A method for automatically eliminating friction noise interference of electronic stethoscope

Abstract

The invention discloses a method for automatically eliminating friction noise interference of an electronic stethoscope, and relates to the technical field of stethoscope noise reduction processing. The present invention includes data x on the Kth interference time interval in x K Carry out empirical mode decomposition to get M K Intrinsic modulus function components: for IMF 2 with the IMF 3 Calculate IMF by frame after low-pass filtering 2 with the IMF 3 Correlation coefficient, determine the intervals of P data points and record as: set all the data outside the interval of data points to zero; calculate and sequentially assign update values ​​to the edge data segments of the intervals of P data points through cubic spline interpolation. The invention quickly and accurately detects and locates one or more fricative noise interference areas that may appear in the auscultation signal; realizes automatic elimination of fricative noise interference in single-channel auscultation data and simultaneously realizes automatic elimination of friction sound interference areas in the same segment of data.

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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