The team developed algorithms to read and analyze an EEG pattern in real time and determine a target level of brain activity. Based on that target, an automated control device adjusts the flow of anesthesia to achieve the desired brain state.
Although anesthesiologists have had computer-assisted systems for years, no FDA-approved system exists that completely controls anesthesia administration based on continuous monitoring of a patient’s brain activity. Further development of the MGH and MIT system to control and maintain the full range of anesthesia states will introduce a powerful new tool to the field, according to the hospital’s news release.
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