CN106725337B - Snore detection method and device and positive pressure breathing machine - Google Patents
Snore detection method and device and positive pressure breathing machine Download PDFInfo
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- CN106725337B CN106725337B CN201710008075.8A CN201710008075A CN106725337B CN 106725337 B CN106725337 B CN 106725337B CN 201710008075 A CN201710008075 A CN 201710008075A CN 106725337 B CN106725337 B CN 106725337B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2230/00—Measuring parameters of the user
- A61M2230/40—Respiratory characteristics
Abstract
The invention discloses a snore detecting method, a snore detecting device and a positive pressure breathing machine. The snore detecting method comprises the following steps: acquiring a high-frequency signal corresponding to the snore event range in a respiratory signal of the current respiratory process; converting the high-frequency signal into a low-frequency signal; judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time; if yes, determining that the snore event occurs in the current breathing process. The snore detecting scheme of the invention converts the high-frequency signal into the low-frequency signal which changes relatively slowly, can reduce the influence of noise on snore identification, and improves the accuracy of the snore identification.
Description
Technical Field
The invention relates to a respirator technology, in particular to a snore detecting method, a snore detecting device and a positive pressure respirator.
Background
Snoring is a ubiquitous sleep disorder. Mild snoring does not greatly affect the health of the human body, but part of patients with snoring have breath holding phenomena of different degrees during sleeping, namely the snoring accompanied with sleep apnea, which can cause oxygen deficiency of different degrees and damage the health of the patients.
Snoring occurs due to poor airflow due to a narrowed or slightly obstructed airway. The treatment of snoring or sleep apnea syndrome using a noninvasive positive Airway Pressure (cpap) is a common procedure. In the treatment process, snore data (mainly the number of times of snore occurrence) is an important basis for judging the treatment effect. When using an automatic pressure regulating ventilator, snore data is also one of the main conditions for implementing an automatic pressure regulating strategy. Therefore, it becomes important to accurately judge the snoring.
At present, the snore detecting method mainly comprises the steps of carrying out high-pass filtering on respiratory signals after the respiratory signals are collected to extract high-frequency oscillation signals. And judging the amplitude of each oscillation of the high-frequency oscillation signal, and when the amplitude is greater than a certain threshold value, considering that the oscillation is possibly caused by snore, and scoring the oscillation. In each breathing process, the high-frequency oscillation signals are continuously judged, scores are accumulated, and when the accumulated sum of the scores exceeds a certain degree, the snore event in the breathing is judged.
However, since most of the environmental noise is high frequency signals, the environmental noise cannot be eliminated after the high pass filtering, and is still mixed in the oscillation signal. The existing scheme calculates the vibration of each time independently, the noise cannot be identified, and the noise can be calculated during calculation, so that the false identification of snore can be caused. In addition, the existing scheme scores and accumulates the oscillation amplitude which meets the condition every time, thereby increasing the calculation amount and complexity of the device.
Disclosure of Invention
In view of the above, the present invention provides a snore detecting scheme to reduce the influence of noise signals on snore recognition.
According to a first aspect of the present invention, there is provided a snore detecting method, comprising the steps of:
acquiring a high-frequency signal corresponding to the snore event range in a respiratory signal of the current respiratory process;
converting the high-frequency signal into a low-frequency signal;
judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time;
if yes, determining that the snore event occurs in the current breathing process.
Optionally, the start of the low frequency signal and the start of the high frequency signal coincide, and the maximum value of the low frequency signal is the same as the maximum amplitude of the high frequency signal.
Optionally, the waveform of the low-frequency signal is an envelope of the high-frequency signal.
Optionally, the step of converting the high frequency signal into a low frequency signal includes:
converting the high frequency signal into a low frequency signal by a formula, the formula being:
wherein S is obtained by sampling the high-frequency signalC is a low frequency signal, S1、SiRespectively the 1 st and ith sample point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
Optionally, the step of converting the high frequency signal into a low frequency signal further comprises: at Si≤Ci-1And Si-1≤Ci-2The conversion factor k is increased by a value when this occurs.
Optionally, before the step of acquiring a high frequency signal, the method further comprises: and carrying out high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range.
Optionally, the respiratory signal comprises a sound signal, an airflow signal or an air pressure signal.
According to a second aspect of the present invention, there is provided a snore detecting device, comprising:
the signal conversion unit is used for acquiring a high-frequency signal corresponding to the snore event range in the respiratory signal of the current respiratory process and converting the high-frequency signal into a low-frequency signal;
and the snore event judging unit is used for judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time, and if so, determining that the snore event occurs in the current breathing process.
Optionally, the signal conversion unit is configured to convert the high-frequency signal into a low-frequency signal according to a formula:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively being the 1 st sampling point signal and the ith sampling point signal，C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
Optionally, the snore detecting system further comprises a conversion factor adjusting unit;
the conversion factor adjusting unit is used for adjusting the conversion factor at Si≤Ci-1And Si-1≤Ci-2The conversion factor k is increased by a value when this occurs.
Optionally, the snore detecting system further comprises a high-pass filtering unit;
and the high-pass filtering unit is used for carrying out high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range.
According to a third aspect of the present invention, there is provided a positive pressure ventilator comprising a snore detecting device according to any one of claims 8-13 and a pressure control device;
the pressure control device is used for increasing the treatment pressure of the positive pressure respirator if snore happens in the continuous breathing process for a plurality of times.
The snore detecting scheme of the invention converts a high-frequency signal into a low-frequency signal which changes relatively slowly to perform snore identification, and because the noise signal is usually isolated randomly and has very short amplitude and duration, the noise signal can be effectively eliminated after conversion, the snore detecting scheme of the invention can reduce the influence of the noise signal on an effective signal and improve the accuracy of the snore identification. Optionally, in the snore detecting scheme of the invention, whether the snore event occurs is judged by detecting whether the low-frequency signal is greater than the preset threshold value within the preset time, and compared with a mode of judging whether the snore event occurs by accumulating and integrating the high-frequency signal, the overall calculated amount and complexity of the system are reduced.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort.
Fig. 1 shows a flow chart of a snore detecting method according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a high frequency signal and a low frequency signal provided by an embodiment of the invention;
FIG. 3 is a flow chart of a snore detecting method according to another embodiment of the invention;
fig. 4 shows a block diagram of a snore detecting device provided by an embodiment of the invention;
fig. 5 shows a block diagram of a snore detecting device according to another embodiment of the invention;
fig. 6 shows a block diagram of a snore detecting device according to another embodiment of the invention;
FIG. 7 illustrates a block diagram of a positive pressure ventilator provided by an embodiment of the present invention;
fig. 8 is a block diagram showing a hardware configuration of a positive pressure ventilator provided by an embodiment of the present invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Referring to fig. 1, the snore detecting method provided by the embodiment of the invention includes the following steps:
101. and acquiring a high-frequency signal corresponding to the snore event range in the respiratory signal of the current respiratory process.
In the field of sleep monitoring, snoring is embodied as a high-frequency oscillation signal, and a person skilled in the art can set a high-frequency band corresponding to a snoring event range by himself and obtain a high-frequency signal corresponding to the snoring event range from a respiratory signal. This is well known in the art and the present invention will not be described in detail.
In one embodiment, before the high frequency signal is acquired in step 101, the high frequency signal corresponding to the snore event range is obtained by performing high-pass filtering on the respiratory signal. A respiratory signal, which may be a sound signal, an airflow signal, or an air pressure signal, may be continuously detected at the outlet of the ventilator.
102. And converting the high-frequency signal into a low-frequency signal.
In one embodiment, the starting point of the low frequency signal is consistent with the starting point of the high frequency signal, and the maximum value of the low frequency signal is the same as the maximum amplitude of the high frequency signal, that is, the slowly changing low frequency signal is consistent with the high frequency signal in time and the maximum value, which is beneficial for a person skilled in the art to set a threshold value required for snore judgment.
In one embodiment, the waveform of the low frequency signal is an envelope of the high frequency signal, that is, the low frequency signal reflects the amplitude variation of the high frequency signal, and the low frequency signal can be compared with a threshold value to determine whether a snore event occurs.
In one embodiment, the high frequency signal may be converted to a low frequency signal according to the following equation:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively the 1 st and ith sample point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
That is, if the current sampling point signal is greater than the low frequency signal converted from the previous sampling point signal, the low frequency signal converted from the current sampling point signal will follow the current sampling point signal, otherwise, the low frequency signal converted from the current sampling point signal is equal to the low frequency signal converted from the previous sampling point signal minus the conversion factor k.
Referring to fig. 2, a is a high-frequency signal, C is a low-frequency signal, and a suitable conversion factor k is selected, so that for the first half of the oscillating-type rising high-frequency signal, the case where the sampling point signal is greater than the low-frequency signal converted by the sampling point signal above the sampling point signal and the case where the sampling point signal is less than or equal to the low-frequency signal converted by the sampling point signal above the sampling point signal appear alternately, and after conversion, a whole step rising and a low-frequency signal with only slight decline appearing between adjacent steps. For the second half high-frequency signal of the oscillation type descending, when the high-frequency signal descends each time, the sampling point signal is less than or equal to the low-frequency signal converted from the previous sampling point signal, and the conversion factor k is subtracted from the low-frequency signal and is smaller than the descending degree of the high-frequency signal; when the high-frequency signal rises every time, because the rising amplitude is shrinking and the descending degree of the low-frequency signal converted by the last sampling point signal is small, the sampling point signal is still the low-frequency signal converted by the last sampling point signal, and the low-frequency signal continuously subtracts a conversion factor k; that is, for the second half high frequency signal of the oscillatory drop, the low frequency signal appears to be slowly dropped. By this way, the high frequency signal of the high frequency oscillation can be converted into a low frequency signal C which changes relatively slowly, and the low frequency signal C is similar to the envelope of the high frequency signal a. Fig. 2 is merely illustrative and not limiting of the high frequency signals and low frequency signals of the present invention.
In one embodiment, the conversion factor k is an empirical constant.
In another embodiment, the conversion factor k is variable, and is increased when the sampling point signal is less than or equal to the low-frequency signal converted from the signal of the last sampling point continuously appears during one breath. For example, when the sampling point signal is equal to or less than the low frequency signal converted from the previous sampling point signal, the conversion factor k may be successively incremented. In one embodiment, S occurs at each occurrencei≤Ci-1And Si-1≤Ci-2In the case of (2), the conversion factor k is increased by one value. Under the condition that the high-frequency signal is continuously attenuated, the low-frequency signal also can accelerate the attenuation speed, and the low-frequency signal generated in the mode is more beneficial to judging whether the snore event occurs in the step 103, so that the misjudgment can be reduced.
103. Judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time; and if the value of the low-frequency signal is greater than a preset threshold value within a preset time, determining that the snore event occurs in the current breathing process.
For example, the preset time is 1.2 seconds, and the preset threshold is 4.5CMH2Water column, if the low frequency signal is greater than 4.5CMH for 1.2 seconds or more during the current breath2And O, judging that the snore event occurs in the current breathing process.
If the snoring occurs in the continuous breathing process for a plurality of times, the current treatment pressure of the positive pressure respirator is lower, and the treatment pressure of the positive pressure respirator needs to be properly increased to prevent the apnea of the user.
Referring to fig. 3, a snore detecting method provided by the present invention is illustrated in a specific embodiment, which includes the following steps:
at the start of detection, step 201, the conversion factor k is set to an initial value a.
And step 203, judging whether the current sampling point signal is larger than the low-frequency signal converted from the last sampling point signal, if so, executing step 204, otherwise, executing step 206.
And step 208, judging whether the breathing process is finished or not, if so, executing step 209, otherwise, returning to step 203.
And 209, judging whether the respiration meets a snore condition, wherein the snore condition is that the value of the low-frequency signal is greater than a preset threshold value within a preset time, if so, judging that a snore event occurs in the respiration, otherwise, judging that no snore occurs in the respiration.
In this embodiment, when the case where the sampling point signal is equal to or less than the low frequency signal converted from the previous sampling point signal occurs continuously, the conversion factor k is gradually increased. Therefore, in the case that the high frequency signal is attenuated continuously, the low frequency signal is also attenuated more rapidly, and the low frequency signal generated in this way is more beneficial to determining the snore event in step 209, so that the misjudgment can be reduced.
The snore detecting method converts the high-frequency signal into the low-frequency signal which changes relatively slowly to perform snore identification, and because the noise signal is usually isolated randomly and has very short amplitude and duration, the noise signal can be effectively eliminated after conversion, the snore detecting scheme of the invention can reduce the influence of the noise signal on the effective signal and improve the accuracy of the snore identification. Optionally, the snore detecting method of the present invention determines whether the snore event occurs by detecting whether the low frequency signal is greater than a preset threshold within a preset time, and reduces the overall amount of calculation and complexity of the system compared with a method of determining whether the snore event occurs by performing cumulative integration on the high frequency signal.
It is obvious to those skilled in the art that the foregoing snore detecting method can be implemented by hardware, software, or a combination of hardware and software. Based on the same inventive concept, the snore detecting device provided by the three embodiments of the present invention is described with reference to fig. 4-6 to implement the snore detecting scheme.
Referring to fig. 4, the snoring detection apparatus 10 includes a signal conversion unit 11 and a snoring event determination unit 12.
And the signal conversion unit 11 is configured to acquire a high-frequency signal corresponding to the snore event range in the respiratory signal of the current respiratory process, and convert the high-frequency signal into a low-frequency signal. The respiratory signal may be an acoustic signal, an airflow signal, or an air pressure signal.
The snore event judging unit 12 is configured to judge whether a value of the low-frequency signal is greater than a preset threshold within a preset time, and if so, determine that a snore event occurs in a current breathing process.
In one embodiment, the low frequency signal converted by the signal conversion unit 11 has a starting point corresponding to the starting point of the high frequency signal, and a maximum value corresponding to the maximum amplitude of the high frequency signal, that is, the low frequency signal with slow variation is consistent with the high frequency signal in terms of time and maximum value, which is beneficial for the skilled person to set the threshold value required for determining snoring.
In one embodiment, the waveform of the low-frequency signal converted by the signal conversion unit 11 is an envelope of the high-frequency signal, that is, the low-frequency signal reflects the amplitude change of the high-frequency signal, and the snore event determining unit 12 may compare the low-frequency signal with a threshold to determine whether the snore event occurs.
Referring to fig. 5, the snoring detection apparatus 20 includes a high-pass filtering unit 21, a signal conversion unit 22, and a snoring event determination unit 23.
And the high-pass filtering unit 21 is configured to perform high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range. The respiratory signal may be an acoustic signal, an airflow signal, or an air pressure signal.
A signal conversion unit 22 for converting the high frequency signal into a low frequency signal according to the following formula:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively the 1 st and ith sample point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
By the above conversion, the high frequency signal of the high frequency oscillation is converted into the low frequency signal which changes relatively slowly.
The snore event judging unit 23 is configured to judge whether a value of the low-frequency signal is greater than a preset threshold within a preset time, and if so, determine that a snore event occurs in a current breathing process.
Referring to fig. 6, the snoring detection apparatus 30 includes a high-pass filtering unit 31, a signal conversion unit 32, a snoring event determination unit 33, and a conversion factor adjustment unit 34.
And the high-pass filtering unit 31 is configured to perform high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range. The respiratory signal may be an acoustic signal, an airflow signal, or an air pressure signal.
A signal conversion unit 32 for converting the high frequency signal into a low frequency signal according to the following formula:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively the 1 st and ith sample point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
A conversion factor adjustment unit 34 for adjusting the conversion factor at Si≤Ci-1And Si-1≤Ci-2The conversion factor k is increased by a value when this occurs.
By the above conversion, the high frequency signal of the high frequency oscillation is converted into the low frequency signal which changes relatively slowly.
The snore event judging unit 33 is configured to judge whether the value of the low-frequency signal is greater than a preset threshold within a preset time, and if so, determine that a snore event occurs in a current breathing process. .
In the embodiment, when the condition that the sampling point signal is less than or equal to the low-frequency signal converted by the previous sampling point signal continuously appears, the conversion factor k is increased, and the low-frequency signal is ensured to accelerate the attenuation speed under the condition that the high-frequency signal is continuously attenuated.
The snore detecting device converts a high-frequency signal into a low-frequency signal which changes relatively slowly to perform snore identification, and because a noise signal is usually isolated randomly and has short amplitude and duration, the noise signal can be effectively eliminated after conversion, the snore detecting scheme can reduce the influence of the noise signal on an effective signal and improve the accuracy of the snore identification. Optionally, the snore detecting device of the present invention determines whether a snore event occurs by detecting whether the low frequency signal is greater than a preset threshold within a preset time, and reduces the overall amount of computation and complexity of the system compared to a method of determining whether a snore event occurs by performing integration on the high frequency signal.
The snore detecting device provided by the embodiment of the invention has the same implementation principle and technical effect as the method embodiment, and for brief description, corresponding contents in the method embodiment can be referred to where no part of the device embodiment is mentioned.
Referring to fig. 7, a positive pressure ventilator 400 according to an embodiment of the present invention includes a snore detecting device 100 and a pressure control device 200.
The snore detecting device 100 is used for detecting whether a snore event occurs in a breathing process. The snoring detection apparatus 100 can utilize any one of the aforementioned snoring detection apparatuses.
And the pressure control device 200 is used for increasing the treatment pressure of the positive pressure respirator if snore happens in the continuous breathing process for a plurality of times.
The snore detection device 400 can accurately judge the snore event, so that the treatment effect of the positive pressure breathing machine is improved.
Fig. 8 is a block diagram showing a hardware configuration of a positive pressure ventilator according to another embodiment of the present invention. The positive pressure ventilator 300 includes a processor 3010, a memory 3020, an interface device 3030, a communication device 3040, a display device 3050, an input device 3060, a speaker 3070, and a microphone 3080.
The memory 3020 is configured to store instructions for controlling the processor 3010 to perform corresponding operations to implement any of the snore detecting methods described above.
The processor 3010 may be, for example, a central processing unit CPU, a microprocessor MCU, or the like. The memory 3020 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 3030 includes, for example, a USB interface, a headphone interface, and the like. The communication device 3040 can perform wired or wireless communication, for example. The display device 3050 is, for example, a liquid crystal display panel, a touch panel, or the like. The input device 3060 may include, for example, a touch screen, a keyboard, and the like. A user can input/output voice information through the speaker 3070 and the microphone 3080.
The positive pressure ventilator shown in fig. 8 is illustrative only and is not intended to limit the present invention, its application or uses in any way. It will be appreciated by those skilled in the art that although a plurality of devices are shown in fig. 8, the present invention may relate to only some of the devices therein. Those skilled in the art can design instructions according to the disclosed aspects, and how the instructions control the operation of the processor is well known in the art, and therefore, will not be described in detail herein.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. It will be apparent to those skilled in the art that the above embodiments may be used alone or in combination with each other as desired. In addition, for the device embodiment, since it corresponds to the method embodiment, the description is relatively simple, and for relevant points, refer to the description of the corresponding parts of the method embodiment. The system embodiments described above are merely illustrative, in that modules illustrated as separate components may or may not be physically separate.
In addition, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer program product provided in the embodiment of the present invention includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, which is not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Claims (10)
1. A snore detecting method is characterized by comprising the following steps:
acquiring a high-frequency signal corresponding to the snore event range in a respiratory signal of the current respiratory process;
converting the high-frequency signal into a low-frequency signal; the starting point of the low-frequency signal is consistent with the starting point of the high-frequency signal, the maximum value of the low-frequency signal is the same as the maximum amplitude of the high-frequency signal, and the waveform of the low-frequency signal is an envelope curve of the high-frequency signal;
judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time;
if yes, determining that the snore event occurs in the current breathing process.
2. The method of claim 1, wherein the step of converting the high frequency signal to a low frequency signal comprises:
converting the high frequency signal into a low frequency signal by a formula, the formula being:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively being the 1 st sampling point signal and the second sampling point signali number of sampling point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
3. The method of claim 2, wherein the step of converting the high frequency signal to a low frequency signal further comprises: at Si≤Ci-1And Si-1≤Ci-2The conversion factor k is increased by a value when this occurs.
4. The method of claim 1, wherein prior to the step of acquiring a high frequency signal, the method further comprises: and carrying out high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range.
5. The snore detecting method of claim 1, wherein the respiratory signal comprises a sound signal, an airflow signal, or a pneumatic pressure signal.
6. A snore detecting device is characterized by comprising the following units:
the snore event processing device comprises a signal conversion unit, a processing unit and a processing unit, wherein the signal conversion unit is used for acquiring a high-frequency signal corresponding to a snore event range in a respiratory signal of a current respiratory process, and converting the high-frequency signal into a low-frequency signal, the starting point of the low-frequency signal is consistent with the starting point of the high-frequency signal, the maximum value of the low-frequency signal is the same as the maximum amplitude of the high-frequency signal, and the waveform of the low-frequency signal is an envelope curve of the;
and the snore event judging unit is used for judging whether the value of the low-frequency signal is greater than a preset threshold value within a preset time, and if so, determining that the snore event occurs in the current breathing process.
7. The apparatus of claim 6, wherein the signal conversion unit is configured to convert the high frequency signal into a low frequency signal according to a formula:
wherein S is a sampling point signal obtained by sampling the high-frequency signal, C is a low-frequency signal, and S is1、SiRespectively the 1 st and ith sample point signals, C1、Ci、Ci-1Respectively obtaining low-frequency signals obtained by converting the 1 st sampling point signal, the ith sampling point signal and the (i-1) th sampling point signal; k is the conversion factor.
8. The apparatus of claim 7, wherein the snore detecting system further comprises a conversion factor adjusting unit;
the conversion factor adjusting unit is used for adjusting the conversion factor at Si≤Ci-1And Si-1≤Ci-2The conversion factor k is increased by a value when this occurs.
9. The apparatus of claim 6, wherein the snore detecting system further comprises a high pass filtering unit;
and the high-pass filtering unit is used for carrying out high-pass filtering processing on the respiratory signal to obtain the high-frequency signal corresponding to the snore event range.
10. A positive pressure ventilator comprising the snore detecting device and the pressure control device of any one of claims 6-9;
the pressure control device is used for increasing the treatment pressure of the positive pressure respirator if snore happens in the continuous breathing process for a plurality of times.
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| CN111866687A (en) * | 2020-06-10 | 2020-10-30 | 苏州海卡缔听力技术有限公司 | Hearing aid system with biological identification function and identification method thereof |
| CN111933181B (en) * | 2020-07-10 | 2022-05-17 | 北京理工大学 | Snore feature extraction and detection method and device based on complex order derivative processing |
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| JP6535186B2 (en) * | 2015-03-05 | 2019-06-26 | 旭化成株式会社 | Apparatus for determining respiratory condition, method of operating device, and program |
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