Electronic stethoscope based on intelligent recognition function

Abstract

The invention belongs to the technical field of medical machinery, and relates to an electronic stethoscope which is used for auxiliary diagnosis and is capable of intelligently distinguishing physiological parameters, such as heart sounds and breath sounds, judging the types of the heart sounds and the breath sounds, and extracting the disease characteristics. The electronic stethoscope comprises a processor unit, and a signal collection unit, an external drive unit, a storage unit and a data bus interface unit which are connected with the processor unit, wherein the signal collection unit is used for collecting the signals of the heart sounds and the breath sounds and implementing the pre-processing on the signals; the processor unit is used for implementing the pattern recognition algorithms on the heart sounds and the breath sounds, separating the two sounds from each other, intelligently distinguishing and classifying the signals of the heart sounds and the breath sounds, and managing the other hardware units; the storage unit is used for storing the programs and the extension programs thereof, storing the data of the heart sounds and the breath sounds, the standard heart sounds and the breath sounds, and the audition model of each typical case of the disease, and outputting and playing; and the external drive unit and the data bus interface unit are used for implementing external operation function drive and data communication.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to an electronic stethoscope for assisting diagnosis by intelligently identifying physiological parameters such as heart sounds and breath sounds, distinguishing types of heart sounds and breath sounds, and extracting disease characteristics. Background technique [0002] Heart sounds and breath sounds are the physiological characteristics produced during the movement of the human heart and breathing, which contain the physiological and pathological information of the heart and respiratory system. Compared with blood gas and stool analysis, X-ray, B-ultrasound diagnosis and other techniques, the pathological analysis of central sound and breath sound in medical clinic is more convenient and quick for early prediction of heart and respiratory diseases. It has been a long time of 120 years to explore and study the technical theory of clinical diagnosis of heart sou...

AI Technical Summary

Problems solved by technology

These purposes are to make the heard heart sound and breath sound signal more clear and accurate. However, due to the overlapping of the interference noise of the heart sound and breath sound and the signal on the frequency spectrum, simply using general hardware functions cannot effectively eliminate the interference noise. Use more effective signal processing technology to eliminate these interference noises, so the current electronic stethoscope cannot really assist doctors in clinical diagnosis

Images