Certains contenus de cette application ne sont pas disponibles pour le moment.
Si cette situation persiste, veuillez nous contacter àObservations et contact
1. (WO2018226809) SYSTÈMES ET PROCÉDÉS DE DÉTECTION D'ACCIDENTS VASCULAIRES CÉRÉBRAUX
Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique

CLAIMS

We claim:

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

a sensor device configured to obtain physiological data from a patient; and

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

receive the physiological data from the sensor device;

compare the physiological data with reference data; and

based on the comparison, 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 the reference data; and

based on the comparison, provide a patient stroke indicator.

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

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

7. The system of claim 6, wherein the non-patient physiological data comprises a library of physiological data from stroke patients.

8. The system of claim 6, wherein the non-patient physiological data comprises a library of physiological data from non-stroke patients.

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 physiological patient data from a sensor device;

comparing the physiological patient data with reference data; and

based on the comparison, 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 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 physiological data comprises brain activity data from a first brain hemisphere of the patient, and wherein the reference data comprises brain activity data from a second brain hemisphere of the patient.

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

14. The computer-readable medium of claim 13, wherein the non-patient physiological data comprises a library of physiological data from stroke patients.

15. The computer-readable medium of claim 13, wherein the non-patient physiological data comprises a library of physiological data from non-stroke patients.

16. A method for detecting strokes, comprising:

obtaining physiological data from a patient with a sensor device;

comparing the physiological data with reference data; and

based on the comparison, providing a patient stroke indicator.

17. The method of claim 16, wherein obtaining 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.

18. The method of claim 16, 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.

19. The method of claim 18, further comprising:

comparing the additional physiological data with the reference data; and

based on the comparison, providing a patient stroke indicator.

20. The method of claim 16, wherein the physiological data comprises brain activity data from a first brain hemisphere of the patient, and wherein the reference data comprises brain activity data from a second brain hemisphere of the patient.

21. The method of claim 16, wherein the reference data comprises non-patient physiological data.

22. The method of claim 21, wherein the non-patient physiological data comprises a library of physiological data from stroke patients.

23. The method of claim 21, wherein the non-patient physiological data comprises a library of physiological data from non-stroke patients.

24. The method of claim 16, wherein obtaining physiological data from the patient comprises obtaining physiological data while the patient remains passive.

25. The method of claim 16, wherein obtaining physiological data from the patient comprises:

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

recording patient physiological data while the patient attempts to perform the one or more actions.

26. The method of claim 26, wherein the one or more actions comprises at least one of: lifting a limb, moving a hand or fingers, speaking, or smiling.

27. A method for detecting strokes, comprising:

receiving physiological patient data;

comparing the physiological patient data with reference data; and

based on the comparison, providing a patient stroke indicator.

28. The method of claim 27, wherein the physiological patient data comprises brain activity data.

29. The method of claim 28, wherein the physiological patient data further 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.

30. The method of claim 27, wherein the physiological patient data comprises brain activity data from a first brain hemisphere of the patient, and wherein the reference data comprises brain activity data from a second brain hemisphere of the patient.

31. The method of claim 27, wherein the reference data comprises non-patient physiological data.

32. The method of claim 31, wherein the non-patient physiological data comprises a library of physiological data from stroke patients.

33. The method of claim 31, wherein the non-patient physiological data comprises a library of physiological data from non-stroke patients.