Simulation synthesis method and device for photoelectric volume wave signals

Abstract

In a signal simulation synthesis method, three Gaussian signals are mutually superposed to fit an actual single-cardiac-cycle photoelectric volume wave waveform, and then the simulated single-cardiac-cycle photoelectric volume wave is extended to multiple cardiac cycles; two semi-sinusoidal signals are superposed to fit an actual single-respiratory-cycle respiratory wave, and obtained two semi-sinusoidal signals are used for simulating a single-respiratory-cycle respiratory wave; a mathematical model of amplitude, frequency and intensity change of respiration-induced photoelectric volume wavesis established, the proportion coefficient and phase difference of amplitude, frequency and intensity change of the respiration-induced photoelectric volume wave are solved by fitting the actual photoelectric volume wave waveform, and blood oxygen saturation and pulse rate variation signal are organically synthesized into a simulated photoelectric volume wave signal in a mode close to physiology,so that photoelectric volume wave simulated signals containing standard pulse rate, respiration, blood oxygen saturation and pulse rate variability is synthesized, and a simulation synthesis method and device for photoelectric volume wave signals are achieved.

Description

technical field [0001] The invention belongs to the field of biomedical engineering, and relates to a method and device for simulating and synthesizing photoplethysmographic signals. Background technique [0002] Photoplethysmography contains rich physiological signals including pulse rate, respiration, blood oxygen saturation and pulse rate variability, etc. It is an important detection object for routine medical monitoring, and the accuracy of relevant physiological information detection results is directly related to Clinical diagnosis and therapeutic effect. However, the existing photoplethysmogram signal generators for providing analog photoplethysmograms can only generate signals with fixed pulse rate or blood oxygen saturation, and cannot simultaneously generate signals with dynamically adjustable parameters including pulse rate, respiration, and blood pressure. The simulated photoplethysm of physiological information such as oxygen saturation and pulse rate variabil...

AI Technical Summary

Problems solved by technology

However, the existing photoplethysmogram signal generators for providing analog photoplethysmograms can only generate signals with fixed pulse rate or blood oxygen saturation, and cannot simultaneously generate signals with dynamically adjustable parameters including pulse rate, respiration, and blood pressure. The simulated photoplethysm of physiological information such as oxygen saturation and pulse rate variability cannot simulate and simulate the actual collected photoplethysm, which brings a lot of inconvenience to the relevant clinical calibration and engineering detection research of photoplethysmography

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