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57 results about "Deglutition apnea" patented technology

Deglutition apnea is the stoppage of breathing during swallowing. This is a natural mechanism of the body to prevent food and fluids from finding its way into the airways and, thereafter, entering the lungs.

Sleep snoring sound classification detecting method and system based on depth learning

The invention discloses a sleep snoring sound classification detecting method based on depth learning. The method mainly comprises the steps of collecting sleep sound signals of a patient to be detected all night long through a sensor, detecting sonic sections in the sleep sound signals, and obtaining a sonic section map in the sleep sound signals; adopting depth learning for performing snoring sound and non-snoring sound classification on the sonic section map, and reserving a pure-snoring sound recognition result; then, adopting the depth learning for classifying four types of snore sounds for the pure-snoring sound recognition result, and completing automatic recognition and detection on snoring sounds of the patient suffering from obstructive sleep apnea-hypopnea syndrome (OSAHS); according to the snoring sound recognizing and detecting result, counting the number of snoring sounds of each type of the patient to be detected all night long, and obtaining an AHI index of the patientto be detected all night long. The invention further discloses a detecting system of the sleep snoring sound classification detecting method based on depth learning. The method and system can effectively and accurately evaluate whether or not a snoring object falls ill and evaluate the illness degree, and data references are provided for the patient suffering from the OSAHS.
Owner:SOUTH CHINA UNIV OF TECH

Method and system for classification and detection of sleep snoring

ActiveCN107358965AImplement automatic classificationAvoid affecting the recognition effectSpeech analysisSupport vector machineHypopnea
The invention discloses a method and system for classification and detection of sleep snoring. The method includes the steps of picking up the sleep snoring of a patient all night long, and extracting each snoring signal according to the sleep snoring signals of the patient all night long; calculating related features of fourth types of snoring including the snoring before and after a breathing disorder event, apnea snoring, hypopnea snoring and general snoring in the sleep snoring all night long; performing feature dimension reduction using principal component analysis (PCA), classifying the sleep snoring all night long respectively according to the snoring before and after the breathing disorder event, apnea snoring, hypopnea snoring and general snoring through a multi-class support vector machine (SVM), and realizing the recognition of the four types of snoring; and conducting statistics on the snoring signals all night long to obtain statistical results of the number of times of the four types of snoring, and predicting an AHI value according to the statistical results. According to the invention, the automatic classification of four types of snoring is realized accurately, the number of breathing disorder events all night long is determined by using the classification of snoring and the types of snoring before and after to predict the AHI value, and a data reference is provided for the patient with the OSAHS.
Owner:SOUTH CHINA UNIV OF TECH
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