Obstetric analgesia system

• US 8,211,015 B2
• Filed: 01/07/2011
• Issued: 07/03/2012
• Est. Priority Date: 02/01/2006
• Status: Expired due to Fees

• Current Assignee: Convergent Engineering, Inc., University of Florida Research Foundation, Incorporated (State University System of Florida)
• Original Assignee: Convergent Engineering, Inc., University of Florida Research Foundation, Incorporated (State University System of Florida)
• Inventors: Euliano, Tammy Y., Euliano, Neil Russell II, Principe, Jose C., Marossero, Dorothee
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): D'Angelo, Michael
• Application Number:
  US12/986,520
• Publication Number:
  US 20110192398A1
• Time in Patent Office: 543 Days
• Field of Search: 600 26- 28, 600/304, 600/511, 607/46
• US Class Current: 600/304
• CPC Class Codes: A61B 5/033 Uterine pressure
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/4356 Assessing uterine contractions A61B5/033 takes precedence
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61N 1/36021 for treatment of pain

Abstract

The present invention relates to systems and methods for providing a short-acting analgesic agent in the management of pain during labor, wherein the system enables efficient, real-time prediction of contractions for the coordinated administration of analgesia such that the peak effectiveness of the analgesic coincides with the intermittent pain of labor.

Claims

1. A maternal labor pain management system comprising:

a) at least one analgesic pain management means;

b) a system for administering the pain management means, wherein the system for administering the pain management means is a patient controlled system; and

c) a system for analyzing uterine activity in the prediction of labor contractions to predict time of contraction onset relevant for use in coordinating the administration of the pain management means, wherein the system for analyzing uterine activity provides at least one signal regarding the predicted time of contraction onset and wherein the system for analyzing uterine activity is operably connected to the system for administering the pain management means, wherein the system for analyzing uterine activity comprises;

i) at least two abdominal electrode sensors to receive a mixture of maternal and fetal vital signals; and

ii) a computing means for analyzing the mixture of maternal and fetal vital signals from the sensors, said computing means including hardware and software, wherein said software comprises a function to extract electrohysterogram (EHG) data from the maternal and fetal vital signals for use in determining the predicted time of contraction onset, and

wherein the system for administering the pain management means is responsive to the predicted time of contraction onset determined by the computing means to automatically initiate and cease the delivery of the analgesic pain management means.

2. The maternal labor pain management system of claim 1, wherein at least two pain management means are provided.

3. The maternal labor pain management system of claim 2, wherein the pain management means is selected from the group consisting of:

analgesics, anesthetics, sedatives, tranquilizers, narcotic antagonist combinations, and electrical stimulation devices.

4. The maternal labor pain management system of claim 1, wherein the signal(s) regarding the predicted time of contraction onset is provided audibly, visibly or tactilely.

5. The maternal labor pain management system of claim 1, wherein the system for analyzing uterine activity further includes, in addition to the abdominal electrodes, any one or more sensor selected from the group consisting of:

maternal sensation, an intrauterine pressure catheter, a tocodynamometer, and a uterine electromyogram.

6. A method for administering an analgesic to an obstetric patient, where said method comprises:

a) utilizing a maternal labor pain management system comprising;

1) at least one analgesic pain management means;

2) a system for administering the pain management means; and

3) a system for analyzing uterine activity in the prediction of labor contractions to predict time of contraction onset relevant for use in coordinating the administration of the pain management means, wherein the system for analyzing uterine activity provides at least one signal regarding the predicted time of contraction onset and wherein the system for analyzing uterine activity is operably connected to the system for administering the pain management means, wherein the system for analyzing uterine activity comprises;

i) at least two abdominal electrode sensors to receive maternal and fetal signals; and

ii) a computing means for analyzing the maternal and fetal signals from the sensors, said computing means including hardware and software, wherein said software comprises a function to extract electrohysterogram (EHG) data from the maternal and fetal signals for use in determining the predicted time of contraction onset, and

wherein the system for administering the pain management means is responsive to the predicted time of contraction onset determined by the computing means to automatically initiate and cease the delivery of the analgesic pain management means, and

b) receiving into the computing means signals received by the abdominal electrode sensors;

c) implementing the computing means, without clinician input, to evaluate the signals to determine the predicted time of contraction onset; and

d) recommending, without clinician input, a time for administering the analgesic pain management means based on the predicted time of contraction onset, wherein said administration time is appropriate for the patient at that particular contraction.

7. The method of claim 6, further comprising the step of automatically delivering the analgesic pain management means to the patient based on the reconirnendation derived from step (d).

8. The method of claim 6, wherein the system for administering the pain management means further includes a gas mixing valve for a volatile anesthetic or gas.

9. The method of claim 8, wherein the volatile gas is nitrous oxide.

10. The method of claim 6, wherein the analgesic pain management means is an intravenous analgesic.

11. The method of claim 10 wherein the analgesic is Remifentanil.

12. The method of claim 6, further comprising the step of signaling the appropriate time for administering the analgesic pain management means to the patient.

13. The method of claim 12, wherein the signal is selected from the group consisting of:

an audible signal, a visible signal, and a tactile signal.

14. The method of claim 6, wherein the system for analyzing uterine activity includes, in addition to the abdominal sensors, any one or more sensors selected from the group consisting of:

maternal sensation, an intrauterine pressure catheter, a tocodynamometer, and a uterine electromyogram, to receive maternal and fetal signals.

15. The method of claim 6, wherein the computing means further comprises a neural network.

16. The method of claim 6, further comprising the step of administering electrical stimulation.

17. A maternal labor pain management system comprising:

a) at least one analgesic pain management means having a pain-relieving ability;

b) a system for administering the pain management means; and

c) a system for analyzing uterine activity in the prediction of labor contractions to predict any one or more of the following contraction data selected from the group consisting of;

contraction frequency, contraction duration, contraction intensity, time of history of contractions, and extent and/or intensity of contraction-induced pain that is relevant for use in coordinating the administration of the pain management means, wherein the system for analyzing uterine activity provides at least one contraction data signal and wherein the system for analyzing uterine activity is operably connected to the system for administering the pain management means, wherein the system for analyzing uterine activity comprises;

i) at least two abdominal electrode sensors to receive a mixture of maternal and fetal vital signals; and

ii) a computing means for analyzing the mixture of maternal and fetal vital signals from the sensors, said computing means including hardware and software, wherein said software comprises a function to extract electrohysterogram (EHG) data from the maternal and fetal vital signals for use in predicting contraction data, and

wherein the system for administering the pain management means is responsive to the predicted contraction data signal to automatically initiate and cease the delivery of the analgesic pain management means such that the pain relieving ability of the analgesic coincides with the predicted contraction data.

18. The maternal labor pain management system of claim 17, wherein the system for administering the pain management means is responsive to the signal regarding the predicted extent and/or intensity of contraction-induced pain to automatically initiate and cease the delivery of the analgesic pain management means such that the pain-relieving ability of the analgesic pain management means coincides with the extent and/or intensity of contraction-induced pain.

19. The maternal labor pain management system of claim 17, further comprising a pulse oximeter and/or a respiratory rate monitoring apparatus.

20. The maternal labor pain management system of claim 17, further comprising an automated shut-off feature for shutting off the delivery of the analgesic pain management means should detrimental effects from the delivery of the analgesic pain management means be exhibited.

21. The maternal labor pain management system of claim 17, further comprising an automated feature for increasing inspired oxygen concentration following exhibited detrimental effects from the delivery of the analgesic pain management means.

22. The maternal labor pain management system of claim 17, wherein the system for analyzing uterine activity comprises at least 8 abdominal electrode sensors.