Neurometric assessment of intraoperative anesthetic

Surgery – Truss – Pad

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128923, A61B 504

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active

057753300

ABSTRACT:
The present invention is a method and apparatus for collecting EEG data, reducing the EEG data into coefficients, and correlating those coefficients with a depth of unconsciousness or anesthetic depth, and which obtains a bounded first derivative of anesthetic depth to indicate trends. The present invention provides a developed artificial neural network based method capable of continuously analyzing EEG data to discriminate between awake and anesthetized states in an individual and continuously monitoring anesthetic depth trends in real-time. The present invention enables an anesthesiologist to respond immediately to changes in anesthetic depth of the patient during surgery and to administer the correct amount of anesthetic.

REFERENCES:
patent: 5601090 (1997-02-01), Musha
Edmonds, H., "Anesthetic adequacy, surface EMG and quantitated EEG," Acta Anaesthesiol Scand 1993:37(S100): 102-104, 1993.
Gurman, G., "Assessment of depth of general anesthesia," International Journal of Clinical Monitoring and Computing, Kluwer Academic Publishers, 11:185-189, 1994.
Muthuswamy, J., Roy, R., "Bispectrum analysis of EEG of a dog to determine the depth under halothane anesthesia," (IEEE), pp. 5-6, 1993.
Sharma, A., Roy, R., "Design of a recognition system to monitor the depth of anesthesia," Becton Dickinson and Company.
Yli-Hankala, A., Edmonds, H., Heine, M., Strickland, T., Tseuda, K., "Auditory steady state response, upper facial EMG, EEG and heart rate as predictors of movement after isoflurane-nitrous oxide anesthesia," in press, British Journal of Anesthesia.

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