Sleep monitoring obstructive locator based on snore analysis

A technology of sleep monitoring and locator, which is applied in the directions of diagnostic recording/measurement, medical science, sensors, etc., can solve the problem of multi-plane blocking and cannot be judged, and achieve the effect of simple operation
CN102138796AActive Publication Date: 2011-08-03THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT)
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT)
Publication Date
2011-08-03

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Abstract

The invention discloses a sleep monitoring obstructive locator based on snore analysis. The sleep monitoring obstructive locator based on the snore analysis comprises a recorder for recording sleep sound of a patient, and a processor for performing intelligent analysis according to the sleep sound; an audio signal output end of the recorder is connected with a voice interface of the processor; the processor comprises a sound acquisition module, a data storage module, a data reading module, a data analyzing module and a reporting module; the data analyzing module calculates and processes the sound data to obtain snore loudness, a snore frequency, a snore index, apnea time, hypopnea time and a sleep breathing disordered index; and the reporting module judges whether a numerical value is in accordance with a standard of a sleep apnea syndrome, determines an upper airway obstructive part according to the numerical value and outputs a determination result. The sleep monitoring obstructive locator can detect sleep breathing disordered degree and the upper airway obstructive part, has no limitation to the patient and is easy to operate.
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Description

technical field

[0001] The invention relates to the technical field of medical equipment, in particular to a sleep monitoring obstruction locator based on snoring sound analysis. Background technique

[0002] Snoring is a major clinical manifestation of Sleep Apnea Hypopnea Syndrome (SAHS). related to the occurrence.

[0003] Polysomnogram (PSG), also known as sleep EEG, is the gold standard for diagnosing sleep apnea hypopnea syndrome. It records sleep through EEG, eye movement and electromyography, and analyzes sleep , while monitoring the patient's respiration, limb movement and blood pressure. The advent of PSG has decisive significance for sleep research. Although the sleep breathing detection technology based on PSG can accurately detect the abnormal phenomenon of breathing, because this detection method requires the patient to wear a mask, chest belt and more electrodes, it has a greater physiological and psychological load on the patient, and is prone to The "fir...

Claims

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