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Sleep staging method based on electrocardiogram signals

An ECG signal and sleep staging technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problem of difficulty in improving the accuracy of sleep staging, and achieve the goal of reducing the monitoring load, simplifying the monitoring process, and improving the accuracy. Effect

Inactive Publication Date: 2019-05-21
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

[0006] However, in the sleep staging method based on the electrocardiogram monitor in the prior art, the accuracy of sleep staging is difficult to improve.

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  • Sleep staging method based on electrocardiogram signals
  • Sleep staging method based on electrocardiogram signals
  • Sleep staging method based on electrocardiogram signals

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0034] Firstly, the method of sleep staging described below in the present invention will be described: during sleep, the waveform of EEG will change with the change of sleep depth. In 1953, Aserinsky and Kleitman divided sleep into two major stages according to the different EEG waveforms, Rapid Eye Movement Sleep (REM Sleep) and Non-Rapid Eye Movement Sleep (NREM Sleep). Sleep). NREM phase and RREM phase appear alternately during sleep, and each phase lasts about 90-110 minutes. A normal 6-8 hour sleep period has about 4-6 such cycles. In 1968, Rechtschaffen and Kales divided the sleep stage NREM stage into four different stages according to EEG changes: sleep stage I, sleep stage II, sleep stage III, and sleep stage I...

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Abstract

The invention provides a sleep staging method based on electrocardiogram signals. The method comprises the steps that original electrocardiogram signals are acquired, and the original electrocardiographic signals are denoised to obtain the electrocardiogram signals; R points and RP intervals are acquired from the electrocardiogram signals, and a respiratory waveform signal is obtained according tothe R points and the RR intervals; according to the electrocardiogram signals and the respiratory waveform signal, electrocardiogram signal features, respiratory signal features and cardiopulmonary coupling features are acquired; the electrocardiogram signal features, the respiratory signal features and the cardiopulmonary coupling features are subjected to feature selection; according to the selected electrocardiogram signal features, respiratory signal features and cardiopulmonary coupling features, a machine learning algorithm is adopted for sleep staging. The accuracy of sleep staging based on the electrocardiogram signals is improved by introducing electrocardiogram signal complexity features in the electrocardiogram signal features.

Description

technical field [0001] The invention relates to a sleep staging method based on electrocardiographic signals. Background technique [0002] With the rapid development of social economy, people pay more and more attention to health status. Sleep is one of the most important physiological activities for people. The quality of sleep directly or indirectly affects the healthy development of the human body. Due to fast-paced life, stress and bad living habits, more people suffer from sleep disorders. Therefore, it is very important to monitor and evaluate sleep. [0003] Sleep staging signals can be obtained through sleep monitoring. Accurate sleep staging can help people correctly understand their own sleep structure and sleep quality. Traditional sleep staging is usually achieved by polysomnography (PSG). PSG records and analyzes EEG, ECG, EMG, blood oxygen saturation, respiratory airflow, chest respiration, and abdominal respiration during the whole night's sleep. The accur...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/0452A61B5/08A61B5/00
Inventor 陈贤祥童中凯方震王贤龙夏善红
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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