Respiration rate extraction method and apparatus

Abstract

The invention discloses a respiration rate extraction method. The method includes the following steps of acquiring an original ECG signal and obtaining an ECG signal to be processed based on the original ECG signal; filtering the ECG signal to be processed to obtain a first respiration signal and calculating a first respiration rate at the current time based on the first respiration signal; performing wavelet transformation on the ECG signal to be processed to obtain a second respiration signal and obtaining a second respiratory rate at the current time based on the second respiration signal through calculation; and analyzing the first respiration signal and the second respiration signal based on a signal quality index to obtain a first weighting factor corresponding to the first respiration rate and a second weighting factor corresponding to the second respiration rate through calculation, and obtaining the respiration rate at the current time through calculation. The invention further discloses a respiration rate extraction apparatus. According to the invention, the respiration signals can be easily and efficiently extracted, and the accurate and stable respiration rate can be obtained 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 monitoring and testing of human respiration is also an important part of modern medical monitoring technology. Whether it is the disease of the respiratory system itself or other important organs, the development to a certain extent will affect the respiratory center. Multi-organ system failure often involves the failure of respiratory function, and failure of respiratory function leads to failure of other organ functions, which are mutually cause and effect. [0003] The prior art mainly uses the following methods to detect respiratory movement: 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 temperat...

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

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