Respiratory rate extraction method and device

Abstract

The invention discloses a respiratory rate extraction method and a respiratory rate extraction device. The method comprises the steps of receiving an original electrocardiosignal, and acquiring an electrocardiosignal to be extracted by performing power frequency trapping on the original electrocardiosignal; computing a wavelet entropy according to the electrocardiosignal and a pre-selected mother wavelet, acquiring an optimization parameter of the mother wavelet by using the computed wavelet entropy, thus acquiring the optimized mother wavelet; performing wavelet transform on the electrocardiosignal by using the optimized mother wavelet, and extracting a respiratory signal from the electrocardiosignal; and computing a current respiratory rate according to the respiratory signal. The invention also discloses a respiratory rate extraction device which can accurately extract the respiratory signal from the electrocardiosignal and thus compute the accurate respiratory rate.

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, which uses a high-frequency constant current source to measure changes in chest impedance to extract respiratory information; sen...

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