Chest Impedance Signal Processing Method in Cardiopulmonary Resuscitation

Abstract

The invention discloses a thoracic impedance signal processing method in cardio-pulmonary resuscitation. The thoracic impedance signal processing method comprises the following steps of: S1, pre-processing, and removing high-frequency noise and baseline drift; S2, marking waveforms based on a multi-resolution window search method, and extracting width features L(i), amplitude features H(i) and adjacent waveform feature differences Dif(i) of each waveform; S3, decomposing wavelets, and extracting wavelet features Dw(i) of each waveform; S4, constituting a four-dimensional feature vector by using the L(i), H(i), Dif(i) and Dw(i), and performing normalization processing; S5, classifying and identifying; S6, calculating quality evaluation indexes of cardio-pulmonary resuscitation. The thoracic impedance signal processing method in cardio-pulmonary resuscitation has the significant effects that: pressing and aerating waveforms can be accurately identified, pseudo pressing waveforms are effectively removed, the positive detection rate and sensitive of the algorithm to be very ideal, the requirement of processing in real time can be achieved, various output evaluation indexes can be fed back to cardio-pulmonary resuscitation operation staffs in real time, thus being convenient for operation staffs to adjust operation of cardio-pulmonary resuscitation and achieving the purpose of providing guidance to a CPR process.

Description

technical field [0001] The invention relates to the field of bioelectronic information technology, in particular to a chest impedance signal processing method in cardiopulmonary resuscitation. Background technique [0002] Chest compression (CC) is an important technique in cardiopulmonary resuscitation (CPR) trying to restore the body's spontaneous circulation, and its position in basic life support has been paid more and more attention. CPR core technologies such as chest compression frequency, compression-ventilation cycle, and compression-ventilation parameters are the key issues to ensure the quality of CPR. Through the detection and analysis of chest compressions, real-time feedback is given to rescuers to provide references for the cardiopulmonary resuscitation process, so as to avoid unnecessary interruptions of compressions, and to allow ECG detection during CPR without flaw intervals to correctly evaluate the rhythm of compressions, enabling rescue Operation is mo...

AI Technical Summary

Problems solved by technology

However, the study of multiple parameters reflecting the quality of cardiopulmonary resuscitation through real-time detection of chest impedance signals has not been reported.

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