CSI index extraction method for anesthesia depth monitor

A technology of anesthesia depth and extraction method, which is applied in the field of CSI index extraction of anesthesia depth monitor, can solve the problems of patient restriction and hearing difference, and achieve the effect of avoiding interference

Active Publication Date: 2016-07-20
合肥诺和电子科技有限公司
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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 mo...

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  • CSI index extraction method for anesthesia depth monitor
  • CSI index extraction method for anesthesia depth monitor
  • CSI index extraction method for anesthesia depth monitor

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Embodiment Construction

[0024] A method for extracting a CSI index for an anesthesia depth monitor, characterized in that it specifically includes the following steps:

[0025] (1) The original EEG signal is collected through the electrode attached to a specific position on the scalp, and then amplified, filtered and processed to obtain a signal that meets the detection requirements, and then a digital filter is used to eliminate 50Hz / 60Hz power frequency interference;

[0026] (2) The N data collected in 1S are x[0], x[1]...x[N-1]. Since it is difficult to find the transformation law of the EEG signal in the time domain, the collected data is quickly Discrete Fourier transform transforms to obtain frequency domain X[0], X[1]...X[N-1], in the frequency domain only signals in specific frequency bands (mainly alpha rhythm and beta rhythm) are needed, so the band A pass filter intercepts the frequency domain signals in the alpha rhythm and beta rhythm bands;

[0027] (3), calculate the frequency band e...

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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...

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Application Information

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IPC IPC(8): A61B5/0476A61B5/00G06F19/00G06N5/04
CPCA61B5/4821A61B5/72A61B5/7203A61B5/7225A61B5/7257A61B5/7264A61B5/369G06N5/048G16H50/20
Inventor 方建新
Owner 合肥诺和电子科技有限公司
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