Method and system for identifying heart-lung sound signals

Abstract

The invention relates to a method and a system for identifying heart-lung sound signals. The method includes the steps of acquiring heart / lung sounds initial detection signals, acquiring correspondingenvironment sound signals, and subjecting the heart / lung sounds initial detection signals to differential noise reduction processing, so as to prevent the influence of the peripheral environment on the cardio-pulmonary sound signals, prevent influence of signals irrelevant to the cardio-pulmonary sound signals on the identification precision, and effectively improve the collection and identification precision of the cardio-pulmonary sound signals. The heart sound simulation signals is processed through combination of EMD (Empirial Mode Decomposition) and a high-order shannon entropy algorithm, and a wavelet decomposition is used for processing the lung sound digital signals. Accurate recognition of the characteristics of the heart sound signals and the lung sound signals is achieved, andthe identification steps of the cardio-pulmonary sound signals are effectively simplified. The real-time performance is higher, and the cost is low.

Description

technical field [0001] The invention relates to a method and system for recognizing heart and lung sound signals. Background technique [0002] The stethoscope is an important auxiliary tool for doctors to monitor the physiological characteristics of human voice and diagnose physical conditions. The first stethoscope was a wooden hollow straight tube stethoscope invented by the French doctor Reynach in 1816. In clinical application, although the stethoscope has been continuously improved in the application process, the structure composed of the sound pickup part, the catheter and the listening piece is basically the same. Change. Therefore, it is difficult to use traditional stethoscopes to capture some small but very important physiological signals inside the human body, and real-time waveforms are not available. Physiological characteristics with low repeatability cannot be collected, stored and reproduced for subsequent analysis. [0003] In the 21st century, the first...

AI Technical Summary

Problems solved by technology

In 2014, THinkLabs Medical released The One digital stethoscope, which can display waveforms in real time and support recording and playback on mobile terminals, but the price is as high as $499, making it difficult to popularize in home applications

Some other companies, such as PULSONIC Sonoplus electronic stethoscope, Hewlett-Packard's Stethos electronic stethoscope, CADiscop stethoscope and Allen's electronic stethoscope, all have their own characteristics and functions, but they can only be used for signal collection, digitization and transmission. The supporting application software is not a smart device; it is also difficult to capture subtle but important heart and lung sound physiological signals, and there is no backtracking function to comprehensively analyze auscultation signals

Moreover, the heart and lung sound signals are complex and easily affected by the external environment, making it difficult to analyze quantitatively for a long time

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