Closed-loop automatic external chest compression control system capable of adaptively adjusting external chest compression depth
A technology of self-adaptive adjustment and control system, applied in the direction of self-adaptive control, general control system, control/adjustment system, etc., can solve the problems of complicated operation, limited application promotion, etc., to reduce risks, improve the depth of compression, and achieve excellent chest The effect of pressing the pros and cons to weigh the performance
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Embodiment 1
[0053] A closed-loop automatic chest compression control system that can adaptively adjust the depth of chest compressions, see figure 1 , see description below:
[0054] The closed-loop automatic chest compression control system includes: a signal preprocessing module, an input saturation processing module, a fuzzy control module, an output saturation processing module, and a fuzzy PID automatic adjustment module.
[0055] The input saturation processing module is used to perform input saturation processing on the band-pass filtered signals PETCO2 and Kchest, and the processed signals reflect the blood perfusion degree and fracture risk of the current patient;
[0056] The fuzzy control module is used to calculate and obtain the compression depth adjustment increment based on the processed signal;
[0057] The output saturation processing module is used to optimize and output the compression depth adjustment increment;
[0058] The fuzzy PID automatic adjustment module is u...
Embodiment 2
[0064] The following combined with specific examples, Figure 1-Figure 9 , the scheme in embodiment 1 is further introduced, see the following description for details:
[0065] The closed-loop automatic chest compression control system provided by the embodiment of the present invention includes: a signal preprocessing module, an input saturation processing module, a fuzzy control module, an output saturation processing module, and a fuzzy PID automatic adjustment module. The five modules are respectively described below detailed introduction:
[0066] 1. Signal preprocessing module
[0067] First, use a moving average filter (MAF) to filter PETCO2 and Kchest signals to eliminate power interference;
[0068] Among them, the digital processing algorithm of the moving average filter can be expressed by the following mathematical formula:
[0069]
[0070] In formula (1), M is the filter order, y(n) is the filtered signal, and x(n-k) is the original signal before filtering....
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