CSI index extraction method for anesthesia depth monitor

Abstract

The invention discloses a CSI index extraction method for an anesthesia depth monitor. An electroencephalogram collection circuit is provided with an input end and an output end; a weak electroencephalogram is converted into a size which can be collected by an AD chip and then transmitted to a microprocessor; the microprocessor obtains 4 major parameters (alpha)ratio, (beta)ratio, (beta)ratio-(alpha)ratio and BS% about CSI through the processes of filtering, fast discrete Fourier transform, frequency band energy calculation and the like; and based on the 4 major parameters, the anesthesia depth index CSI is finally obtained through an adaptive neuro-fuzzy inference system. In the invention, the CSI index is calculated by combining the fast discrete Fourier transform and the adaptive neuro-fuzzy inference system, and other nonlinear interference is avoided; and moreover, the obtained CSI index is displayed on a display screen to provide a reliable basis for timely and accurate anesthesia operation of a patient by medical personnel.

Description

technical field [0001] The invention relates to the field of anesthesia depth monitors, in particular to a CSI index extraction method for anesthesia depth monitors. Background technique [0002] EEG signal monitoring and analysis is mainly used in the research of brain function changes, sedation and analgesia, cognitive function changes, anesthesia depth monitoring and anesthesia recovery changes. It usually converts complex EEG signals into a single index, At present, the EEG monitoring systems commonly used in clinical practice include EEG bispectral index (BIS), auditory evoked potential index (AEI), entropy index and so on. The bispectral index (BIS) analysis method is a commonly used method for monitoring the degree of anesthesia and sedation by EEG. However, BIS has obvious limitations as an anesthesia depth monitoring technology, and many factors will affect BIS. For example, the EEG monitoring effect of BIS obviously depends on the use of anesthetics. Auditory Evo...

AI Technical Summary

Problems solved by technology

However, the monitoring of the auditory evoked potential index requires the patient to have normal hearing, so surgical patients with neurological deafness or conductive deafness cannot be monitored during the operation period. There are also children whose hearing is different from that of adults. Monitoring during the operation period The above patients still have certain limitations

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