Blood parameter and electrophysiological parameter detection method based on photoelectric fusion

Abstract

The invention discloses a blood parameter and electrophysiological parameter detection method based on photoelectric fusion. The method is oriented to electroencephalogram and electroencephalogram oxygen data acquisition, electroencephalogram and electroencephalogram oxygen data of a brain area of a patient are acquired through a flexible patch sensor, and acquired signals are transmitted to an upper computer through a wireless transmission module for signal processing; artifact information in the signals can be removed by preprocessing the signals through the upper computer, and the signal-to-noise ratio of the signals is increased; features in the electroencephalogram and electroencephalogram oxygen signals are extracted through a moving window, and anesthesia depth related indexes are calculated and predicted; and the data is transmitted through the wireless transmission module, so that the problem that a data transmission line is easy to damage is solved. The electroencephalogram signals are applied to the anesthesia depth monitoring method, and the problem that the electroencephalogram signals are interfered and cannot be used is solved.

Description

technical field [0001] The invention relates to an optimized anesthesia depth monitoring technology, in particular to a detection method of blood parameters and electrophysiological parameters based on photoelectric fusion. Background technique [0002] Different from invasive detection methods, non-invasive brain function detection technology will not cause trauma to the human brain, and has always been the focus of people's research and development. Non-invasive brain function testing techniques mainly include fMRI, PET, EEG, and NIRS. Among them, fMRI and PET have the characteristics of high spatial resolution and low temporal resolution, and the specific location of the brain or lesion can be quickly found through brain functional imaging, but the cost of clinical application is high, so this type of technology is applied in the basic research of brain function more extensive. The EEG and NIRS detection technologies have better time resolution, can quickly respond to b...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a wireless anesthesia depth detection method based on dual modes in view of the deficiencies of the prior art; the data is transmitted wirelessly, which solves the problem that the traditional data transmission line is easily damaged, and the dual mode based on EEG and brain oxygen signals The modal method makes the depth of anesthesia detection more accurate when the signal interference is large;

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