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Self-adaptive snoring sound signal detection method

A signal detection and self-adaptive technology, applied in applications, diagnostic recording/measurement, medical science, etc., can solve problems such as insufficient detection performance

Active Publication Date: 2016-09-28
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
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Problems solved by technology

In comparison, although the current unsupervised method does not require training data, its detection performance is not superior enough.

Method used

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  • Self-adaptive snoring sound signal detection method
  • Self-adaptive snoring sound signal detection method
  • Self-adaptive snoring sound signal detection method

Examples

Experimental program
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Embodiment 1

[0084] The specific method of the endpoint detection of the sound event in step 1 is:

[0085] Step 1.1, preprocessing the sleep audio signal, including filtering (50-4000Hz bandpass) and normalization, to obtain signal Y;

[0086] Step 1.2, initialize the sound event detection time point, n=L+1. Define the time preset value г;

[0087] Step 1.3, at the current time point n, define a rectangular box of the following form,

[0088] B(L,H,n,Y n )=[n-L,n]×[Y n -H,Y n +H]

[0089] Among them, Y n is the sampling value of signal Y at time point n; L>1, represents the width of the rectangular box; 2H>0, represents the height of the rectangular box.

[0090] Step 1.4, at the current time point n, the pair falls into the rectangular box B(L,H,n,Y n ) to count the sampling points,

[0091] b L H ( n ) = Σ j ...

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Abstract

The invention provides a self-adaptive snoring sound signal detection method, which comprises the following steps: 1, conducting endpoint detection on an acquired sleep audio signal so as to obtain a sound event; 2, extracting characteristics of the sound event obtained in the step 1, so that an Mel frequency cepstrum coefficient; and 3, clustering the characteristics extracted in the step 2, and determining snoring sound and non-snoring-sound signals. With the application of the detection method disclosed by the invention, the snoring sound signal in the sleep audio signal can be effectively detected out; and the detection method is accurate in detection result and excellent in performance.

Description

technical field [0001] The invention belongs to the field of audio signal processing and particularly designs an adaptive snoring signal detection algorithm. Background technique [0002] Snoring is the heavy nasal breathing sound after falling asleep. Snoring is a very common phenomenon, and about 20% to 40% of the population suffers from snoring symptoms. During sleep, the muscle tone of the upper airway and pharyngeal cavity is relatively reduced, and the upper airway collapses. Snoring occurs when the airflow passes through the narrowed part of the upper airway, the airflow becomes turbulent and causes tissue to vibrate. More specifically, snoring can be characterized by vibrations of the soft palate, pharyngeal wall, epiglottis, and tongue. Snoring not only troubles patients and affects companions, but also poses a threat to the health of patients. Loud snoring may make others unable to sleep peacefully throughout the night, greatly reducing the quality of sleep of ...

Claims

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/4803
Inventor 洪弘顾李萍马干军杨宇鑫顾陈李彧晟朱晓华
Owner NANJING UNIV OF SCI & TECH
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