Sleep analysis system and methof thereof

Abstract

This invention discloses a sleep analysis system and method. The sleep analysis system includes a radar module, a processing module electrically coupled to the radar module, an analysis module electrically coupled to the processing module, and a display module electrically coupled to the analysis module. The radar module transmits radar wave signals to the subject and receives radar echo signals from the subject. The processing module processes the radar echo signals to extract respiratory characteristic signals, heart rhythm characteristic signals, and movement characteristic signals. The analysis module can analyze the subject's sleep stage information based on the respiratory characteristic signals, heart rhythm characteristic signals, and movement characteristic signals. The display module receives the sleep stage information and displays it.

Claims

1. A sleep analysis system, comprising: A radar module transmits a radar wave signal to a subject and receives a radar echo signal from the subject. A processing module electrically coupled to the radar module receives the radar echo signal and processes the radar echo signal to extract a respiratory feature signal, a heart rhythm feature signal, and a movement feature signal. An analysis module is electrically coupled to the processing module. The analysis module can analyze the sleep stage information of the subject based on the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal. And a display module electrically coupled to the analysis module, the display module being able to receive the sleep stage information and display the sleep stage information; The analysis module includes preset sleep stage information, comprising a sleep onset stage, a light sleep stage, a deep sleep stage, and a REM (Rapid Eye Movement) stage. The sleep onset stage includes a first respiratory rate range, a first heart rate range, and a first movement frequency range. The light sleep stage includes a second respiratory rate range, a second heart rate range, and a second movement frequency range. The deep sleep stage includes a third respiratory rate range, a third heart rate range, and a third movement frequency range. The REM stage includes a fourth respiratory rate range, a fourth heart rate range, and a fourth movement frequency range. The first respiratory rate range is greater than or equal to the second respiratory rate range, and the second respiratory rate range is greater than or equal to the third respiratory rate range. The first heart rate range is greater than or equal to the second heart rate range, and the second heart rate range is greater than or equal to the third heart rate range. The first movement frequency range is greater than or equal to the second movement frequency range, and the second movement frequency range is greater than or equal to the third movement frequency range. Wherein, the first respiratory rate range is 0.3~0.5 Hz, the first heart rate range is 1.2~1.8 Hz, and the first shifting frequency range is 1~10 Hz; wherein, the second respiratory rate range is 0.2~0.4 Hz, the second heart rate range is 0.8~1.2 Hz, and the second shifting frequency range is 0.3~5 Hz; wherein, the third respiratory rate range is 0.15~0.25 Hz, the third heart rate range is 0.6~1 Hz, and the third shifting frequency range is 0.1~1 Hz; wherein, the fourth respiratory rate range is 0.2~0.5 Hz, the fourth heart rate range is 0.8~1.5 Hz, and the fourth shifting frequency range is 0.5~3 Hz; wherein, when the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the first respiratory frequency range, the first heart rhythm frequency range, and the first movement frequency range, respectively, the analysis module analyzes the sleep stage information of the subject as the sleep onset stage; when the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the second respiratory frequency range, the second heart rhythm frequency range, and the second movement frequency range, respectively, the analysis module analyzes the sleep stage information of the subject as the light sleep stage. When the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the third respiratory rate interval, the third heart rate interval, and the third movement frequency interval, respectively, the analysis module determines that the subject's sleep stage information is the deep sleep stage. When the respiratory characteristic signal, the heart rate characteristic signal, and the movement characteristic signal fall within the fourth respiratory rate interval, the fourth heart rate interval, and the fourth movement frequency interval, respectively, the analysis module determines that the subject's sleep stage information is the rapid eye movement (REM) stage.

2. The sleep analysis system as described in claim 1, wherein, The processing module includes a filtering unit and a processing unit electrically coupled to the filtering unit. The filtering unit receives the radar echo signal and processes the radar echo signal using median filtering to generate a radar echo filtered signal. The processing unit receives the radar echo signal and performs calculations on the radar echo signal using the Differential Recursive Least Squares (DR-RLS) algorithm to extract the respiratory feature signal, the heart rhythm feature signal, and the movement feature signal.

3. The sleep analysis system as described in claim 2, wherein, The processing module further includes a harmonic suppression unit, which is electrically coupled between the filtering unit and the processing unit. The harmonic suppression unit can process the radar echo filter signal to suppress the breathing harmonics of the radar echo filter signal.

4. The sleep analysis system as described in claim 2, wherein, The processing module further includes a data cleaning unit electrically coupled to the filtering unit. The data cleaning unit receives the radar echo signal and removes an abnormal signal from the radar echo signal. The data cleaning unit then transmits the removed radar echo signal to the filtering unit.

5. The sleep analysis system as described in claim 1, wherein, The analysis module includes a convolutional neural network (CNN) model and a hidden Markov model (HMM); wherein, the analysis module can analyze the respiratory feature signals, the heart rhythm feature signals, and the movement feature signals through the CNN model and the HMM to obtain the sleep stage information of the subject.

6. The sleep analysis system as described in claim 1, wherein, The sleep analysis system further includes a cloud server that receives and stores the sleep stage information of the subject.

7. A sleep analysis method, comprising the following steps: A preparation step: A sleep analysis system is provided, comprising a radar module, a processing module electrically coupled to the radar module, an analysis module electrically coupled to the processing module, and a display module electrically coupled to the analysis module; A detection step: The radar module transmits a radar wave signal to a subject and receives a radar echo signal echoed from the subject; A processing step: The processing module receives the radar echo signal and processes the radar echo signal to extract a respiratory feature signal, a heart rhythm feature signal, and a movement feature signal; An analysis step: The analysis module analyzes the subject's sleep stage information based on the respiratory feature signal, the heart rhythm feature signal, and the movement feature signal; and a display step: The display module receives the sleep stage information and displays the sleep stage information. The analysis module includes preset sleep stage information, comprising a sleep onset stage, a light sleep stage, a deep sleep stage, and a REM (Rapid Eye Movement) stage. The sleep onset stage includes a first respiratory rate range, a first heart rate range, and a first movement frequency range. The light sleep stage includes a second respiratory rate range, a second heart rate range, and a second movement frequency range. The deep sleep stage includes a third respiratory rate range, a third heart rate range, and a third movement frequency range. The REM stage includes a fourth respiratory rate range, a fourth heart rate range, and a fourth movement frequency range. The first respiratory rate range is greater than or equal to the second respiratory rate range, and the second respiratory rate range is greater than or equal to the third respiratory rate range. The first heart rate range is greater than or equal to the second heart rate range, and the second heart rate range is greater than or equal to the third heart rate range. The first movement frequency range is greater than or equal to the second movement frequency range, and the second movement frequency range is greater than or equal to the third movement frequency range. Wherein, the first respiratory rate range is 0.3~0.5 Hz, the first heart rate range is 1.2~1.8 Hz, and the first shifting frequency range is 1~10 Hz; wherein, the second respiratory rate range is 0.2~0.4 Hz, the second heart rate range is 0.8~1.2 Hz, and the second shifting frequency range is 0.3~5 Hz; wherein, the third respiratory rate range is 0.15~0.25 Hz, the third heart rate range is 0.6~1 Hz, and the third shifting frequency range is 0.1~1 Hz; wherein, the fourth respiratory rate range is 0.2~0.5 Hz, the fourth heart rate range is 0.8~1.5 Hz, and the fourth shifting frequency range is 0.5~3 Hz; wherein, when the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the first respiratory frequency range, the first heart rhythm frequency range, and the first movement frequency range, respectively, the analysis module analyzes the sleep stage information of the subject as the sleep onset stage; when the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the second respiratory frequency range, the second heart rhythm frequency range, and the second movement frequency range, respectively, the analysis module analyzes the sleep stage information of the subject as the light sleep stage. When the respiratory characteristic signal, the heart rhythm characteristic signal, and the movement characteristic signal fall within the third respiratory rate interval, the third heart rate interval, and the third movement frequency interval, respectively, the analysis module determines that the subject's sleep stage information is the deep sleep stage. When the respiratory characteristic signal, the heart rate characteristic signal, and the movement characteristic signal fall within the fourth respiratory rate interval, the fourth heart rate interval, and the fourth movement frequency interval, respectively, the analysis module determines that the subject's sleep stage information is the rapid eye movement (REM) stage.

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