Pain level detection and characterization using capacitive sensors

• US 10,076,277 B2
• Filed: 01/15/2016
• Issued: 09/18/2018
• Est. Priority Date: 01/22/2015
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Addison, Paul S., Watson, James N., Morland, Eric
• Primary Examiner(s): Bertram, Eric D.
• Application Number:
  US14/996,453
• Publication Number:
  US 20160213310A1
• Time in Patent Office: 977 Days
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4821 Determining level or depth of anaesthesia A61B5/1106 takes precedence
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence

Abstract

Systems, methods, sensors, and software for providing enhanced measurement and detection of patient pain response are provided herein. In a first example, a measurement system is provided that includes a capacitive system configured to measure a capacitance signal of tissue of the patient using a capacitive sensor proximate to the tissue of the patient. The measurement system also includes a patient monitor configured to measure an electrical signal representing brain activity of the patient. The measurement system also includes a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

Claims

1. A measurement system to detect pain response in a patient, the measurement system comprising:

one or more patient sensors, disposed proximate to the patient, at least one of the patient sensors having at least two capacitive elements positioned on opposite sides of tissue of the patient;

a capacitive system configured to measure a capacitance signal for the tissue of the patient, using at least one of the one or more patient sensors;

a patient monitor configured to measure an electrical signal representing brain activity of the patient, using at least one of the one or more patient sensors; and

a processing system configured to determine pain metrics based at least on the capacitance signal and the electrical signal, and determine a pain response of the patient based at least on the pain metrics and pain calibration information for the patient.

2. The measurement system of claim 1, wherein the capacitive system is configured to measure the capacitance signal with one or more capacitor plates proximate to the tissue of the patient.

3. The measurement system of claim 1, wherein the processing system is configured to determine the pain metrics based on direct current (DC) trends in ones of the capacitance signal and the electrical signal.

4. The measurement system of claim 1, wherein the processing system is configured to determine the pain response by at least correlating the pain metrics to further pain metrics identified for the patient that are derived from at least one of a respiration rate, heart rate, electroencephalogram (EEG) data, and photoplethysmogram (PPG) data.

5. The measurement system of claim 4, comprising:

the processing system configured to determine the further pain metrics from one or more signals received from measurement equipment configured to measure physiological parameters of the patient.

6. The measurement system of claim 1, comprising:

wherein the pain metrics comprise percentage modulation (PMOD) changes of the capacitance signal that are identified based at least on oscillation amplitude relative to baseline amplitude of the capacitance signal.

7. The measurement system of claim 1, comprising:

the processing system configured to correlate the pain metrics to vasoconstriction metrics derived from plethysmograph data of the patient to determine the pain response.

8. The measurement system of claim 1, wherein the capacitance signals comprise a capacitance plethysmogram (CPG);

and comprising;

the processing system configured to correlate frequency components of the CPG to frequency components of a photoplethysmogram (PPG) of the patient to identify pain response.

9. The measurement system of claim 1, wherein the pain calibration information comprises capacitance measurements of the patient during one or more calibration stimuli.

10. A method of operating a measurement system to detect pain response in a patient, the method comprising:

measuring a capacitance signal for tissue of the patient using a capacitive sensor proximate to the tissue of the patient, having at least two capacitive elements positioned on opposite sides of tissue of the patient;

measuring an electrical signal representing brain activity of the patient using a brain activity sensor proximate to the tissue of the patient; and

determining a pain response of the patient based at least in part on pain metrics derived from the capacitance signal, the electrical signal, and pain calibration information for the patient.

11. The method of claim 10, wherein the capacitive sensor comprises one or more capacitor plates arranged on the tissue of the patient.

12. The method of claim 10, further comprising:

determining the pain metrics based on direct current (DC) trends in ones of the capacitance signal and the electrical signal.

13. The method of claim 10, wherein determining the pain response comprises correlating the pain metrics to further pain metrics identified for the patient that are derived from at least one of a respiration rate, heart rate, electroencephalogram (EEG) data, and photoplethysmogram (PPG) data.

14. The method of claim 13, further comprising:

determining the further pain metrics from one or more signals received from measurement equipment configured to measure physiological parameters of the patient.

15. The method of claim 10, wherein the pain metrics comprise percentage modulation (PMOD) changes of the capacitance signal that are identified based at least on oscillation amplitude relative to baseline amplitude of the capacitance signal.

16. The method of claim 10, wherein determining the pain response comprises correlating the pain metrics to vasoconstriction metrics derived from plethysmograph data of the patient.

17. The method of claim 10, wherein the capacitance signals comprise a capacitance plethysmogram (CPG);

and wherein determining the pain response comprises correlating frequency components of the CPG to frequency components of a photoplethysmogram (PPG) of the patient.

18. The method of claim 10, wherein the pain calibration information comprises capacitance measurements of the patient during one or more calibration stimuli.

19. An apparatus comprising:

one or more computer readable storage media; and

program instructions stored on the one or more computer readable storage media for at least identifying a pain response in a patient, that when executed by a processing system, direct the processing system to at least;

monitor a capacitance signal for tissue of the patient using at least two capacitor elements applied to opposite sides of the tissue of the patient;

process the capacitance signal to derive one or more capacitive pain metrics for the patient;

identify an electrical signal representing brain activity of the patient, using at least one electrical sensor applied to the tissue of the patient;

determine the pain response of the patient based at least on correlating the electrical signal to the capacitive pain metrics.

20. The apparatus of claim 19, wherein the processing instructions further direct the processing system to:

calibrate the pain response of the patient using at least a predetermined pain stimulus calibration to establish at least one pain response threshold; and

report an indication of the pain response when the pain response rises above the at least one pain response threshold.