Measurement method for detecting sleep apnoea with ECG signal

A sleep apnea and signal technology, applied in diagnostic recording/measurement, application, medical science, etc., can solve the problems of failure, high price, complicated operation, etc., and achieve the effect of simple design

Inactive Publication Date: 2009-08-05
广州医学院
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of high price and complicated operation in the existing multi-channel physiological recorder, solve the problem that traditional analysis techniques such as Fourier analysis and autoregressive analysis methods are completely invalid, and provide a method for detecting sleep apnea using ECG signals. suspended measurement method

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  • Measurement method for detecting sleep apnoea with ECG signal
  • Measurement method for detecting sleep apnoea with ECG signal
  • Measurement method for detecting sleep apnoea with ECG signal

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Embodiment Construction

[0033] In this embodiment, a portable sleep apnea detection record analyzer is used to monitor the patient overnight, record ECG, mouth and nose airflow, and blood oxygen saturation signals, and then use a section of ECG signals containing sleep apnea to perform the above steps , figure 1 is the R-R interval time series obtained by QRS wave recognition, figure 2 It is the HRV data obtained by selecting the window width to be 80.

[0034] image 3 and Figure 4 It is the HRV signal of the same individual with 600 data points at different time periods, and the sixth-order IMF is obtained by decomposing the empirical model. The residual after subtracting the IMF of each order from the original signal. From image 3 , 4 It can be seen that the first-order IMF contains local high-frequency components of the signal, and as the IMF order increases, the IMF frequency components gradually decrease. Compared with the global frequency component decomposition of the Fourier method...

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Abstract

The invention relates to a method for detecting sleep apnea by using electrocardiosignals, which is characterized by comprising the following steps of: 1) detecting QRS by using a slope threshold method, calculating a time sequence during a R-R period, and carrying out partial detection of the time sequence during a R-R period by using least square straight-line to obtain a heart rate variability signal HRV; 2) using the change of the HRV with the heart rate as a random signal and selecting continuous 500 to 800 data points as a sliding window to decompose the HRV signal into intrinsic mode functions IMF; 3) transforming all intrinsic mode functions IMF to obtain an HH spectrum; 4) calculating the average value of the instantaneous frequency of the IMF components and the standard deviation of the instantaneous amplitude of the IMF components according to the HH spectrum; and detecting the time and times of sleep apnea according to the change of a characteristic value. The method is reliable in result and good in real-time and provides a now analytical tool for early diagnosis and ward and prognosis evaluation of sleep apnea syndrome.

Description

Technical field: [0001] The invention relates to a measurement method for diagnosis purposes, in particular to a measurement method for detecting sleep apnea by using ECG signals, and belongs to the technical field of Hilbert-Huang Transform. Background technique: [0002] Sleep apnea syndrome (sleep apnea syndrome, SAS) is a dangerous common disease. In recent years, with the improvement of living standards, the incidence of SAS is on the rise. Because the disease all occurs during sleep, it is often ignored by patients and cannot be discovered in time. At present, the diagnosis of SAS requires the patient to go to the hospital to monitor the patient's sleep overnight with a multi-channel physiological recorder. Clinical promotion and use. [0003] Heart Rate Variability (HRV) refers to the variation of the R-R interval of continuous heartbeats. Clinical studies have proved that when healthy people breathe normally, although there are small fluctuations in the interval ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0452
Inventor 周洪建蔡桂艳梅松青方玉怡曾莉周风华卢肖霞吴小玲
Owner 广州医学院
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