Method for diagnosing obstructive sleep apnea hypopnea syndrome according to snore
A technology for sleep apnea and hypopnea, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of complicated use, long diagnosis time, long diagnosis time, etc., and achieves low cost, simple operation and fast diagnosis speed. Effect
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Embodiment 1
[0018] Embodiment one: see figure 1 According to the sound of snoring, the specific operation steps of the method for determining obstructive sleep apnea hypopnea syndrome are:
[0019] (1) Set up a suitable recording environment to record the patient's snoring signal throughout the night;
[0020] (2) Preprocess the patient's snoring signal, reduce noise and manually delete the recording when the patient is not asleep;
[0021] (3) Perform dynamic threshold endpoint detection on the processed snoring signal, capture each snoring event, and then add some judgment conditions to indirectly calculate the AHI value;
[0022] (4) Display the diagnosis result of OSAHS based on snoring rhythm.
Embodiment 2
[0023] Embodiment 2: This embodiment introduces the specific process of Embodiment 1 in more detail:
[0024] (1) The recording plan is set to use a non-contact microphone for the patient. The microphone is suspended at a distance of about 15cm from the patient. The recording format is set to WAV, with 8KHz sampling and 16bit quantization. The recorded snoring signal is saved in the computer;
[0025] (2) When the recording environment is not good, such as too much environmental noise, it is necessary to preprocess the snoring signal, so as to ensure higher accuracy of endpoint detection. The method of noise reduction adopts spectral subtraction, and the effect after noise reduction is shown in Figure 7. The amplitude of the silent segment must be below 0.02, and the amplitude of the snoring segment must be above 0.1.
[0026] (3) Perform dynamic threshold endpoint detection on the snoring signal. Considering the actual situation, it is necessary to identify each monitored sno...
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