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Sleep stage recognition method based on audio processing

A technology of audio processing and identification methods, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as being unsuitable for daily monitoring and affecting the sleep of the test subject.

Active Publication Date: 2016-11-23
NANJING UNIV
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Problems solved by technology

Therefore, this method has the characteristics of affecting the sleep of the test subject; and due to the professionalism of its equipment, it is not suitable for daily monitoring

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  • Sleep stage recognition method based on audio processing

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Embodiment Construction

[0023] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0024] 1. Hardware environment

[0025] Smart devices with audio collection and processing functions, capable of sampling audio at a frequency not lower than 600Hz; with a memory of not lower than 1MB; with a CPU with a main frequency of 500MHz or more;

[0026] 2. Application scenarios

[0027] The sleep period recognition method based on audio processing disclosed in the present invention can be applied in the form of system background service or application embedded module. According to the t...

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Abstract

The invention discloses a sleep stage recognition method based on audio processing. According to the method, intelligent equipment with functions of audio acquisition and processing is used and comprises a smartphone and a smartwatch, wherein an audio module is used as an audio acquisition device; numerical characteristics of acquired audio frequency are extracted, sleep related events (including snoring, trunk movement, coughing and odontoprisis) occurring during sleeping are recognized with a mode recognition method, external expression differences of people in the REM (rapid eyes movement) sleep stage and the N-REM (non-rapid-eyes movement) sleep stage are taken as entry points, and the sleep stage is recognized for sleep of people in combination with the external expression differences of people in the medical REM sleep stage and the medical N-REM sleep stage. The method has the advantages that the equipment is simple and easy to obtain, an equipment room and a server room for communication are not required, the method is non-invasive and the like, and the method can be widely applied to multiple application fields of daily sleeping monitoring, sleeping quality evaluation, living habit evaluation and the like.

Description

technical field [0001] The invention relates to a sleep stage recognition method for audio processing, which belongs to the field of computer applications, aiming at the recognition of REM and N-REM sleep stages in human sleep, taking the difference in the external performance of REM and N-REM stages when people are sleeping as an entry point , with fast Fourier transform and machine learning as the main technical means, a non-invasive sleep REM and N-REM cycle recognition method based on smart devices that can collect audio, without peripheral support, is realized. Background technique [0002] The sleep phase identification method has a wide range of application scenarios, such as health assessment, situational intelligence, smart home, etc. Specifically, the sleep stage recognition method requires real-time and accurate sleep stage recognition, for example, the user is in the REM sleep stage or the N-REM sleep stage. Considering that in real life, the REM and N-REM stage...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
CPCA61B5/4812
Inventor 姚恒志汪亮陶先平吕建
Owner NANJING UNIV
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