Sleep monitoring device and respiratory event detection method

Abstract

The present invention provides a sleep monitoring device and a respiratory event detection method. The sleep monitoring device includes a memory and a processor, the memory being configured to store program instructions, and the processor being configured to execute the program instructions to perform the respiratory event detection method. The method comprises: extracting the maximum amplitude value and the minimum amplitude value within a preset time period from a nasal airflow respiratory signal and a chest-abdominal movement respiratory signal to be processed, respectively, to obtain four amplitude values; determining whether the four amplitude values ​​meet a first preset condition; if the first preset condition is met, calculating the nasal airflow respiratory cycle amplitude and the chest-abdominal movement respiratory cycle amplitude within the preset time period to obtain a first cycle amplitude and a second cycle amplitude; determining whether the first cycle amplitude and the second cycle amplitude meet a second preset condition; and if the second preset condition is met, determining that the event is a respiratory effort-related micro-arousal event. The present invention improves the accuracy of respiratory event detection while also reducing detection costs.

Description

Technical Field

[0001] The present invention relates to the technical field of signal processing in medical equipment, and in particular to a sleep monitoring device and a respiratory event detection method. Background Art

[0002] Respiratory effort-related arousals (RERA) refer to micro-arousals during sleep caused by increased respiratory effort or flattening of the nasal pressure-airflow waveform during the inspiratory phase, accompanied by sudden changes in nasal airflow and chest and abdominal respiratory waveforms, lasting 10 seconds or more, but not meeting the conditions of obstructive sleep apnea or hypopnea events.

[0003] Some polysomnography (PSG) systems currently offer a function for detecting respiratory effort-related arousals, primarily by monitoring EEG and EOG signals. Additionally, some home ventilator brands offer a function for detecting respiratory effort-related arousals, primarily by monitoring airflow rate.

[0004] However, the current RERA event detection scheme based on EEG and EOG signals is complex and expensive; while the detection method based on a single flow signal has low sensitivity for RERA events, which affects the accuracy of respiratory event detection. Summary of the Invention

[0005] The present invention provides a sleep monitoring device and a respiratory event detection method, which not only improves the accuracy of respiratory event detection, but also reduces the detection cost and alleviates the medical burden of users.

[0006] In a first aspect, an embodiment of the present invention provides a sleep monitoring device, comprising: a memory for storing program instructions; and a processor for executing the program instructions to perform a respiratory event detection method, the respiratory event detection method comprising: extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from a nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value; extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from a thoracoabdominal movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value; determining whether the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition; if the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet the first preset condition, calculating the nasal airflow respiratory cycle amplitude and the thoracoabdominal movement respiratory cycle amplitude within the recent preset time period to obtain a first cycle amplitude value and a second cycle amplitude value; determining whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition; and if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, determining that the respiratory event is a respiratory effort-related micro-arousal event.

[0007] In a second aspect, an embodiment of the present invention provides a respiratory event detection method, which includes: extracting the maximum amplitude value and the minimum amplitude value in the most recent preset time period from the nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value; extracting the maximum amplitude value and the minimum amplitude value in the most recent preset time period from the thoracoabdominal movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value; judging whether the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet a first preset condition; if the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet the first preset condition, calculating the nasal airflow respiratory cycle amplitude and the thoracoabdominal movement respiratory cycle amplitude in the most recent preset time period to obtain a first cycle amplitude value and a second cycle amplitude value; judging whether the first cycle amplitude value and the second cycle amplitude value meet the second preset condition; if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, determining that the respiratory event is a respiratory effort-related micro-arousal event.

[0008] In a third aspect, an embodiment of the present invention provides a respiratory event detection device, comprising a first extraction unit, a second extraction unit, a first judgment unit, a detection unit, a second judgment unit, and a judgment unit. The first extraction unit is configured to extract the maximum amplitude value and the minimum amplitude value within a recent preset time period from the nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value. The second extraction unit is configured to extract the maximum amplitude value and the minimum amplitude value within a recent preset time period from the thoracoabdominal movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value. The first judgment unit is configured to determine whether the first, second, third, and fourth amplitude values ​​meet a first preset condition. The detection unit is configured to calculate the nasal airflow respiratory cycle amplitude and the thoracoabdominal movement respiratory cycle amplitude within the recent preset time period to obtain a first cycle amplitude value and a second cycle amplitude value if the first, second, third, and fourth amplitude values ​​meet the first preset condition. The second judgment unit is configured to determine whether the first and second cycle amplitude values ​​meet a second preset condition. The judgment unit is configured to determine that the respiratory event is a respiratory effort-related micro-arousal event if the first and second cycle amplitude values ​​meet the second preset condition.

[0009] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the respiratory event detection method as described above.

[0010] In the above embodiment, the maximum amplitude value and the minimum amplitude value of the nasal airflow respiratory signal and the chest and abdominal movement respiratory signal within a preset time period are extracted, and a preliminary preset judgment is performed on the maximum amplitude value and the minimum amplitude value. If the maximum amplitude value and the minimum amplitude value meet the preliminary preset judgment, it means that the extracted signal may be a micro-arousal related to respiratory effort. At this time, the maximum cycle amplitude value of these two signals is extracted again. If the maximum cycle amplitude value of one of the two respiratory signals meets the second preset judgment, it means that the respiratory event is a micro-arousal event related to respiratory effort. By making two judgments on the extracted signals, the accuracy of respiratory event detection is greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0012] Figure 1This is a flow chart of a respiratory event detection method provided by an embodiment of the present invention.

[0013] Figure 2 This is a schematic diagram of the structure of a sleep monitoring device provided by an embodiment of the present invention.

[0014] Figure 3 A schematic diagram of respiratory signal detection provided by an embodiment of the present invention.

[0015] Figure 4 This is a first sub-flowchart of the respiratory event detection method provided by an embodiment of the present invention.

[0016] Figure 5 This is a schematic diagram of the respiratory event detection device modules provided by an embodiment of the present invention.

[0017] Figure 6 This is a schematic diagram of the detection unit module provided in an embodiment of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0020] The terms "first," "second," "third," "fourth," and the like (if any) in the specification and claims of this application and in the accompanying drawings are used to distinguish similar program objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate. In other words, the described embodiments are implemented according to an order other than that illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, may also encompass other content. For example, a process, method, system, product, or apparatus comprising a series of steps or units need not be limited to only those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or apparatus.

[0021] It should be noted that the descriptions of "first", "second", etc. in the present invention are for descriptive purposes only and should not be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" or "second" may explicitly or implicitly include one or more of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but this must be based on the fact that they can be implemented by ordinary technicians in this field. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] Please refer to Figure 1 and Figure 2 , Figure 1 A schematic flow chart of a respiratory event detection method according to an embodiment of the present invention is provided. Figure 2 This is a schematic diagram of the structure of a sleep monitoring device provided in an embodiment of the present invention, wherein a respiratory event detection method is performed by sleep monitoring device 30. Sleep monitoring device 30 includes a memory 302 and a processor 301. The memory 302 is used to store program instructions, and the processor 301 is used to execute the program instructions to perform the respiratory event detection method. The respiratory event detection method specifically includes the following steps.

[0023] Step S101 : extracting the maximum amplitude value and the minimum amplitude value in a recent preset time period from the nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value.

[0024] Specifically, the nasal airflow breathing signal to be processed is a nasal airflow breathing signal that has been preprocessed, wherein the preprocessing refers to filtering the nasal airflow breathing signal. For example, the nasal airflow breathing signal is preprocessed by 0.01Hz high-pass and 5Hz low-pass filtering to remove noise, and then the maximum amplitude value and the minimum amplitude value of the nasal airflow breathing signal are extracted within the most recent preset time period to obtain the first amplitude value and the second amplitude value. It is understandable that the most recent preset time period refers to the extraction of the nasal airflow breathing signal within the earliest time period of receiving the nasal airflow breathing signal sent by the sleep monitoring device 30. It should be noted that the preset time range is 10 seconds to 15 seconds.

[0025] Step S102 : extracting the maximum amplitude value and the minimum amplitude value in a recent preset time period from the chest and abdomen movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value.

[0026] Specifically, the preprocessing of the chest and abdominal movement breathing signal is the same as the preprocessing of the nasal airflow breathing signal, and both need to be filtered, and then the maximum amplitude value and the minimum amplitude value of the chest and abdominal movement breathing signal are extracted within a preset time period to obtain the third amplitude value and the fourth amplitude value.

[0027] Step S103 , determining whether the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition.

[0028] Specifically, the first preset condition is: the difference between the first amplitude value and the second amplitude value is greater than the first preset value and less than the second preset value, or the difference between the third amplitude value and the fourth amplitude value is greater than the third preset value and less than the fourth preset value, wherein the first amplitude value is less than the second amplitude value, and the third amplitude value is less than the fourth amplitude value. For example, the first preset value is the normal nasal airflow breathing amplitude * 0.7, the second preset value is the normal nasal airflow breathing amplitude * 0.9, the third preset value is the normal chest and abdominal movement breathing amplitude * 0.7, and the fourth preset value is the normal chest and abdominal movement breathing amplitude * 0.9.

[0029] For better understanding, the first amplitude value is recorded as Breath_Max, the second amplitude value is recorded as Breath_Min, the third amplitude value is recorded as Thora_Max, the fourth amplitude value is recorded as Thora_Max, Breath_Thr1 represents the first preset value, Breath_Thr2 represents the second preset value, Thora_Thr1 represents the third preset value, Thora_Thr2 represents the fourth preset value, then the first preset condition is expressed as: ((Breath_Thr1 <Breath_Max-Breath_Min)&&(Breath_Max-Breath_Min<Breath_Thr2))||((Thora_Thr1<Thora_Max-Thora_Min)&&(Thora_Max-Thora_Min<Thor a_Thr2))。

[0030] Understandably, the difference between the first amplitude value and the second amplitude value represents the nasal airflow respiratory amplitude within the most recent preset time period, and the difference between the third amplitude value and the fourth amplitude value represents the chest and abdominal movement respiratory amplitude within the most recent preset time period. For example, if the nasal airflow respiratory amplitude within the most recent preset time period is greater than 0.7 times the normal nasal airflow respiratory amplitude and less than 0.9 times the normal nasal airflow respiratory amplitude, it indicates that the nasal airflow respiratory signal within the most recent preset time period has weakened; or if the chest and abdominal movement respiratory amplitude within the most recent preset time period is greater than 0.7 times the normal chest and abdominal movement respiratory amplitude and less than 0.9 times the normal chest and abdominal movement respiratory amplitude, it indicates that the chest and abdominal movement respiratory signal within the most recent preset time period has weakened.

[0031] Step S104: If the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet the first preset condition, the nasal airflow respiratory cycle amplitude and the chest and abdominal movement respiratory cycle amplitude in the most recent preset time period are calculated to obtain the first cycle amplitude value and the second cycle amplitude value.

[0032] Specifically, in step S103, it can be seen that if the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet the first preset condition, it means that the nasal airflow breathing signal is weakened or the chest and abdominal movement breathing amplitude is weakened. We know that the characteristic of the respiratory effort-related micro-arousal signal is that the signal amplitude is weakened first. If the first preset condition is met, that is, the nasal airflow or chest and abdominal movement breathing signal is weakened, it indicates that the signal during this period of time may be a respiratory effort-related micro-arousal. At this time, the nasal airflow breathing signal and the chest and abdominal movement breathing signal are further detected to detect the periodic amplitude values ​​of the nasal airflow breathing signal and the chest and abdominal movement breathing signal. The calculation method will be described in detail in the following steps and will not be repeated here.

[0033] Step S105 , determining whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition.

[0034] Specifically, the second preset condition is that the first cycle amplitude value is greater than K times the normal nasal airflow breathing amplitude or the second cycle amplitude value is greater than J times the chest and abdominal movement breathing amplitude, where K and J represent respiratory gain coefficients, K>1 and J>1.

[0035] For better understanding, the first cycle amplitude value is represented by Breath_Amp1, and the second cycle amplitude value is represented by Thora_Amp1. The second preset condition is expressed as: (Breath_Amp1>k*Breath_Amp)||(Thora_Amp1>J*Thora_Amp), where k>1 and J>1.

[0036] Step S106 : If the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, it is determined that the respiratory event is a respiratory effort-related arousal event.

[0037] Specifically, if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, it means that the patient's respiratory event is a micro-arousal event related to respiratory effort. Understandably, the characteristic of the micro-arousal signal related to respiratory effort is that the signal amplitude weakens first, and micro-arousal is caused by insufficient supply of breathing gas. If the user suddenly breathes with a large amplitude, the respiratory signal will suddenly increase, and the detected respiratory cycle amplitude value will also increase. Since different people have different breathing methods, the nasal airflow and chest and abdominal movement breathing amplitudes are not necessarily enhanced at the same time. Therefore, once one of the signals is detected to be enhanced, that is, the nasal airflow breathing cycle amplitude increases or the chest and abdominal movement breathing signal cycle amplitude increases, it can be determined as a micro-arousal event related to respiratory effort. (Please refer to Figure 3 )

[0038] In the above embodiment, the maximum amplitude value and the minimum amplitude value of the nasal airflow respiratory signal and the chest and abdominal movement respiratory signal within a preset time period are extracted, and a preliminary preset judgment is performed on the maximum amplitude value and the minimum amplitude value. If the maximum amplitude value and the minimum amplitude value meet the preliminary preset judgment, it indicates that the extracted signal may be a micro-arousal related to respiratory effort. At this time, the maximum cycle amplitude value of these two signals is extracted again. If one of the maximum cycle amplitude values ​​of the two respiratory signals meets the second preset judgment, it indicates that the respiratory event is a micro-arousal event related to respiratory effort. By performing two judgments on the extracted signals, the accuracy of respiratory event detection is greatly improved.

[0039] Please see Figure 4 , which is the first sub-flowchart of the respiratory event detection method provided by an embodiment of the present invention, calculating the nasal airflow respiratory amplitude within the most recent preset time period and the chest and abdominal movement respiratory amplitude within the most recent preset time period to obtain the first cycle amplitude value and the second cycle amplitude value specifically includes the following steps.

[0040] Step S201: Subtract the first amplitude value from the second amplitude value to obtain a first period amplitude value.

[0041] Step S202: Subtract the third amplitude value from the fourth amplitude value to obtain a second period amplitude value.

[0042] Specifically, the first cycle amplitude value represents the nasal airflow breathing amplitude within the most recent preset time period, and the second cycle amplitude value represents the chest and abdominal movement breathing amplitude within the most recent preset time period. Within the preset time period, the maximum amplitude value of the nasal airflow breathing signal is subtracted from the minimum amplitude value to obtain the first cycle amplitude value, and the maximum amplitude value of the chest and abdominal movement breathing signal is subtracted from the minimum amplitude value to obtain the second cycle amplitude value. The respiratory event is detected by obtaining the cycle amplitude value of the nasal airflow breathing signal or the cycle amplitude value of the chest and abdominal movement breathing signal.

[0043] In the above embodiment, respiratory events are detected by calculating the periodic amplitude values ​​of the two signals, and a macroscopic observation of the respiratory signals over a period of time is performed, which can more accurately determine whether the respiratory event is a respiratory effort-related micro-arousal event.

[0044] Please see Figure 5 , which is a module diagram of a respiratory event detection device provided by an embodiment of the present invention. The respiratory event detection device 100 includes a first extraction unit 101, a second extraction unit 102, a first judgment unit 103, a detection unit 104, a second judgment unit 105 and a determination unit 106.

[0045] The first extraction unit 101 is configured to extract the maximum amplitude value and the minimum amplitude value in a recent preset time period from the nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value.

[0046] Specifically, the nasal airflow breathing signal to be processed is a nasal airflow breathing signal that has been preprocessed, wherein the preprocessing refers to filtering the nasal airflow breathing signal. For example, the nasal airflow breathing signal is preprocessed by 0.01Hz high-pass and 5Hz low-pass filtering to remove noise, and then the maximum amplitude value and the minimum amplitude value of the nasal airflow breathing signal are extracted within the most recent preset time period to obtain the first amplitude value and the second amplitude value. It is understandable that the most recent preset time period refers to the extraction of the nasal airflow breathing signal within the earliest time period of receiving the nasal airflow breathing signal sent by the sleep monitoring device 30. It should be noted that the range of the most recent preset time period is 10 seconds to 15 seconds.

[0047] The second extraction unit 102 is configured to extract the maximum amplitude value and the minimum amplitude value in a recent preset time period from the chest and abdomen movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value.

[0048] Specifically, the preprocessing of the chest and abdominal movement breathing signal is the same as the preprocessing of the nasal airflow breathing signal, and both need to be filtered, and then the maximum amplitude value and the minimum amplitude value of the chest and abdominal movement breathing signal are extracted within a preset time period to obtain the third amplitude value and the fourth amplitude value.

[0049] The first judging unit 103 is configured to judge whether the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet a first preset condition.

[0050] Specifically, the first preset condition is: the difference between the first amplitude value and the second amplitude value is greater than the first preset value and less than the second preset value, or the difference between the third amplitude value and the fourth amplitude value is greater than the third preset value and less than the fourth preset value, wherein the first amplitude value is less than the second amplitude value, and the third amplitude value is less than the fourth amplitude value. For example, the first preset value is the normal nasal airflow breathing amplitude * 0.7, the second preset value is the normal nasal airflow breathing amplitude * 0.9, the third preset value is the normal chest and abdominal movement breathing amplitude * 0.7, and the fourth preset value is the normal chest and abdominal movement breathing amplitude * 0.9.

[0051] Understandably, the difference between the first amplitude value and the second amplitude value represents the nasal airflow respiratory amplitude within the most recent preset time period, and the difference between the third amplitude value and the fourth amplitude value represents the chest and abdominal movement respiratory amplitude within the most recent preset time period. For example, if the nasal airflow respiratory amplitude within the most recent preset time period is greater than 0.7 times the normal nasal airflow respiratory amplitude and less than 0.9 times the normal nasal airflow respiratory amplitude, it indicates that the nasal airflow respiratory signal within the most recent preset time period has weakened; or if the chest and abdominal movement respiratory amplitude within the most recent preset time period is greater than 0.7 times the normal chest and abdominal movement respiratory amplitude and less than 0.9 times the normal chest and abdominal movement respiratory amplitude, it indicates that the chest and abdominal movement respiratory signal within the most recent preset time period has weakened.

[0052] The detection unit 104 is used to calculate the nasal airflow respiratory cycle amplitude and the chest and abdominal movement respiratory cycle amplitude in the most recent preset time period to obtain the first cycle amplitude value and the second cycle amplitude value if the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet the first preset condition.

[0053] Specifically, in step S103, it can be seen that if the first amplitude value, the second amplitude value, the third amplitude value and the fourth amplitude value meet the first preset condition, it means that the nasal airflow breathing signal is weakened or the chest and abdominal movement breathing amplitude is weakened. We know that the characteristic of the respiratory effort-related micro-arousal signal is that the signal amplitude is weakened first. If the first preset condition is met, that is, the nasal airflow or chest and abdominal movement breathing signal is weakened, it indicates that the signal during this period of time may be a respiratory effort-related micro-arousal. At this time, the nasal airflow breathing signal and the chest and abdominal movement breathing signal are further detected to detect the periodic amplitude values ​​of the nasal airflow breathing signal and the chest and abdominal movement breathing signal.

[0054] The second judging unit 105 is configured to judge whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition.

[0055] Specifically, the second preset condition is that the first cycle amplitude value is greater than K times the normal nasal airflow breathing amplitude or the second cycle amplitude value is greater than J times the chest and abdominal movement breathing amplitude, where K and J represent respiratory gain coefficients, K>1 and >1.

[0056] The determining unit 106 is configured to determine that the respiratory event is a respiratory effort-related arousal event if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition.

[0057] Specifically, if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, it means that the patient's respiratory event is a micro-arousal event related to respiratory effort. Understandably, the characteristic of the micro-arousal signal related to respiratory effort is that the signal amplitude weakens first, and micro-arousal is caused by insufficient supply of breathing gas. If the user suddenly breathes with a large amplitude, the respiratory signal will suddenly increase, and the detected respiratory cycle amplitude value will also increase. Since different people have different breathing methods, the nasal airflow and chest and abdominal movement breathing amplitudes are not necessarily enhanced at the same time. Therefore, once one of the signals is detected to be enhanced, that is, the nasal airflow breathing cycle amplitude increases or the chest and abdominal movement breathing signal cycle amplitude increases, it can be determined as a micro-arousal event related to respiratory effort. (Please refer to Figure 3 ).

[0058] Please see Figure 6 , which is a schematic diagram of a detection unit module provided in an embodiment of the present invention, wherein the detection unit 104 includes a first calculation unit 1041 and a second calculation unit 1042.

[0059] The first calculating unit 1041 is configured to subtract the first amplitude value from the second amplitude value to obtain a first period amplitude value.

[0060] The second calculating unit 1042 is configured to subtract the third amplitude value from the fourth amplitude value to obtain a second period amplitude value.

[0061] In the above embodiment, the maximum amplitude value and the minimum amplitude value of the nasal airflow respiratory signal and the chest and abdominal movement respiratory signal within a preset time period are extracted, and a preliminary preset judgment is performed on the maximum amplitude value and the minimum amplitude value. If the maximum amplitude value and the minimum amplitude value meet the preliminary preset judgment, it indicates that the extracted signal may be a micro-arousal related to respiratory effort. At this time, the maximum cycle amplitude value of these two signals is extracted again. If one of the maximum cycle amplitude values ​​of the two respiratory signals meets the second preset judgment, it indicates that the respiratory event is a micro-arousal event related to respiratory effort. By performing two judgments on the extracted signals, the accuracy of respiratory event detection is greatly improved.

[0062] Please refer to the following again Figure 2 The sleep monitoring device 30 specifically includes a memory 302 and a processor 301. In some embodiments, the processor 301 can be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, which is used to run the program instructions stored in the memory 302.

[0063] The memory 302 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 302 can be an internal storage unit of a computer device, such as a hard disk of a computer device. In other embodiments, the memory 302 can also be an external storage device of a computer device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the computer device. Furthermore, the memory 302 can also include both an internal storage unit of a computer device and an external storage device. The memory 302 can not only be used to store application software and various types of data installed on the computer device, such as code for implementing a respiratory event detection method, but can also be used to temporarily store data that has been output or is to be output.

[0064] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

[0065] The above examples are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope of the present invention.

Claims

1. A sleep monitoring device, characterized in that: The sleep monitoring device comprises: a memory for storing program instructions; and A processor is configured to execute the program instructions to perform a respiratory event detection method, the respiratory event detection method comprising: extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from a nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value, wherein the nasal airflow respiratory signal to be processed is a filtered nasal airflow respiratory signal, and the difference between the first amplitude value and the second amplitude value represents the nasal airflow respiratory amplitude within the recent preset time period; Extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from the chest-abdominal movement and breathing signal to be processed to obtain a third amplitude value and a fourth amplitude value, wherein the chest-abdominal movement and breathing signal to be processed is a chest-abdominal movement and breathing signal that has been filtered, and the difference between the third amplitude value and the fourth amplitude value represents the chest-abdominal movement and breathing amplitude within the recent preset time period; Determining whether the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition, wherein the first preset condition is: a difference between the first amplitude value and the second amplitude value is greater than a first preset value and less than a second preset value, and a difference between the third amplitude value and the fourth amplitude value is greater than the third preset value and less than a fourth preset value, wherein the first preset value is less than the second preset value, the third preset value is less than the fourth preset value, the nasal airflow breathing amplitude within the most recent preset time period is a first cycle amplitude value, and the chest and abdominal movement breathing amplitude within the most recent preset time period is a second cycle amplitude value; If the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition, determining whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition, wherein the second preset condition is: the first cycle amplitude value is greater than K times the normal nasal airflow breathing amplitude and the second cycle amplitude value is greater than J times the normal chest and abdominal movement breathing amplitude, wherein K and J represent respiratory gain coefficients, K>1 and J>1; If the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, the respiratory event is determined to be a respiratory effort-related micro-arousal event.

2. The sleep monitoring device according to claim 1, wherein: The latest preset time period is 10 seconds to 15 seconds.

3. A respiratory event detection method, characterized in that: The respiratory event detection method comprises: extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from a nasal airflow respiratory signal to be processed to obtain a first amplitude value and a second amplitude value, wherein the nasal airflow respiratory signal to be processed is a filtered nasal airflow respiratory signal, and the difference between the first amplitude value and the second amplitude value represents the nasal airflow respiratory amplitude within the recent preset time period; extracting a maximum amplitude value and a minimum amplitude value within a recent preset time period from the chest and abdominal movement respiratory signal to be processed to obtain a third amplitude value and a fourth amplitude value, wherein the chest and abdominal movement respiratory signal to be processed is a chest and abdominal movement respiratory signal that has been filtered, and the difference between the third amplitude value and the fourth amplitude value represents the chest and abdominal movement respiratory amplitude within the recent preset time period; Determining whether the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition, wherein the first preset condition is: a difference between the first amplitude value and the second amplitude value is greater than a first preset value and less than a second preset value, and a difference between the third amplitude value and the fourth amplitude value is greater than the third preset value and less than a fourth preset value, wherein the first preset value is less than the second preset value, the third preset value is less than the fourth preset value, the nasal airflow breathing amplitude within the most recent preset time period is a first cycle amplitude value, and the chest and abdominal movement breathing amplitude within the most recent preset time period is a second cycle amplitude value; If the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value meet a first preset condition, determining whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition, wherein the second preset condition is: the first cycle amplitude value is greater than K times the normal nasal airflow breathing amplitude and the second cycle amplitude value is greater than J times the normal chest and abdominal movement breathing amplitude, wherein K and J represent respiratory gain coefficients, K>1 and J>1; If the first cycle amplitude value and the second cycle amplitude value meet the second preset condition, the respiratory event is determined to be a respiratory effort-related micro-arousal event.

4. A respiratory event detection device, characterized in that: The respiratory event detection device comprises: a first extraction unit, configured to extract a maximum amplitude value and a minimum amplitude value within a recent preset time period from a nasal airflow respiration signal to be processed, wherein the nasal airflow respiration signal to be processed is a filtered nasal airflow respiration signal, to obtain a first amplitude value and a second amplitude value; a second extraction unit, configured to extract a maximum amplitude value and a minimum amplitude value within a recent preset time period from the chest-abdomen movement and breathing signal to be processed, to obtain a third amplitude value and a fourth amplitude value, wherein the chest-abdomen movement and breathing signal to be processed is a chest-abdomen movement and breathing signal that has been filtered; a first determining unit, configured to determine whether the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value satisfy a first preset condition, wherein the first preset condition is: a difference between the first amplitude value and the second amplitude value is greater than a first preset value and less than a second preset value, and a difference between the third amplitude value and the fourth amplitude value is greater than a third preset value and less than a fourth preset value, wherein the first preset value is less than the second preset value, and the third preset value is less than the fourth preset value; a detection unit configured to, if the first amplitude value, the second amplitude value, the third amplitude value, and the fourth amplitude value satisfy a first preset condition, wherein a difference between the first amplitude value and the second amplitude value represents a nasal airflow respiratory amplitude within a most recent preset time period, wherein the nasal airflow respiratory amplitude within the most recent preset time period is a first cycle amplitude value, and wherein a difference between the third amplitude value and the fourth amplitude value represents a chest and abdominal movement respiratory amplitude within the most recent preset time period, wherein the chest and abdominal movement respiratory amplitude within the most recent preset time period is a second cycle amplitude value; a second determining unit, configured to determine whether the first cycle amplitude value and the second cycle amplitude value meet a second preset condition, wherein the second preset condition is: the first cycle amplitude value is greater than K times the normal nasal airflow breathing amplitude and the second cycle amplitude value is greater than J times the normal chest and abdominal movement breathing amplitude, wherein K and J represent respiratory gain coefficients, K>1 and J>1; A determination unit is configured to determine that the respiratory event is a respiratory effort-related arousal event if the first cycle amplitude value and the second cycle amplitude value meet the second preset condition.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which are used to implement the respiratory event detection method according to claim 3 when executed by a processor.

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