NDLI: PhysioDoloris: a monitoring device for Analgesia / Nociception balance evaluation using Heart Rate Variability analysis

Content Provider	IEEE Xplore Digital Library
Author	Logier, R. Jeanne, M. De jonckheere, J. Dassonneville, A. Delecroix, M. Tavernier, B.
Copyright Year	2010
Description	Author affiliation: INSERM CIC-IT 807, University Hospital of Lille, H. Salengro, 2 avenue Oscar Lambret, 59037 Lille Cedex, France (Jeanne, M.; Delecroix, M.; Tavernier, B.) \|\| INSERM CIC-IT 807, University Hospital of Lille, Institut Hippocrate, 2 avenue Oscar Lambret 59037 Lille Cedex, france (Logier, R.; De jonckheere, J.; Dassonneville, A.)
Abstract	Continuous Analgesia / Nociception balance evaluation during general anesthesia could be of precious help for the optimization of analgesic drugs delivery, limiting the risk of toxicity due to the use of opioid drugs, limiting the risk of post operative hyper algesia, and, probably, reducing time of recovery after surgical procedure. Heart Rate Variability analysis has been shown in several studies to measure the Autonomic Nervous System tone, which is strongly influenced by anesthetic drugs. Recording RR series during general anesthesia enabled us to observe that the Respiratory Sinus Arrhythmia pattern changed when a surgical stimulation was painful, even though the patient was not conscious. We have previously developed and evaluated a pain / analgesia measurement algorithm based on the magnitude analysis of the respiratory patterns on the RR series. In this paper, we present the development of a monitoring device (PhysioDoloris), based on the previously described technology, giving in real time an Analgesia Nociception Index (ANI) which can be used during general anesthesia in order to give to the anesthetist, a complementary tool for optimized drug delivery.
Starting Page	1194
Ending Page	1197
File Size	404034
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5625971
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart rate variability Pain Wavelet transforms Surgery Band pass filters Anesthesia Heart Rate Variability Analgesia Monitoring Pain Evaluation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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PhysioDoloris: a monitoring device for Analgesia / Nociception balance evaluation using Heart Rate Variability analysis

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PhysioDoloris: a monitoring device for Analgesia / Nociception balance evaluation using Heart Rate Variability analysis