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Method for detecting respiratory cycles in a stethoscope signal

A breathing cycle, stethoscope technology, applied in the direction of stethoscope, diagnostic recording/measurement, instrument, etc., can solve the problem of not so reliable

Inactive Publication Date: 2010-11-24
ALCATEL LUCENT SAS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it has been found that this first step of detecting breathing phases is less reliable in achieving a reliable distinction between inhalation and exhalation

Method used

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  • Method for detecting respiratory cycles in a stethoscope signal
  • Method for detecting respiratory cycles in a stethoscope signal
  • Method for detecting respiratory cycles in a stethoscope signal

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Experimental program
Comparison scheme
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Embodiment Construction

[0070] For each sound sample, the phase of the breathing cycle is detected in two consecutive steps:

[0071] 1) Distinguish between breathing phases (either inhalation or exhalation) and non-breathing phases (noise only).

[0072] 2) Distinguish between inhalation and exhalation for each respiratory phase determined in the first differentiation step.

[0073] figure 1 The flow chart of the figure describes the steps of an exemplary embodiment of the method of the present invention.

[0074] - Step 70: Capturing breath sounds in the lungs and then digitizing the breath sounds at a frequency of 8KHz. In one embodiment, breath sounds may be captured at the trachea.

[0075] - Step 71 : Digitally filter the signal with a high-pass filter with a cut-off frequency between 400 Hz and 500 Hz, preferably at 500 Hz, in order to mitigate noise that interferes with the detection of the respiratory cycle, in particular noise produced by the doctor's voice .

[0076] - Step 72: Calcul...

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Abstract

In order to distinguish between a breathing phase and a non-breathing phase, it comprises steps consisting, for each stethoscope signal sample, of: filtering (71) the stethoscope signal in order to eliminate the stethoscope signal's low frequencies, with the cutoff frequency preferentially being 500 Hz; calculating (72) an energy value Eh for each sample of the filtered signal; calculating (73) the mean energy Eh_moy of the filtered signal; then making a decision (74), Breathing or Non-Breathing, based on the value of the difference Eh - Eh_moy for that sample.

Description

technical field [0001] The invention relates to a method for detecting breathing cycles in a stethoscope signal. Background technique [0002] In the medical field, auscultation of the lungs is commonly performed using a stethoscope in order to obtain information on the physiology and pathology of the patient's lungs and airways. Physicians look for specific sounds (called markers), especially sounds known as arrows, crepitus, etc., in order to diagnose pathologies such as asthma or chronic obstructive pulmonary disease. Although routine auscultation with a stethoscope is subjective and difficult to share, the electronic breath sound capture and analysis system should make it possible to assist physicians in subjective and timely diagnosis, thanks to the system's higher sensitivity and excellent reproducibility of results . [0003] Creating such a system poses a problem for detecting the breathing cycle; more precisely, it is necessary to detect a time interval correspond...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B7/04G06F17/00
CPCA61B5/4818A61B7/04
Inventor R·加斯S·雷谢尔
Owner ALCATEL LUCENT SAS