Systems and methods for improved brain monitoring during general anesthesia and sedation

• US 10,602,978 B2
• Filed: 09/12/2014
• Issued: 03/31/2020
• Est. Priority Date: 09/13/2013
• Status: Active Grant

• Current Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Inventors: Purdon, Patrick L., Brown, Emery N., Johnson-Akeju, Oluwaseun
• Primary Examiner(s): Agahi, Puya
• Application Number:
  US14/485,523
• Publication Number:
  US 20150080754A1
• Time in Patent Office: 2,027 Days
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/374 Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
• CPC Class Codes: A61B 5/4806 Sleep evaluation A61B5/4821 takes precedence; devices for inducing sleep A61M21/02
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

Systems and method for age-compensated monitoring of a patient experiencing administration of at least one drug having anesthetic properties are provided. In one embodiment, a system includes a plurality of sensors configured to acquire physiological data from the patient and at least one processor configured to receive the physiological data from the plurality of sensors, and determine, from the physiological data, signal markers indicative of an apparent or likely patient age. The at least one processor is also configured to at least one of scale and regulate the physiological data using at least the apparent patient age to create age-compensated data, and generate a report including the age-compensated data.

Claims

1. A system for monitoring a patient comprising:

a plurality of sensors configured to at least detect electroencephalogram (“

EEG”

) signals produced by the patient; and

a processor configured to;

generate patient-specific scout data including EEG signals detected by the plurality of sensors from the patient;

determine a power of the patient-specific scout data;

identify an apparent age of the patient using at least the power of the patient-specific scout data; and

control at least one of an acquisition, a processing, or a display scale of EEG data to compensate for an apparent age of the patient.

2. The system of claim 1, wherein the processor is further configured to analyze the power of the patient-specific scout data to identify the apparent age of the patient using at least one of reference listings, look-up tables, or models.

3. The system of claim 2, wherein the processor is further configured to analyze the power in at least one of a slow wave band, a delta band, a theta band, a beta band, and an alpha band.

4. The system of claim 2, wherein the processor is further configured to analyze the power corresponding to a frequency band ranging between 1 and 50 Hz.

5. The system of claim 1, wherein the processor is further configured to determine a brain state of the patient by analyzing the EEG data based on the apparent age of the patient.

6. The system of claim 1, wherein the processor is further configured to determine a state of anesthesia or a state of sedation of the patient by analyzing the EEG data based on the apparent age of the patient.

7. The system of claim 1, wherein the system further comprises a user interface configured to receive patient-specific information.

8. The system of claim 7, wherein the processor is further configured to identify the apparent age using the patient-specific information.

9. The system of claim 1, wherein the system further comprises a display configured to display the EEG data using the display scale controlled in accordance with the apparent age of the patient.

10. The system of claim 1, wherein the processor is further configured to analyze at least one of signal amplitudes, phases, frequencies, power spectra, or drug signatures in patient-specific scout data to further identify the apparent agent of the patient.

11. The system of claim 1, wherein the patient-specific scout data is displayed against a default scale and then displayed against a compensated scale that compensates for the apparent age of the patient.

12. The system of claim 1, wherein patient-specific scout data is displayed against the default scale and EEG signals acquired detected after the patient-specific scout data is displayed against the compensated scale.

13. The system of claim 1, wherein the processor is further configured to use at least one of Bayesian inference, machine learning methods, cross-correlation, or clustering to jointly incorporate age and EEG-related information to identify the apparent age of the patient.

14. The system of claim 1, wherein the processor is further configured to adjust at least one of an amplifier gain or a scale to compensate for an apparent age of the patient.

15. The system of claim 1, wherein the processor is further configured to assemble the EEG signals into time-series data using a multitaper approach to account for a dynamic range of signals spanning several orders of magnitude.

16. The system of claim 1, wherein the processor is further configured to analyze an amplitude of the patient-specific scout data to identify the apparent age of the patient using the patient-specific scout data.

17. The system of claim 1, wherein the processor is further configured to identify age-correlated signal markers from the patient-specific scout data and select a compensated display scale from a plurality of scales based on the age-correlated signal markers.