Neurometric assessment of intraoperative anesthetic
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. 7 figs.
- Research Organization:
- Battelle Memorial Institute
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830
- Assignee:
- Battelle Memorial Inst., Richland, WA (United States)
- Patent Number(s):
- US 5,775,330/A/
- Application Number:
- PAN: 8-681,196
- OSTI ID:
- 672565
- Country of Publication:
- United States
- Language:
- English
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