Systems and methods for detecting strokes

1. A system for detecting strokes, the system comprising:

a sensor device configured to obtain physiological data from a patient, the sensor device comprising a sensor array including a plurality of electrodes configured to acquire one or more physiological signals from the patient, the physiological data including at least brain activity data; and

a computing device communicatively coupled to the sensor device, the computing device configured to:

receive input regarding an impaired functionality experienced by the patient;

select one or more of the plurality of electrodes at brain locations of the patient associated with the impaired functionality;

generate passive physiological analysis results by:

receiving passive physiological data from the selected one or more of the plurality of electrodes, the passive physiological data comprising physiological data obtained while the patient remains passive; and

comparing the passive physiological data with passive reference data, the passive reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality;

generate active physiological analysis results by:

providing a prompt for the patient to perform one or more actions;

receiving active physiological data from the selected one or more of the plurality of electrodes, the active physiological data comprising physiological data obtained while the patient attempts to perform the one or more actions; and

comparing the active physiological data with active reference data, the active reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality; and

based on the passive physiological analysis results and the active physiological analysis results, provide a patient stroke indicator.

2. The system of claim 1 , wherein the sensor device comprises at least one of: an EEG array, an MEG array, an fMRI device, a PET scanner, or a CT scanner.

3. The system of claim 1 , further comprising one or more additional sensor devices configured to obtain additional physiological data from the patient, the one or more additional sensors including at least one of: an accelerometer, a near-infrared sensor, an ultrasound sensor, a heart rate monitor, a blood pressure monitor, a respiration monitor, an electromyography (EMG) sensor, an electrocardiography (ECG) sensor, a galvanic skin sensor, a thermometer, or a camera.

4. The system of claim 3 , wherein the computing device is further configured to:

receive the additional physiological data from the one or more additional sensor devices;

compare the additional physiological data with additional reference data; and

based on the comparison, provide a patient stroke indicator.

5. The system of claim 1 , wherein the passive physiological data comprises brain activity data from a first brain hemisphere of the patient, and wherein the passive reference data comprises brain activity data from a second brain hemisphere of the patient.

6. The system of claim 1 , wherein the passive reference data further comprises non-patient physiological data.

7. The system of claim 1 , the passive reference data comprising a library of physiological data obtained from a plurality of stroke patients, the library of physiological data comprising measurements from each of the plurality of patients corresponding to brain locations associated with the impaired functionality.

8. The system of claim 1 , the passive reference data comprising physiological data taken from at least one location of the brain of the patient other than the brain locations of the patient corresponding to the impaired functionality.

9. A computer-readable medium storing instructions that, when executed by one or more processors of a computing device, cause the computing device to perform operations, the operations comprising:

receiving input regarding an impaired functionality experienced by the patient;

selecting one or more of a plurality of electrodes in a sensor array at brain locations of the patient associated with the impaired functionality;

generating passive physiological analysis results by:

receiving passive physiological data from the selected one or more of the plurality of electrodes, the passive physiological data comprising physiological data obtained while the patient remains passive; and

comparing the passive physiological data with passive reference data, the passive reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality;

generating active physiological analysis results by:

providing a prompt for the patient to perform one or more actions;

receiving active physiological data from the selected one or more of the plurality of electrodes, the active physiological data comprising physiological data obtained while the patient attempts to perform the one or more actions; and

comparing the active physiological data with active reference data, the active reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality; and

based on the passive physiological analysis results and the active physiological analysis results, providing a patient stroke indicator.

10. The computer-readable medium of claim 9 , wherein the sensor device comprises at least one of: an EEG array, an MEG array, an fMRI device, a PET scanner, or a CT scanner, and wherein the physiological patient data comprises brain activity data.

11. The computer-readable medium of claim 9 , wherein the passive physiological patient data comprises at least one of: motion data, blood constituent data, blood flow data, heart rate data, blood pressure data, respiration data, EMG data, ECG data, pH data, temperature data, or skin galvanic response data.

12. The computer-readable medium of claim 9 , wherein the passive physiological data comprises brain activity data from a first brain hemisphere of the patient, and wherein the passive reference data comprises brain activity data from a second brain hemisphere of the patient.

13. The computer-readable medium of claim 9 , wherein the passive reference data further comprises non-patient physiological data.

14. A method for detecting strokes, comprising:

receiving input regarding an impaired functionality experienced by the patient;

selecting one or more of a plurality of electrodes in a sensor array at brain locations of the patient associated with the impaired functionality;

generating passive physiological analysis results by:

obtaining passive physiological data from a patient with the selected one or more of the plurality of electrodes, the passive physiological data comprising physiological data obtained while the patient remains passive;

comparing the passive physiological data with passive reference data, the passive reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality; and

generating active physiological analysis results by:

providing a prompt for the patient to perform one or more actions;

receiving active physiological data from the selected one or more of the plurality of electrodes, the active physiological data comprising physiological data obtained while the patient attempts to perform the one or more actions; and

comparing the active physiological data with active reference data, the active reference data received from one or more of the plurality of electrodes at brain locations other than those associated with the impaired functionality; and

based on the passive physiological analysis results and the active physiological analysis results, providing a patient stroke indicator.

15. The method of claim 14 , wherein obtaining passive physiological data from the patient comprises obtaining brain activity data with at least one of: an EEG array, an MEG array, an fMRI device, a PET scanner, or a CT scanner.

16. The method of claim 14 , further comprising obtaining additional physiological data from the patient with one or more additional sensor devices, including at least one of: an accelerometer, a near-infrared sensor, an ultrasound sensor, a heart rate monitor, a blood pressure monitor, a respiration monitor, an electromyography (EMG) sensor, an electrocardiography (ECG) sensor, a galvanic skin sensor, a thermometer, or a camera.

17. The method of claim 16 , further comprising:

comparing the additional physiological data with additional reference data; and

based on the comparison, providing a patient stroke indicator.

18. The method of claim 14 , wherein the passive physiological data comprises brain activity data from a first brain hemisphere of the patient, and wherein the passive reference data comprises brain activity data from a second brain hemisphere of the patient.

19. The method of claim 14 , wherein the passive reference data further comprises non-patient physiological data.

20. The method of claim 14 , wherein the one or more actions comprises at least one of: lifting a limb, moving a hand or fingers, speaking, or smiling.