A method and device for extracting respiration rate

Abstract

The invention discloses a breathing rate extraction method, comprising: obtaining an original electrocardiogram signal, and obtaining an electrocardiogram signal to be processed after the power frequency notch of the original electrocardiogram signal; performing Kalman on the electrocardiogram signal to be processed filtering, extracting the first respiration signal, and calculating the first respiration rate at the current moment according to the first respiration signal; performing wavelet transformation on the to-be-processed ECG signal to obtain a second respiration signal, and obtaining the second respiration signal according to the second The respiration signal is calculated to obtain the second respiration rate at the current moment; based on the Kalman residual generated in the Kalman filtering process, the first weight factor corresponding to the first respiration signal is calculated; based on the signal quality index, the The second respiration signal is analyzed to obtain the corresponding second weight factor; the respiration rate at the current moment is obtained through calculation. The invention also discloses a respiration rate extraction device, which can conveniently and effectively extract respiration signals, and obtain accurate and stable respiration rate through calculation.

Description

technical field [0001] The invention relates to the field of respiration detection, in particular to a method and device for extracting respiration rate. Background technique [0002] Respiration is an important physiological process of the human body, and the monitoring and detection of human respiration is also an important part of modern medical monitoring technology. Whether the disease of the patient's respiratory system itself or other important organs develops to a certain extent, the respiratory center will be affected. The failure of multiple organ systems often involves the failure of respiratory function, and the failure of respiratory function leads to the failure of other organ functions, which is a mutual cause and effect. [0003] The prior art mainly uses the following methods to detect respiratory motion: Impedance volume method: measure the change of chest impedance with a high-frequency constant current source to extract respiratory information; sensor me...

AI Technical Summary

Problems solved by technology

Although this algorithm has the advantages of being relatively intuitive and with a small amount of calculation, the respiratory waveform obtained in the actual process will be more or less affected by the electrocardiographic activity. When the baseline drifts in the waveform, the calculated baseline value cannot be updated quickly. , which will lead to waveform miss detection and lead to low respiration rate value, and the result will have a large deviation

Images