Electronic stethoscope based on intelligent distinguishing 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 used for assisting diagnosis to intelligently recognize physiological parameters such as heart sounds and breath sounds, distinguish the types of heart sounds and breath sounds, and extract disease characteristics. Background technique [0002] Heart sounds and breath sounds are the physiological characteristics produced during human heart movement and human breathing movement. They contain physiological and pathological information of the heart and respiratory system. Compared with the blood gas and stool analysis, X-ray, B-ultrasonic diagnosis and other technologies, the pathological analysis of central sounds and breath sounds in medical clinics can more conveniently and quickly predict heart and respiratory diseases at an early stage. It has been 120 years to explore and study the technical theories of clinical diagnosis of heart sound...

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

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