Method and device for extracting respiratory signal

Abstract

The invention discloses a method and a device for extracting respiratory signals. The method comprises steps: acquiring an electrocardiosignal and performing preprocessing, extracting a parameter signal from the electrocardiosignal, the parameter signal including a parameter signal used for training and a parameter signal used for testing; reducing dimension of the parameter signal, to obtain a principal component electrocardiosignal, using the principal component electrocardiosignal corresponding to the parameter signal used for training as an input sample of a neural network, using a reference respiratory signal obtained by an impedance method as a training object of the neural network, establishing a neural network training model; inputting the principal component electrocardiosignal corresponding to the parameter signal used for testing to the neural network training model, to obtain a final respiratory signal. Through establishing the neural network training model, the respiratory signals are accurately and efficiently obtained from the electrocardiosignals. The method and the device are suitable to be used for monitoring respiratory state of a subject in real time every day.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a breathing signal extraction method and device. Background technique [0002] At present, the methods used to calculate the respiratory rate mainly include: impedance volume method, which uses a high-frequency constant current source to measure changes in chest impedance to extract respiratory information; sensor method, which uses temperature, pressure, humidity and airflow sensors as nostril sensors; capacitance method, when breathing The capacitance value will change accordingly; the breathing sound method, which recognizes breathing by picking up the breathing sound; the ultrasonic method, which uses ultrasonic waves to generate Doppler phenomenon, and detects the respiratory frequency. The use of these methods not only requires additional signal acquisition components, but also is affected by movement and the environment, so it is not suitable for daily monitoring...

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Problems solved by technology

[0005] In view of the above situation, it is necessary to provide a method and device for calculating the respiration rate based on the ECG signal in order to solve the problem of inaccurate and low efficiency in the extraction of the respiration rate signal in the prior art

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