Method and device for automatically identifying cough

Abstract

The invention provides a method for automatically identifying cough. The method comprises the following steps of: (1) inputting voice signals in a PCM format; (2) performing endpoint detection on the voice signals in the PCM format, eliminating non-cough signals and taking the rest signals as candidate cough signals; (3) extracting characteristics of the candidate cough signals according to frames, and converting the characteristics into a 39-dimensional characteristic vector sequence; (4) training a hidden Markov model according to the extracted characteristic vector sequence, identifying the candidate cough signals and judging whether the candidate cough signals are cough signals; (5) counting the cough signals in a certain time period. The invention further provides a device for implementing the method, which comprises a voice input device, an identifier, an SD card, a display device and a group of buttons, wherein the voice input device, the SD card, the display device and the buttons are connected with the identifier respectively. The method and the device can realize real-time recording and automatic identification of the cough and analyze dynamic change characteristic of cough frequency and intensity.

Description

technical field [0001] The invention belongs to the technical field of sound processing, and in particular relates to an automatic cough recognition method and device. Background technique [0002] Chronic cough refers to patients with unknown cause, cough as the only symptom or main symptom, lasting more than 8 weeks, and chest X-ray examination showing no obvious abnormalities. Eosinophilic bronchitis is the number one cause of chronic cough (22%), other common causes include: postnasal drip syndrome (17%), cough variant asthma (14%), gastroesophageal reflux cough (12%) )Wait). To confirm the diagnosis of chronic cough, technologies such as pulmonary function test, induced sputum cell classification test and esophageal pH value monitoring are needed. At present, most hospitals do not have these conditions, and patients with chronic cough cannot receive timely diagnosis and treatment; at the same time, cough attacks Characteristics (including dynamic changes in frequency ...

AI Technical Summary

Problems solved by technology

To confirm the diagnosis of chronic cough, technologies such as pulmonary function test, induced sputum cell classification test and esophageal pH value monitoring are needed. At present, most hospitals do not have these conditions, and patients with chronic cough cannot receive timely diagnosis and treatment; at the same time, cough attacks Characteristics (including dynamic changes in frequency and intensity) and causes have a great relationship with weather, environment, diet and sleep status, etc. If the relationship between coughing and weather, environment, diet and sleep status can be found out, it can help Understand the etiology of chronic cough; however, most patients cannot accurately and objectively describe the characteristics of cough attacks, and in the existing technology, there is no relevant technology or equipment that can accurately and objectively describe the characteristics of cough attacks, so often As a result, the timely diagnosis and treatment of the patient is affected because the doctor who visits the doctor cannot get effective information about the cause of the cough attack

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