Automatic friction sound interference elimination method for electronic stethoscopes

Abstract

The invention discloses an automatic friction sound interference elimination method for electronic stethoscopes, which relates to the technical field of stethoscope silencing. The method comprises: carrying out empirical mode decomposition for data XK in the Kth interference time interval in x, so that M<K> intrinsic mode function components shown in the drawing are obtained; after low-pass filtering is carried out for IMF<2> and IMF<3>, calculating related coefficients of IMF<2> and IMF<3> frame by frame, determining P data point ranges respectively recorded in the drawing, and setting all data outside the data point ranges as zeros; calculating the equation shown in the drawing, and sequentially assigning update values to the edge data segments of the P data point ranges by triple splineinterpolation. The method can rapidly and accurately detect and locate one or more friction sound interference regions which can appear in an auscultating signal; and while friction sound interference on single-channel auscultation data can be automatically eliminated, the friction sound of a plurality of friction sound interference regions in the same segment of data can be automatically eliminated.

Description

technical field [0001] The invention belongs to the technical field of stethoscope noise reduction processing, in particular to a method for automatically eliminating friction noise interference of an electronic stethoscope. Background technique [0002] Auscultation enables physicians to understand the patient's condition in a simple and easy way at the first time. Traditional auscultation technology is often restricted by factors such as the location of the doctor and the level of medical skills. With the vigorous development of the Internet of Things (IoT) technology, various types of electronic stethoscopes continue to appear, enabling real-time monitoring and automatic transcription of patients' heart and lung sound data. , cloud diagnosis and treatment and intelligent diagnosis become possible, and a series of problems presented in the research process of electronic stethoscope have also attracted much attention. The electronic stethoscope converts weak heart sounds, ...

AI Technical Summary

Problems solved by technology

The unsolved problems of this patent include: (1) when the microphone is not in contact with the human body, the received auscultation signal is relatively weak, which may affect the signal quality in some cases; (2) when the contact microphone in the auscultation head reaches a certain Contact with the human body is still possible under pressure, and friction noise interference may still occur at this time

[0008] 1. At present, there is no automatic identification and positioning method for the fricative noise interference area: in fact, even if there is only this link in the electronic stethoscope, it can be avoided by shielding the automatic identification and positioning of the fricative noise interference area in the subsequent intelligent analysis stage. analysis error

[0009] 2. At present, there is no signal processing method for automatically eliminating friction noise interference: on the one hand, the lack of automatic identification and positioning methods for friction noise interference areas makes this work impossible; on the other hand, the single-channel blind signal separation involved in this problem is A Difficult Point in Signal Processing Problems

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