Digital stethoscope and method for filtering heart sounds and extracting lung sounds

Abstract

The invention provides a digital stethoscope and a method for filtering heart sounds and extracting lung sounds. The method for filtering the heart sounds and extracting the lung sounds comprises the steps of: acquiring heart and lung sound signals in scheduled time; processing the obtained signals and obtaining heart and lung sounds-included valid frames according to a discrete entropy value; calculating an average amplitude value of the valid frames, and removing noise frames by using a threshold value to obtain heart sound-included lung sound frames; carrying out wavelet transform on the obtained lung sound frames, filtering a wavelet coefficient by using the threshold value, and filtering the heart sounds to obtain pure lung sound frames; carrying out MFCC (Mel Frequency Cepstrum Coefficient) characteristic parameter extraction on the lung sound frames; and judging the lung sound frames according to an obtained MFCC characteristic parameter matrix, judging whether the lung sound signals are normal or judging that the lungs are most likely to suffer from a certain or multiple respiratory diseases. Through the abovementioned method for filtering the heart sounds and extracting the lung sounds, the lung sound signals can be rapidly extracted from the acquired heart and lung sound signals and are then judged so as to pre-diagnose the respiratory diseases.

Description

technical field [0001] The invention relates to the field of medical stethoscopes, in particular to a digital stethoscope and a method for filtering out heart sounds and extracting lung sounds. Background technique [0002] Respiratory diseases are one of the common diseases in modern society. Most of the diagnostic methods at this stage are that patients come to the hospital, and doctors use stethoscopes to conduct on-site auscultation, and remote pre-diagnosis cannot be performed; and patients come to the hospital for diagnosis. It will cost A lot of energy and financial resources, especially for patients in remote areas where medical resources are scarce, it is even more difficult to enter the hospital for doctors to conduct on-site auscultation. A stethoscope that can make a preliminary diagnosis in advance is needed; stethoscopes have been used in clinics since 200 years ago , the structural changes are basically small. At this stage, air conduction stethoscopes are wid...

AI Technical Summary

Problems solved by technology

[0002] Respiratory diseases are one of the common diseases in modern society. Most of the diagnostic methods at this stage are that patients come to the hospital, and doctors use stethoscopes to conduct on-site auscultation, and remote pre-diagnosis cannot be performed; and patients come to the hospital for diagnosis. It will cost A lot of energy and financial resources, especially for patients in remote areas where medical resources are scarce, it is even more difficult to enter the hospital for doctors to conduct on-site auscultation. A stethoscope that can make a preliminary diagnosis in advance is needed; stethoscopes have been used in clinics since 200 years ago , the structural changes are basically small. At this stage, air conduction stethoscopes are widely used. Since no circuit is used, all signals are physical signals, which cannot be used for computer processing and remote transmission, so the collected data cannot be analyzed. In addition, since the digital stethoscopes currently on the market do not have the separation function of filtering out heart sounds and extracting lung sounds, they cannot perform feature extraction and judgment on lung sounds, and thus cannot perform prediagnosis

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