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PAIN AND STRESS MEASUREMENT DURING GENERAL ANESTHESIA USING THE RESPIRATORY SINUS ARRHYTHMIA


Measuring intraoperative pain and stress during general anesthesia is still problematic. Instead of having access to meaningful and robust pain measurements, anesthetists must use their experience and intuition to ensure a proper pain therapy. The correct dosage of analgesics is crucial for a stable patient, since underdosing may lead to neurogenic shock. Overdosing can result in critically low blood pressures and heart rates. Several possible approaches towards measuring pain have been proposed in the last years. We briefly summarize them and evaluate their usability in a general anesthesia setting. A promising approach is given by the Analgesia Nociception Index. We developed an advanced algorithm, called the Surgical Analgesia Index, which improves its concept for the use in a fully connected smart operating room. This paper is dedicated to its description, preliminary validation and comparison against the original index.

Keywords:
Pain, Respiratory Sinus Arrhythmia, Heart Rate Variability, Analgesia Nociception Index, Spectral Analgesia Index


Autoři: Janosch Kunczik 1;  Marcus Koeny 1;  Michael Czaplik 2;  Vladimir Blazek 1,3;  Steffen Leonhardt 1
Působiště autorů: Chair for Medical Information Technology, Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstrasse 0, 5 074 Aachen, Germany 1;  Department of Anesthesiology, University Hospital RWTH Aachen, Aachen, Germany 2;  The Czech Institute of Informatics, Robotics and Cybernetics, CTU Prague, Prague, Czech Republic 3
Vyšlo v časopise: Lékař a technika - Clinician and Technology No. 4, 2017, 47, 135-140
Kategorie: Původní práce

Souhrn

Measuring intraoperative pain and stress during general anesthesia is still problematic. Instead of having access to meaningful and robust pain measurements, anesthetists must use their experience and intuition to ensure a proper pain therapy. The correct dosage of analgesics is crucial for a stable patient, since underdosing may lead to neurogenic shock. Overdosing can result in critically low blood pressures and heart rates. Several possible approaches towards measuring pain have been proposed in the last years. We briefly summarize them and evaluate their usability in a general anesthesia setting. A promising approach is given by the Analgesia Nociception Index. We developed an advanced algorithm, called the Surgical Analgesia Index, which improves its concept for the use in a fully connected smart operating room. This paper is dedicated to its description, preliminary validation and comparison against the original index.

Keywords:
Pain, Respiratory Sinus Arrhythmia, Heart Rate Variability, Analgesia Nociception Index, Spectral Analgesia Index


Zdroje

1. Luginbuehl, M., Shumacher, P., Vuilleumier, P., Vereecke, H., Heise, B., Bouillon, T., Styrus, M.: Noxious Stimulation Response Index A Novel Anesthetic State Index Based on Hypnotic Opioid Interaction. In The Journal of the American Society of Anesthesiologists. Volume 112, 872–880.

2. Wennervirta, J., Hynynen, M., Koivusalo, A.-M., Uutela, K., Huiku, M., Vakkuri, A.: Surgical Stress Index as a Measure of Nociception/Antinociception Balance During General Anesthesia. In Acta Anaesthesiologica Scandinavica, vol. 52 2008.

3. Gholami, B., Haddad, M. M., Tannenbaum, A. R.: Relevance Vector Machine Learning for Neonate Pain Intensity Assessment Using Digital Imaging, In IEEE Transactions on Biomedical Engineering, vol. 57, no. 6, pp. 1457,1466, June 2010 doi: 10.1109/TBME.2009.2039214.

4. Logier, R., Jeanne, M., Tavernier, B., De Jonckheere, J.: Pain/Analgesia Evaluation Using Heart Rate Variability Analysis. In Engineering in Medicine and Biology Society, 2006. EMBS ’06. 28th Annual International Conference of the IEEE. ISBN 1557170X, 4303–4306.

5. Berntson, G., Cacioppo, J., Quigley, K.: Respiratory Sinus Arrhythmia: Autonomic Origins, Physiological Mechanisms, and Psychophysiological Implications. Psychophysiology, 1993, 30. Jg., Nr. 2, S. 183–196.

6. Yu, Z., Liu Z., Mckenna, T., Reisner At., Reifman J.: A Method for Automatic Identification of Reliable Heart Rates Calculatd from ECG and PPG Waveforms. In Jounral of the American Medical Informatics Association: JAMIA. 2006;13(3):309–320.

7. Koeny, M., Czaplik, M., Walter, R., Rossaint, R., Leonhardt, S.: Perspectives for Anesthesia in a Manufacturer Independent Networked Operating Room. In Biomedical Engineering – Pro-ceedings BMT 2014, 2014. 48. DGBMT Jahrestagung. Volume 59, Number S1, 373–375.

8. Koeny, M., Blanik, N., Yu, X., Czaplik, M., Walter, M., Rossaint, R., Leonhardt, S.: Using Photoplethysmography Imaging For Objective Contactless Pain Assessment. In Acta Polytechnica. Volume 54, Number 4, 275–280.

9. Koeny, M., Yu, X., Czaplik, M., Walter, M., Rossaint, R., Leonhardt, S.: Computing the Analgesia Nociception Index Based on PPG Signal Analysis. In Twenty-sixth European Congress on Surgical Infection, 2013.

10. Malik, M.: Heart rate variability. In Annals of Noninvasive Electrocardiology, 1996, 1(2), 151–181.

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