Anesthesia control using midlatency auditory evoked potentials

IEEE Transactions on Bio-medical Engineering
A Nayak, R J Roy

Abstract

This paper shows the development of a system to control inhalation anesthetic concentration delivered to a patient based upon that patient's midlatency auditory evoked potentials (MLAEP's). It was developed and tested in dogs by determining response to the supramaximal stimulus of tail clamping. Prior to tail clamp, the MLAEP was recorded along with inhalational anesthetic concentration and classified as responders or nonresponders as determined by tail clamping. This was performed at a number of different anesthetic levels to obtain a data training set. The MLAEP's were compacted by means of discrete time wavelet transform (DTWT), and together with anesthetic concentration value, a stepwise discriminant analysis (SDA) was performed to determine those features which could separate responders from nonresponders. It was determined that only three features were necessary for this recognition. These features were then used to train a four-layer artificial neural network (ANN) to separate the responders from nonresponders. The network was tested using a separate set of data, resulting in a 93% recognition rate in the anesthetic transition zone between responders and nonresponders, and 100% recognition rate outside this zone. The ane...Continue Reading

References

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Citations

Oct 3, 1999·Medical & Biological Engineering & Computing·X S Zhang, R J Roy
Apr 27, 2002·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Claude RobertAimé Limoge
Sep 21, 2000·Psychiatry and Clinical Neurosciences·H NinomiyaN Tashiro
Oct 5, 2006·Current Opinion in Anaesthesiology·I J Rampil
Feb 23, 2007·Biomedizinische Technik. Biomedical Engineering·Daniela LueckeGerhard Schneider
Mar 17, 2007·Journal of Medical Engineering & Technology·A KumarA Srivastava
Sep 22, 2006·Acta Anaesthesiologica Scandinavica·A KumarL N Yaddanapudi
Jan 27, 1999·IEEE Transactions on Bio-medical Engineering·J W HuangR J Roy
Apr 26, 2006·Best Practice & Research. Clinical Anaesthesiology·G Plourde

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