Neurometric assessment of intraoperative anesthetic
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.
- Inventors:
-
- West Richland, WA
- Richland., WA
- Publication Date:
- Research Org.:
- Battelle Memorial Institute, Columbus, OH (United States)
- OSTI Identifier:
- 871677
- Patent Number(s):
- US 5775330
- Assignee:
- Battelle Memorial Institute (Richland, WA)
- DOE Contract Number:
- AC06-76RL01830
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- neurometric; assessment; intraoperative; anesthetic; method; apparatus; collecting; eeg; data; reducing; coefficients; correlating; depth; unconsciousness; obtains; bounded; derivative; indicate; trends; provides; developed; artificial; neural; network; based; capable; continuously; analyzing; discriminate; awake; anesthetized; individual; monitoring; real-time; enables; anesthesiologist; respond; immediately; changes; patient; surgery; administer; correct; amount; method capable; artificial neural; neural network; network based; continuously analyzing; continuously monitoring; eeg data; indicate trends; neural net; based method; continuously monitor; /600/128/
Citation Formats
Kangas, Lars J, and Keller, Paul E. Neurometric assessment of intraoperative anesthetic. United States: N. p., 1998.
Web.
Kangas, Lars J, & Keller, Paul E. Neurometric assessment of intraoperative anesthetic. United States.
Kangas, Lars J, and Keller, Paul E. Thu .
"Neurometric assessment of intraoperative anesthetic". United States. https://www.osti.gov/servlets/purl/871677.
@article{osti_871677,
title = {Neurometric assessment of intraoperative anesthetic},
author = {Kangas, Lars J and Keller, Paul E},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/871677},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}
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