A method for identifying obstructive apnea and related equipment

Abstract

The embodiment of the present invention discloses an obstructive apnea identification method and related equipment, the method comprising: collecting a cardiac impact signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac impact signal, and determining the waveform amplitude of the respiratory wave, the change data of the waveform amplitude, the peak amplitude of the respiratory wave, and the change data of the frequency of the respiratory wave; judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration of the waveform amplitude maintaining the same value; if the target to be measured is in the abnormal breathing state, judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude, and the change data of the frequency. The cardiac impact signal can be detected by a variety of different sensors, which is convenient for collection, reduces the hardware requirements for obstructive apnea identification, and increases the scope of application of obstructive apnea identification.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to an obstructive apnea recognition method and related equipment. Background Art

[0002] The main clinical manifestations of obstructive sleep apnea are snoring and irregular snoring during sleep at night, repeated apnea and awakening, obvious daytime sleepiness, memory loss, and in severe cases, psychological, intellectual, and behavioral abnormalities, as well as complications such as myocardial hypoxia and myocardial infarction. The general gold standard for obstructive sleep apnea is to detect it through polysomnography, but polysomnography is cumbersome and expensive to wear. Sleeping in the hospital is different from sleeping at home, which reduces sleep quality and makes it impossible to accurately monitor obstructive sleep apnea.

[0003] The cardiac signal is a physiological signal that reflects the mechanical activities of the heart, breathing, and body movement. The signal frequency is 0.05 to 20 Hz. The cardiac signal can be detected by a variety of different sensors. Summary of the invention

[0004] In view of this, the present invention provides an obstructive sleep apnea identification method and related equipment, which are used to solve the problems of cumbersome wearing and small application scope when monitoring obstructive sleep apnea through polysomnography in the prior art.

[0005] To achieve one or part or all of the above purposes or other purposes, the present invention provides an obstructive sleep apnea identification method, comprising: collecting a cardiac impact signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac impact signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the waveform amplitude change data includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value;

[0006] Based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, judging whether the target to be measured is in an abnormal breathing state, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value;

[0007] If the target to be measured is in the abnormal breathing state, it is determined whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency.

[0008] Optionally, the step of acquiring the respiratory wave of the target to be measured based on the cardiac ballistic signal includes:

[0009] The heartbeat signal is low-pass filtered to obtain the respiratory wave of the target to be measured.

[0010] Optionally, the step of determining the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave includes:

[0011] The respiratory wave is subjected to a wave search and valley search operation to obtain the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave.

[0012] Optionally, before the step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, the method further includes:

[0013] Selecting a first change value representing a decrease in the waveform amplitude from the change values ​​of the waveform amplitude;

[0014] If the first change value is greater than a first preset value, it is determined that the target to be detected is in a first initial abnormal state.

[0015] Optionally, the step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value includes:

[0016] Acquire a target waveform amplitude when the target to be measured is in a first initial abnormal state and a target duration corresponding to the target waveform amplitude;

[0017] It is determined whether the target to be measured is in an abnormal breathing state based on the target waveform amplitude and the target duration.

[0018] Optionally, the step of judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency includes:

[0019] Determining a second change value representing a rise in the waveform amplitude among the change values ​​of the waveform amplitude;

[0020] If the second change value is less than a second preset value, it is determined that the target to be detected is in a second initial abnormal state;

[0021] Acquire target peak amplitude and target change data of the frequency when the target to be measured is in a second initial abnormal state;

[0022] It is determined whether the target to be measured is in an obstructive apnea state based on the target peak amplitude and the target change data.

[0023] Optionally, the step of judging whether the target to be measured is in an obstructive apnea state based on the target peak amplitude and the target change data includes:

[0024] Determining whether the target to be measured is in a labored breathing state based on the target peak amplitude and the target change data;

[0025] If the target to be measured is in a labored breathing state, obtaining the start time of the labored breathing state;

[0026] Determining the temporal relationship between the labored breathing state and the abnormal breathing state according to the starting time of the labored breathing state;

[0027] Based on the time sequence relationship, it is determined whether the target to be detected is in an obstructive apnea state.

[0028] On the other hand, the present application provides an obstructive apnea identification device, the device comprising:

[0029] a conversion module, for collecting a cardiac impact signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac impact signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value;

[0030] A first identification module is used to determine whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold and the duration for which the waveform amplitude is less than the first threshold is greater than a second threshold;

[0031] The second identification module is used to determine whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency if the target to be measured is in the abnormal breathing state.

[0032] In a third aspect, the present application provides an electronic device comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the obstructive apnea identification method as described above are performed.

[0033] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the obstructive apnea identification method as described above are executed.

[0034] Implementing the embodiments of the present invention will have the following beneficial effects:

[0035] By collecting the cardiac impact signal of the target to be measured, the respiratory wave of the target to be measured is obtained based on the cardiac impact signal, and the waveform amplitude of the respiratory wave, the change data of the waveform amplitude, the peak amplitude of the respiratory wave and the change data of the frequency of the respiratory wave are determined, and the change data of the waveform amplitude includes the change value of the waveform amplitude and the duration for which the waveform amplitude maintains the same value; based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, it is judged whether the target to be measured is in an abnormal breathing state, and the abnormal breathing state is that the waveform amplitude is less than a first threshold and the duration of the waveform amplitude less than the first threshold is greater than a second threshold; if the target to be measured is in the abnormal breathing state, it is judged whether the target to be measured is in an obstructive sleep apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency. By converting the cardiac signal into a respiratory wave, and judging whether the target to be measured is in an obstructive sleep apnea state according to the amplitude and frequency of the respiratory wave, the cardiac signal can be detected by a variety of different sensors, and the collection is convenient. The cardiac signal collection process can be completed without much professional knowledge. It is suitable for personal and home use, reduces the hardware requirements for obstructive sleep apnea recognition, and increases the scope of application of the obstructive sleep apnea recognition method. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 these drawings without paying creative work.

[0037] in:

[0038] Figure 1 is a flow chart of an obstructive apnea identification method provided in an embodiment of the present application;

[0039] Figure 2 is a flow chart of another obstructive apnea identification method provided in an embodiment of the present application;

[0040] Figure 3 is a structural schematic diagram of an obstructive apnea identification device provided in an embodiment of the present application;

[0041] Figure 4 is a structural schematic diagram of an obstructive apnea identification device provided in an embodiment of the present application;

[0042] Figure 5 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application;

[0043] Figure 6 It is a structural schematic diagram of a storage medium provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] like Figure 1 As shown, the embodiment of the present application provides a method for identifying obstructive apnea, comprising:

[0046] S101, collecting a cardiac signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains a same value;

[0047] S102, judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value;

[0048] S103: If the target to be measured is in the abnormal breathing state, determine whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency.

[0049] By converting the cardiac signal into a respiratory wave, and judging whether the target to be measured is in an obstructive sleep apnea state according to the amplitude and frequency of the respiratory wave, the cardiac signal can be detected by a variety of different sensors, and the collection is convenient. The cardiac signal collection process can be completed without much professional knowledge. It is suitable for personal and home use, reduces the hardware requirements for obstructive sleep apnea recognition, and increases the scope of application of the obstructive sleep apnea recognition method.

[0050] In a possible implementation, the step of acquiring the respiratory wave of the target to be measured based on the ballistocardi signal includes:

[0051] The heartbeat signal is low-pass filtered to obtain the respiratory wave of the target to be measured.

[0052] Exemplarily, the collected cardiac ballistic signal is subjected to 1 Hz low-pass filtering to obtain the respiratory wave of the target to be measured, and the process of converting the cardiac ballistic signal into the respiratory wave is completed. The 1 Hz low-pass filtering is used to reduce the high-frequency interference caused by the electronic equipment.

[0053] In a possible implementation, the step of determining the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave includes:

[0054] The respiratory wave is subjected to a wave search and valley search operation to obtain the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave.

[0055] Exemplarily, a search operation is performed on the peaks and troughs of the respiratory wave to obtain change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave.

[0056] In a possible implementation manner, before the step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, the method further includes:

[0057] Selecting a first change value representing a decrease in the waveform amplitude from the change values ​​of the waveform amplitude;

[0058] If the first change value is greater than a first preset value, it is determined that the target to be detected is in a first initial abnormal state.

[0059] Exemplarily, the change value of the waveform amplitude is equal to the difference between the waveform amplitude before the timing and the waveform amplitude after the timing, that is, when the waveform amplitude decreases, the first change value is a positive number, and when the first change value is greater than the first preset value, that is, within the preset time, the decrease in the waveform amplitude is greater than the first preset value, and the first preset value is set according to the actual application, it is determined that the target to be measured is in the first initial abnormal state. When the waveform amplitude changes, different processing methods are selected for different changes in the waveform amplitude, and the stage where the waveform amplitude decreases is screened out, thereby reducing the amount of calculation for subsequent judgment of whether the target to be measured is in an abnormal breathing state.

[0060] In a possible implementation, the step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value includes:

[0061] Acquire a target waveform amplitude when the target to be measured is in a first initial abnormal state and a target duration corresponding to the target waveform amplitude;

[0062] It is determined whether the target to be measured is in an abnormal breathing state based on the target waveform amplitude and the target duration.

[0063] Exemplarily, in the case where the target to be measured is in a first initial abnormal state, whether the target to be measured is in an abnormal breathing state is further determined based on the target waveform amplitude when the target to be measured is in the first initial abnormal state and the target duration corresponding to the target waveform amplitude.

[0064] In a possible implementation, the step of judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency includes:

[0065] Determining a second change value representing a rise in the waveform amplitude among the change values ​​of the waveform amplitude;

[0066] If the second change value is less than a second preset value, it is determined that the target to be detected is in a second initial abnormal state;

[0067] Acquire target peak amplitude and target change data of the frequency when the target to be measured is in a second initial abnormal state;

[0068] It is determined whether the target to be measured is in an obstructive apnea state based on the target peak amplitude and the target change data.

[0069] Exemplarily, the change value of the waveform amplitude is equal to the difference between the waveform amplitude before the timing and the waveform amplitude after the timing, that is, when the waveform amplitude rises, the second change value is a negative number. If the second change value is less than the second preset value, it means that the rising amplitude value of the waveform amplitude is greater than the second preset value, that is, the data when the waveform amplitude decreases and remains unchanged is excluded, thereby reducing the amount of calculation for subsequent judgment of whether the target to be measured is in an obstructive apnea state.

[0070] In a possible implementation, the step of determining whether the target to be measured is in an obstructive apnea state based on the target peak amplitude and the target change data includes:

[0071] Determining whether the target to be measured is in a labored breathing state based on the target peak amplitude and the target change data;

[0072] If the target to be measured is in a labored breathing state, obtaining the start time of the labored breathing state;

[0073] Determining the temporal relationship between the labored breathing state and the abnormal breathing state according to the starting time of the labored breathing state;

[0074] Based on the time sequence relationship, it is determined whether the target to be detected is in an obstructive apnea state.

[0075] Exemplarily, the manifestation of the labored breathing state is that the peak and trough amplitudes of the respiratory waves continue to increase, and the respiratory frequency increases. Then, whether the target to be measured is in the labored breathing state is judged based on the target peak amplitude and the target change data. At the same time, due to the airway obstruction caused by obstructive apnea, there will be labored breathing. Therefore, by judging the timing relationship between the labored breathing state and the abnormal breathing state, it is determined whether the target to be measured is in the obstructive apnea state, thereby ensuring the accuracy of obstructive apnea state identification.

[0076] In a possible implementation, the embodiment of the present application provides another method for identifying obstructive apnea, including: collecting a cardiac impact signal, using a filter to perform a 1 Hz low-pass filter on the cardiac impact signal to obtain a respiratory signal, performing a respiratory wave search on the respiratory signal to obtain a peak amplitude and interval, performing a respiratory effort analysis based on the peak amplitude and interval, the length of which is 4-9 respiratory waves, obtaining the number of occurrences of respiratory effort within a preset time, within 5 minutes, and obtaining a first judgment standard for judging whether there is respiratory effort after the respiratory wave is reduced by setting two judgment conditions for effortful breathing; for respiratory The absorption wave sets the respiratory wave amplitude judgment condition, that is, the waveform amplitude m is 50, the duration n is 10s, and the number of times the respiratory wave amplitude decreases by m% and lasts for n seconds within 5 minutes is judged. If the respiratory wave amplitude does not decrease by m% and lasts for n seconds under the conditions of the waveform amplitude m being 50 and the duration n being 10s, then m is adjusted to 30 and the duration n is 8s, and the respiratory wave amplitude is reduced by m% and lasts for n seconds. This is used as the second judgment standard for judging whether there is breathing effort after the respiratory wave is reduced. Based on the first judgment standard and the second judgment standard, it is judged whether obstructive sleep apnea occurs in the target to be tested.

[0077] On the other hand, Figure 3 As shown, the present application provides an obstructive apnea identification device, the device comprising:

[0078] The conversion module 201 is used to collect the cardiac impact signal of the target to be measured, obtain the respiratory wave of the target to be measured based on the cardiac impact signal, and determine the waveform amplitude of the respiratory wave, the change data of the waveform amplitude, the peak amplitude of the respiratory wave and the change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes the change value of the waveform amplitude and the duration of the waveform amplitude maintaining the same value;

[0079] A first identification module 202, configured to determine whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is when the waveform amplitude is less than a first threshold and the duration for which the waveform amplitude is less than the first threshold is greater than a second threshold;

[0080] The second identification module 203 is used to determine whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency if the target to be measured is in the abnormal breathing state.

[0081] In a possible implementation, Figure 4 As shown, the present application provides another obstructive apnea identification device, the device comprising:

[0082] A collection unit, collecting heart shock signals;

[0083] The signal filtering unit performs a 1Hz low-pass filter on the collected cardiac impact signal to obtain the respiratory wave;

[0084] A breathing amplitude analysis unit is used to analyze whether the breathing wave amplitude is significantly reduced, because after the airway is blocked due to obstructive apnea, the breathing wave amplitude will be significantly reduced, which is equivalent to judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration of the waveform amplitude maintaining the same value;

[0085] A breathing effort analysis unit is used to analyze whether there is a breathing effort phenomenon, because after the airway is blocked due to obstructive sleep apnea, there will be a breathing effort phenomenon, which is equivalent to judging whether the target to be measured is in a state of labored breathing based on the target peak amplitude and the target change data;

[0086] The obstructive apnea judgment unit performs obstructive apnea judgment based on the results of the breathing amplitude analysis unit and the breathing effort analysis unit, which is equivalent to judging the timing relationship between the effortful breathing state and the abnormal breathing state based on the starting time of the effortful breathing state; and judging whether the target to be measured is in an obstructive apnea state based on the timing relationship.

[0087] In a possible implementation, Figure 5As shown, an embodiment of the present application provides an electronic device 300, including: a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented: collecting a cardiac impact signal of a target to be measured, acquiring a respiratory wave of the target to be measured based on the cardiac impact signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value; judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value; if the target to be measured is in the abnormal breathing state, judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude, and the change data of the frequency.

[0088] In a possible implementation, Figure 6 As shown, an embodiment of the present application provides a computer-readable storage medium 400, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, it implements: collecting a cardiac impact signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac impact signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value; judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value; if the target to be measured is in the abnormal breathing state, judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude, and the change data of the frequency.

[0089] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0090] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0091] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0092] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0093] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0094] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described above, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

[0095] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. An obstructive sleep apnea recognition device, characterized in that: The device comprises: a conversion module, for collecting a cardiac impact signal of a target to be measured, obtaining a respiratory wave of the target to be measured based on the cardiac impact signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value; A first identification module is used to determine whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold and the duration for which the waveform amplitude is less than the first threshold is greater than a second threshold; A second identification module is used to determine whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency if the target to be measured is in the abnormal breathing state; Wherein, the step of judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency includes: Determine whether the target to be measured is in a state of labored breathing based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency; If the target to be measured is in a labored breathing state, obtaining the start time of the labored breathing state; Determining the temporal relationship between the labored breathing state and the abnormal breathing state according to the starting time of the labored breathing state; Based on the time sequence relationship, it is determined whether the target to be detected is in an obstructive apnea state.

2. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the following are performed: Collecting a cardiac signal of a target to be measured, acquiring a respiratory wave of the target to be measured based on the cardiac signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value; Based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, judging whether the target to be measured is in an abnormal breathing state, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value; If the target to be measured is in the abnormal breathing state, judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency; Wherein, the step of judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency includes: Determine whether the target to be measured is in a state of labored breathing based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency; If the target to be measured is in a labored breathing state, obtaining the start time of the labored breathing state; Determining the temporal relationship between the labored breathing state and the abnormal breathing state according to the starting time of the labored breathing state; Based on the time sequence relationship, it is determined whether the target to be detected is in an obstructive apnea state.

3. The electronic device according to claim 2, characterized in that: The step of acquiring the respiratory wave of the target to be measured based on the heartbeat signal includes: The heartbeat signal is low-pass filtered to obtain the respiratory wave of the target to be measured.

4. The electronic device according to claim 2, characterized in that: The step of determining the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave comprises: The respiratory wave is subjected to a wave search and valley search operation to obtain the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave.

5. The electronic device according to claim 2, characterized in that: Before the step of judging whether the target to be detected is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, the method further includes: Selecting a first change value representing a decrease in the waveform amplitude from the change values ​​of the waveform amplitude; If the first change value is greater than a first preset value, it is determined that the target to be detected is in a first initial abnormal state.

6. The electronic device according to claim 5, characterized in that: The step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value comprises: Acquire a target waveform amplitude when the target to be measured is in a first initial abnormal state and a target duration corresponding to the target waveform amplitude; It is determined whether the target to be measured is in an abnormal breathing state based on the target waveform amplitude and the target duration.

7. The electronic device according to claim 2, characterized in that: The step of judging whether the target to be detected is in a labored breathing state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency comprises: Determining a second change value representing a rise in the waveform amplitude among the change values ​​of the waveform amplitude; If the second change value is less than a second preset value, it is determined that the target to be detected is in a second initial abnormal state; Acquire target peak amplitude and target change data of the frequency when the target to be measured is in a second initial abnormal state; It is determined whether the target to be measured is in a labored breathing state based on the target peak amplitude and the target change data.

8. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, which is executed by the processor when it is run: Collecting a cardiac signal of a target to be measured, acquiring a respiratory wave of the target to be measured based on the cardiac signal, and determining a waveform amplitude of the respiratory wave, change data of the waveform amplitude, a peak amplitude of the respiratory wave, and change data of the frequency of the respiratory wave, wherein the change data of the waveform amplitude includes a change value of the waveform amplitude and a duration for which the waveform amplitude maintains the same value; Based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, judging whether the target to be measured is in an abnormal breathing state, wherein the abnormal breathing state is that the waveform amplitude is less than a first threshold value and the duration for which the waveform amplitude is less than the first threshold value is greater than a second threshold value; If the target to be measured is in the abnormal breathing state, judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency; Wherein, the step of judging whether the target to be measured is in an obstructive apnea state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency includes: Determine whether the target to be measured is in a state of labored breathing based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency; If the target to be measured is in a labored breathing state, obtaining the start time of the labored breathing state; Determining the temporal relationship between the labored breathing state and the abnormal breathing state according to the starting time of the labored breathing state; Based on the time sequence relationship, it is determined whether the target to be detected is in an obstructive apnea state.

9. The computer-readable storage medium of claim 8, wherein: The step of acquiring the respiratory wave of the target to be measured based on the heartbeat signal includes: The heartbeat signal is low-pass filtered to obtain the respiratory wave of the target to be measured.

10. The computer-readable storage medium of claim 8, wherein: The step of determining the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave comprises: The respiratory wave is subjected to a wave search and valley search operation to obtain the change data of the peak amplitude of the respiratory wave and the frequency of the respiratory wave.

11. The computer-readable storage medium of claim 8, wherein: Before the step of judging whether the target to be detected is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value, the method further includes: Selecting a first change value representing a decrease in the waveform amplitude from the change values ​​of the waveform amplitude; If the first change value is greater than a first preset value, it is determined that the target to be detected is in a first initial abnormal state.

12. The computer-readable storage medium of claim 11, wherein: The step of judging whether the target to be measured is in an abnormal breathing state based on the waveform amplitude and the duration for which the waveform amplitude maintains the same value comprises: Acquire a target waveform amplitude when the target to be measured is in a first initial abnormal state and a target duration corresponding to the target waveform amplitude; It is determined whether the target to be measured is in an abnormal breathing state based on the target waveform amplitude and the target duration.

13. The computer-readable storage medium of claim 8, wherein: The step of judging whether the target to be detected is in a labored breathing state based on the change value of the waveform amplitude, the peak amplitude and the change data of the frequency comprises: Determining a second change value representing a rise in the waveform amplitude among the change values ​​of the waveform amplitude; If the second change value is less than a second preset value, it is determined that the target to be detected is in a second initial abnormal state; Acquire target peak amplitude and target change data of the frequency when the target to be measured is in a second initial abnormal state; It is determined whether the target to be measured is in a labored breathing state based on the target peak amplitude and the target change data.

Images