on the calibration eye movement dynamics;
receiving eye movement data specific to the user for a second time period;
extracting eye movement dynamics, including an intersaccadic parameter, from the eye movement data;
comparing the eye movement dynamics, including the intersaccadic parameter, to the updated data model; and
delivering an alert indicating results of the comparison, the results including one of a presence, absence, progression, or a severity of the TBI.
16. The method of claim 15 , wherein the data model includes a plurality of intersaccadic drift velocities plotted along a curve ranging from a threshold-normal value to a threshold-TBI value.
17. The method of claim 15 , wherein the data model includes baseline measurements of eye movement dynamics.
18. The method of claim 15 , wherein the data model represents a progression of eye movement dynamics of the user from a “normal” condition to an “injury” condition.
19. The method of claim 15 , wherein the intersaccadic parameter comprises intersaccadic drift velocity.
20. The method of claim 15 , wherein updating the data model includes determining a deviation of a user-specific threshold-normal intersaccadic parameter from a threshold-normal intersaccadic parameter of the data model.