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TTI signal processing method based on pattern recognition

A signal processing and pattern recognition technology, which is applied in the field of electronic medicine, can solve the problems that do not include ventilation waveform recognition and processing, do not consider the time cost, and the difficulty of chest impedance signal monitoring, etc.

Inactive Publication Date: 2014-06-04
CHONGQING UNIV
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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.
A small number of studies either use the adaptive threshold method for compression waveform analysis, but do not include the identification and processing of ventilation waveforms; or use neural networks for pattern recognition of compression and ventilation waveforms, but only for experimental analysis, without considering the time cost
In addition, due to interference such as ventilation, high-frequency noise, baseline drift, and sensor connections, it is very difficult to monitor complex chest impedance signals

Method used

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  • TTI signal processing method based on pattern recognition
  • TTI signal processing method based on pattern recognition
  • TTI signal processing method based on pattern recognition

Examples

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Embodiment Construction

[0040] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0041] What was used in this example was a sub-database based on the electrical-induced cardiac arrest model in domestic pigs, involving 16 boars. The selected domestic pigs weighed 18 to 22 kg, and the experiment was carried out when all physiological parameters tended to be stable. The experiment continuously measures the TTI signal through the Windaq data acquisition system, and the sampling frequency is 300Hz. The data signals of 2 minutes before each CPR process were collected, so that each group of TTI signals included a 120s continuous signal waveform.

[0042]The continuous peak-trough waveform in the TTI signal is a chest compression. During each compression, the TTI signal amplitude varies as the difference between the peaks and troughs of the impedance waveform measured by the data acqui...

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Abstract

The invention discloses a TTI signal processing method based on pattern recognition. The method includes the steps that firstly, high-frequency noise in an acquired TTI signal is removed through the wavelet threshold de-noising method; secondly, baseline drift in the TTI signal is removed through the morphological filter method to obtain a smooth signal waveform; thirdly, waveform locating is carried out through the multi-resolution window search method; finally, pattern classification and recognition are carried out on the acquired signal through the linear recognition and analysis method to obtain a correct compression waveform and a correct ventilation waveform. The method has the significant advantages that the wavelet de-noising method, the morphological filter method and the multi-resolution window search method are organically combined, a large part of interference caused by distortion and noise can be effectively suppressed, the compression waveform and the ventilation waveform can be correctly recognized, the requirement for real-time processing can be met, and therefore various needed parameters of the TTI signal can be worked out and fed back to a CPR operator to instruct the CPR process.

Description

technical field [0001] The invention relates to the technical field of electronic medicine, in particular to a method for processing chest impedance signals based on pattern recognition. Background technique [0002] Chest compression (CC) is an important technique in cardiopulmonary resuscitation (CPR) to try to restore the body's spontaneous circulation, and its position in basic life support has received 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 more stan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/053
Inventor 李勇明陈勃翰王品吕洋谢文宾何璇
Owner CHONGQING UNIV
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