Respiration rate calculation method and device

Abstract

The invention provides a respiration rate calculation method and device. The method includes the steps that electrocardiograph signals are obtained and preprocessed, and parameter signals are extracted from the electrocardiograph signals, wherein the parameter signals comprise the training parameter signals and the testing parameter signals; an adaptive filter is adjusted through the training parameter signals, the adjusted adaptive filter is used for processing the testing parameter signals to obtain first respiration signals, and the first respiration rate is calculated according to the first respiration signals; a neural network training model is established through the training parameter signals and used for obtaining second respiration signals from the testing parameter signals, and the second respiration rate is calculated according to the second respiration signals; and through weighing calculation of the first respiration rate and the second respiration rate, the final respiration rate is obtained. The respiration signals are extracted from the electrocardiograph signals through the adaptive filter and a neural network, the accurate respiration rate is obtained, and the method and device are suitable for daily nursing.

Description

technical field [0001] The invention relates to the field of electrocardiographic signal processing, in particular to a method and device for calculating respiration rate. 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 ...

AI Technical Summary

Problems solved by technology

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

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