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An Intelligent Speech Recognition Wrist Sleep Apnea Monitoring System
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A sleep apnea and monitoring system technology, applied in the field of intelligent voice recognition wrist sleep apnea monitoring system, can solve the problem of users being unable to fall asleep naturally, and achieve the effects of reducing noise interference, avoiding trauma, and reducing difficulty
Active Publication Date: 2021-11-26
GUANGDONG DELONG INTELLIGENT TECH CO LTD
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[0002] Sleep apnea refers to a sleep disorder in which breathing stops during sleep, accompanied by sleep defects, fatigue, arrhythmia and other states. The main factor leading to sleep apnea is upper airway obstruction. The clinical manifestation is snoring, although snoring may not It indicates that the user has symptoms of sleep apnea. However, if the user snores during sleep, and has enough sleep time but is tired, there may be serious health problems. Therefore, it is necessary to monitor and manage the user's sleep apnea in order to detect abnormalities in time and processing to ensure the sleep health of the user. Since snoring is a clinical manifestation of sleep apnea, the recognition of snoring is the best way to reflect whether the user suffers from sleep apnea symptoms. The traditional method of recognizing snoring needs to connect a large number of physiological electrodes on the user , it often causes the user to be unable to fall asleep naturally due to discomfort, and noise interference needs to be reduced in the process of recognizing snoring, so that the sound collection device can accurately receive the user's voice audio, which reduces the difficulty and improves the efficiency of subsequent snoring analysis. Accuracy of Analysis Results
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Embodiment 1
[0040] Embodiment 1: Use the sleep environment simulation unit to establish a simulated sleep environment, locate the source of the user's snoring sound with coordinates of (x, y, z) = (1, 5, 2) through the sound source positioning unit, and locate through the user's wrist positioning unit The coordinates of the wrist position of the user when sleeping are (X, Y, Z) = (3, 2, 1), the positioning data is transmitted to the angle adjustment unit of the collection device, and the angle adjustment unit of the collection device adjusts the angle at which the snore collection device receives the sound : According to the formula Calculate the angle at which the capture device receives the sound , after determining the angle at which the acquisition device receives the sound, fix the range of receiving sound through the sound channel receiving adjustment unit: establish the sound channel along the direction of the 26-degree angle, and set the width of the sound channel to be along the...
Embodiment 2
[0041] Embodiment two: the snoring interception interruption unit transmits the historical normal audio data intercepted to the audio feature identification module, and the audio feature identification module identifies the snoring audio, and extracts two eigenvalues of all audio: the audio short-term energy set is W ={W 1 , W 2 , W 3 , W 4 , W 5}={3, 10, 5, 6, 2}, the unit is Eb, the audio zero-crossing rate set is Z={Z 1 ,Z 2 ,Z 3 ,Z 4 ,Z 5}={20, 10, 5, 12, 15}, the composition vector form is ={(W 1 ,Z 1 ), (W 2 ,Z 2 ), (W 3 ,Z 3 ), (W 4 ,Z 4 ), (W 5 ,Z 5 )}={(3, 20), (10, 10), (5, 5), (6, 12), (2, 15)}, the audio feature recognition module identifies and extracts the monitored current audio feature value: current Audio short-term energy w=6, current audio zero-crossing rate z=10, the form of the vector is = (6, 10), through the feature matching unit to analyze whether there is a matching historical normal audio in the current audio: according to the ...
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Abstract
The invention discloses an intelligent voice recognition wrist sleep apnea monitoring system, which includes: a normal snoring sound recording module, a snoring sound database, a snoring sound accurate collection module, a sleep breathing monitoring module, an audio feature recognition module and an apnea early warning module. The technology retrieves the user's normal snoring audio, identifies the snoring audio, and matches the currently monitored snoring audio with it. When it is found that the current audio does not have a matching historical normal audio, an early warning signal is sent through the apnea early warning module. The accurate snoring sound acquisition module adjusts the angle of receiving sound and fixes the range of receiving sound according to the position of sound source and wrist position, which reduces the noise interference of the surrounding environment, improves the accuracy of snoring sound analysis results, and helps to check whether the user has sleep breathing as soon as possible. Pause the symptoms and treat them as early as possible, while also allowing the user to wake up from sleep and avoid physical trauma.
Description
technical field [0001] The invention relates to the technical field of speech recognition, in particular to an intelligent speech recognition wrist sleep apnea monitoring system. Background technique [0002] Sleep apnea refers to a sleep disorder in which breathing stops during sleep, accompanied by sleep defects, fatigue, arrhythmia and other states. The main factor leading to sleep apnea is upper airway obstruction. The clinical manifestation is snoring, although snoring may not It indicates that the user has symptoms of sleep apnea. However, if the user snores during sleep, and has enough sleep time but is tired, there may be serious health problems. Therefore, it is necessary to monitor and manage the user's sleep apnea in order to detect abnormalities in time and processing to ensure the sleep health of the user. Since snoring is a clinical manifestation of sleep apnea, the recognition of snoring is the best way to reflect whether the user suffers from sleep apnea symp...
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