Systems and methods for monitoring pain management

• US 8,412,295 B2
• Filed: 03/31/2010
• Issued: 04/02/2013
• Est. Priority Date: 03/31/2009
• Status: Active Grant

• Current Assignee: Nellcor Puritan Bennett Ireland
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: Sethi, Rakesh, Addison, Paul Stanley, Watson, James N., Edney, Paul A.
• Primary Examiner(s): Perkey, W. B.
• Application Number:
  US12/750,944
• Publication Number:
  US 20100249556A1
• Time in Patent Office: 1,098 Days
• Field of Search: 600/322, 600/324
• US Class Current: 600/322
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 5/02125 of pulse wave propagation time
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4824 Touch or pain perception evaluation A61B5/4821 takes precedence
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

The present disclosure relates to systems and methods for monitoring pain management using measurements of physiological parameters based on a PPG signal. A reference physiological parameter may be compared against a later measurement to identify a change in condition that may indicate a pain management problem.

Claims

1. A method for monitoring pain management, comprising:

detecting, using a sensor, a PPG signal;

generating, using a processor, a PPG waveform based at least in part on the PPG signal;

analyzing, using the processor, one or more baseline features of the PPG waveform;

determining, using the processor, that the one or more baseline features of the PPG waveform deviates over time more than a selected amount; and

generating a signal, wherein the signal indicates at least one of the group of;

an alarm, a request to provide pain management, a request to provide sedation, and a request to provide pain medication.

2. The method of claim 1 further comprising transforming, using the processor, the PPG signal.

3. A method for monitoring pain management, comprising:

detecting, using a sensor, a PPG signal;

generating, using a processor, a PPG waveform based at least in part on the PPG signal;

analyzing, using the processor, one or more baseline features of the PPG waveform;

determining, using the processor, that the one or more baseline features of the PPG waveform deviates over time more than a selected amount;

determining, using the processor, an effectiveness of the pain management or sedation based at least in part on data indicating the deviation over time from the one or more baseline features of the PPG waveform; and

generating a signal.

4. The method of claim 3 wherein determining, using the processor, the effectiveness of the pain management or sedation is further based on physiological measurement information.

5. A system for monitoring pain management, comprising:

a sensor having at least one emitter and at least one detector configured to detect a PPG signal, the sensor coupled to a processor and control circuitry configured to;

generate a PPG waveform based at least in part on the PPG signal;

analyze one or more baseline features of the PPG waveform;

determine that the one or more baseline features of the PPG waveform deviates over time more than a selected amount; and

generate a signal, wherein the signal indicates at least one of the group of;

an alarm, a request to provide pain management, a request to provide sedation, and a request to provide pain medication.

6. The system of claim 5 wherein the control circuitry is further configured to transform the PPG signal.

7. A system for monitoring pain management, comprising:

a sensor having at least one emitter and at least one detector configured to detect a PPG signal, the sensor coupled to a processor and control circuitry configured to;

generate a PPG waveform based at least in part on the PPG signal;

analyze one or more baseline features of the PPG waveform;

determine that the one or more baseline features of the PPG waveform deviates over time more than a selected amount;

determine an effectiveness of the pain management or sedation based at least in part on data indicating the deviation over time from the one or more baseline features of the PPG waveform; and

generate a signal.

8. The system of claim 7 wherein the determine an effectiveness of the pain management or sedation is further based on physiological measurement information.