Sleep snore monitoring method and system based on bass ratio
A technology of bass ratio and snoring sound, which is applied in the fields of medical diagnosis, signal processing and acoustics, can solve the problems of high detection cost, complicated operation and high detection environment requirements, and achieves the effect of low test environment requirements, low cost and convenient detection.
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Embodiment 1
[0046] The principle of this embodiment is: as we all know, the sound is caused by the vibration of the object, and the generation of voice is the eddy current produced by the vibration of the vocal cords or the narrow part of the vocal tract. After the sound passes through the resonance system formed by the airflow channel or passes through the filter, the frequency spectrum changes. The frequency spectrum changes again when it passes through the lips and nasal cavity. The difference between different phonemes can be caused by the source of the sound, or it can be caused by the shape of the vocal tract and the length of the air column. Similar to speech, snoring is a sound made by the collapse or obstruction of a certain part (organ) of the airway, resulting in unobstructed respiratory airflow and causing resonance. In other words, snoring is closely related to the location of the blockage. The severity of OSAHS is different, and the spectrum of each octave band correspondin...
Embodiment 2
[0067] The sleep snoring monitoring method based on the bass ratio of the present embodiment adopts off-line analysis, which specifically includes the following steps:
[0068] 1) The recording plan is set to use a non-contact microphone for the patient, connect the microphone, computer, and USB external sound card, and hang the microphone at a distance of about 30 cm above the mouth and nose of the patient when lying down. The recording file format is set to WAV. The rate is 11KHz, 16bit quantization, and the recorded sleep snoring signal is saved in the computer;
[0069] 2) When the recording environment is not good, such as the environmental noise is too large, it is necessary to use signal processing methods to preprocess the sleep snoring signal, such as using spectral subtraction to reduce noise, so that the signal-to-noise ratio is greater than 10dB;
[0070] 3) Manually extract each sleep snoring signal and name and save it according to certain rules;
[0071] 4) Rea...
Embodiment 3
[0074] The sleep snoring monitoring method based on bass ratio of the present embodiment adopts on-line analysis, and its specific steps are similar to the off-line analysis of embodiment 2, the difference is: adopt real-time on-line processing mode, step 3) adopt signal processing method to utilize written program Automatically extract sleep snoring, then calculate the bass ratio of each sleep snoring, count the bass ratio of sleep snoring throughout the night, calculate its mean, standard deviation, and calculate the number of normal snoring, the number of abnormal snoring and the ratio between them, display Analyze the results.
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