DEPTH OF CONSCIOUSNESS MONITOR

• US 20130331660A1
• Filed: 06/06/2013
• Published: 12/12/2013
• Est. Priority Date: 06/07/2012
• Status: Active Grant

• Current Assignee: Masimo Corporation
• Original Assignee: Masimo Corporation
• Inventors: Al-Ali, Ammar, Weber, Walter M., Lee, Sung Uk, Usman, Mohammad
• Granted Patent: US 10,542,903 B2
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61M 2205/35 Communication
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2230/04 Heartbeat characteristics, e.g. ECG, blood pressure modulation
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00

Abstract

The present disclosure relates to physiological monitoring to determine the depth of consciousness of a patient under sedation. The monitor includes an EEG sensor and a depth of consciousness monitor. The depth of consciousness monitor can utilize treatment data, such as patient data and/or drug profile information with an EEG signal to determine whether the patient is adequately sedated.

Claims

1. A depth of consciousness monitor configured to determine the level of sedation of a medical patient, the depth of consciousness monitor comprising:

an EEG interface configured to receive an EEG signal from an EEG sensor;

an EEG front end configured to pre-process the EEG signal;

a processor, configured to determine a level of sedation of a medical patient based at least upon the pre-processed EEG signal, wherein the processor is further configured to determine delay information associated with the time the EEG signal is received and the time the level of sedation is determined; and

a drug delivery device interface, configured to provide the level of sedation and the delay information to a drug delivery device.

2. The depth of consciousness monitor of claim 1, further comprising a multi-parameter physiological monitor interface configured to receive power from a multi-parameter physiological monitor and provide to the multi-parameter physiological monitor one or more of:

(a) one or more physiological signals determined by the processor, (b) the level of sedation, or (c) the delay information.

3. The depth of consciousness monitor of claim 1, wherein the EEG front end comprises an EEG engine and an EMG engine configured to extract EEG information and EMG information from the EEG signal, respectively.

4. The depth of consciousness monitor of claim 1, wherein processor is further configured to time stamp the EEG signal when received from the EEG sensor.

5. The depth of consciousness monitor of claim 1, further comprising an additional sensor front end.

6. The depth of consciousness monitor of claim 5, wherein the additional sensor front end comprises an SpO2 sensor front end.

7. The depth of consciousness monitor of claim 1, further comprising a data port configured to receive at least one of patient data and drug profile information.

8. The depth of consciousness monitor of claim 7, wherein the processor is configured to determine a level of sedation of a medical patient based at least upon the pre-processed EEG signal and the at least one of patient data and drug profile information.

9. The depth of consciousness monitor of claim 1, further comprising the EEG sensor.

10. The depth of consciousness monitor of claim 1, further comprising the drug delivery system.

11. The depth of consciousness monitor of claim 1, wherein the drug delivery device interface comprises a wireless communication device.

12. A depth of consciousness monitor configured to determine the level of sedation of a medical patient, the depth of consciousness monitor comprising:

an EEG interface configured to receive an EEG signal from an EEG sensor;

an EEG front end configured to pre-process the EEG signal;

a processor, configured to determine a level of sedation of a medical patient based at least upon the pre-processed EEG signal, the processor comprising;

two or more computing engines, each configured to compute a possible sedation level according to a different process; and

a decision logic module, configured to determine the patient'"'"'s sedation level based at least upon the possible sedation level computations; and

a data port configured to transmit the patient sedation level.

13. The depth of consciousness monitor of claim 12, wherein the data port comprises a multi-parameter physiological monitor interface configured to receive power from a multi-parameter physiological monitor and provide at least the patient sedation level to the multi-parameter physiological monitor.

14. The depth of consciousness monitor of claim 12, wherein at least one of the computing engines is configured to implement a motion vector process to compute one of the possible sedation levels.

15. The depth of consciousness monitor of claim 12, wherein at least one of the computing engines is configured to implement a phase coherence process to compute one of the possible sedation levels.

16. The depth of consciousness monitor of claim 12, wherein at least one of the computing engines is configured to utilize a brain model to compute one of the possible sedation levels.

17. The depth of consciousness monitor of claim 12, wherein the EEG front end comprises an EEG engine and an EMG engine configured to extract EEG information and EMG information from the EEG signal, respectively.

18. The depth of consciousness monitor of claim 12, wherein the data port comprises a display.

19. The depth of consciousness monitor of claim 12, wherein the data port comprises a wireless communication device.

20. A method of determining the level of sedation of a medical patient, comprising:

receiving an EEG signal indicative of a medical patient'"'"'s EEG;

receiving treatment data associated with at least one of the medical patient and a drug to be delivered to the medical patient; and

determining a level of sedation based at least upon the EEG signal and the treatment data.

21. The method of determining the level of sedation of a medical patient of claim 20, further comprising receiving power from a multi-parameter physiological monitor and providing the level of sedation to the multi-parameter physiological monitor.

22. The method of determining the level of sedation of a medical patient of claim 20, wherein the treatment data comprises at least one of a patient age, age classification, sex, weight, body-mass index, a physiological parameters, a temperature, a blood oxygen concentration, an EMG signal, a drug type, a drug class, a mechanism of delivery, and an active ingredient.

23. The method of determining the level of sedation of a medical patient of claim 20, wherein said determining a level of sedation comprises determining two or more possible levels of sedation with parallel computing engines and wherein said determining the level of sedation of the medical patient is based upon said possible levels of sedation.

24. The method of determining the level of sedation of a medical patient of claim 23, wherein said determining the level of sedation comprises averaging two or more possible levels of sedation.

25. The method of determining the level of sedation of a medical patient of claim 23, wherein said determining the level of sedation comprises selecting one of the possible levels of sedation as the level of sedation of the medical patient.

26. The method of determining the level of sedation of a medical patient of claim 23, wherein said determining the possible levels of sedation is performed with motion vector analysis.

27. The method of determining the level of sedation of a medical patient of claim 23, wherein said determining the possible levels of sedation is performed with phase coherence.

28. The method of determining the level of sedation of a medical patient of claim 23, wherein said determining the possible levels of sedation is performed with by utilizing a brain model.