CN108720836B - Breathing abnormity alarm detection method and system - Google Patents
Breathing abnormity alarm detection method and system Download PDFInfo
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- CN108720836B CN108720836B CN201710249816.1A CN201710249816A CN108720836B CN 108720836 B CN108720836 B CN 108720836B CN 201710249816 A CN201710249816 A CN 201710249816A CN 108720836 B CN108720836 B CN 108720836B
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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
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The embodiment of the invention provides a breathing abnormity alarm detection method and system. The method comprises the following steps: acquiring a heart rate parameter, a breathing parameter and a body movement parameter of a monitored user; if the breathing abnormity of the monitored user is judged and obtained according to the breathing parameters, triggering a breathing pre-alarm; performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result; performing sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result; and if the monitored user is judged to be in the autonomous breath regulating state according to the first analysis result and the second analysis result, eliminating the pre-alarm of respiration. The system is used for executing the method. According to the embodiment of the invention, the breathing abnormity is judged according to the breathing parameters, and the breathing pre-alarm is triggered; and obtaining a first analysis result and a second analysis result according to the breathing parameter, the body movement parameter and the heart rate parameter, and eliminating the breathing pre-alarm if the monitored user is judged to be in the autonomous breath-conditioning state, thereby reducing the false alarm rate.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent detection, in particular to a breathing abnormity alarm detection method and system.
Background
One third of the time a person spends in sleeping, which is of great importance in assessing the daily life conditions of the person, such as working stress, fatigue and mental condition. In addition, since the elderly sometimes suffer from diseases during sleep, it is necessary to monitor vital signs of a user in bed.
Currently, there are several ways to monitor vital signs, such as: intelligent bracelet and intelligent mattress etc.. Wherein intelligent mattress is a no restraint formula vital sign monitoring facilities, and the wide application is in wisdom endowment market, provides safe service of caring for old user. When the user is on intelligent mattress, some vital sign parameters of human body can be detected to intelligent mattress, can judge whether unusual according to the vital sign parameter that detects.
The wisdom endowment market not only includes the endowment mechanism that various types of medical services combine, still relates to community care center and the market of keeping good for the old at home. In particular, the latter, potential elderly family users account for around 90% of the total elderly population. The intelligent mattress has the working principle that the mattress equipment collects weak vibration of a user and calculates a corresponding heart rate/respiration value, then data are uploaded to the cloud platform every 3 seconds, and parameters comprise heart rate, respiration, body movement, a state of leaving a bed and the like. The heart rate reference value range of normal people is 50-100 times/min, and the respiration reference value range is 10-30 times/min. The cloud platform monitors vital signs of the intelligent mattress user in real time, generates an alarm signal when the vital sign parameters deviate from the corresponding reference value range, and pushes the alarm signal to the user terminal. Currently, the system defines the following anomaly alert algorithm:
(1) abnormal heart rate alarm, namely continuously deviating the heart rate value from the normal range for more than 3 minutes to generate 1 abnormal heart rate alarm;
(2) abnormal respiration alarm, namely generating 1 abnormal respiration alarm when the respiration value continuously deviates from the normal range for more than 3 minutes;
as different users have respective health-preserving habits, the vital signs of the users are different no matter the users read books in bed, watch TV, sit or sleep. Particularly, in the case of spontaneous breathing, the respiration value is continuously lower than 10 times/min, and if a conventional alarm algorithm is adopted, 10 false alarms are triggered every half hour, so that the problem of high false alarm rate is caused.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a breathing abnormity alarm detection method and system.
The embodiment of the invention provides a breathing abnormity alarm detection method, which comprises the following steps:
obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters;
judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment;
performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result;
performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result;
and judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the respiratory pre-warning if judging that the monitored user is in the autonomous rest state.
The embodiment of the invention provides a breathing abnormity warning detection system, which comprises:
the acquisition module is used for acquiring the human body parameters of the monitored user, and the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters;
the pre-warning module is used for judging whether the monitored user breathes abnormally according to the breathing parameters, and triggering a breathing pre-warning if the monitored user breathes abnormally through judgment;
the first analysis module is used for carrying out sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result;
the second analysis module is used for performing sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result;
and the first judgment module is used for eliminating the breathing pre-warning if the monitored user is judged to be in the autonomous breath-conditioning state according to the first analysis result and the second analysis result.
According to the breathing abnormity alarm detection method and system provided by the embodiment of the invention, when breathing abnormity is judged and known according to breathing parameters, a breathing pre-alarm is triggered; then, sleep analysis is carried out according to the breathing parameters, the body movement parameters and the heart rate parameters to obtain a first analysis result and a second analysis result; if the monitored user is judged to be in the autonomous breath regulating state according to the first analysis result and the second analysis result, the pre-alarm of respiration is eliminated, and therefore the false alarm rate is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for detecting abnormal breathing alarm according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for detecting an abnormal breathing alarm according to another embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a respiratory anomaly alarm detection system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a respiratory anomaly alarm detection system according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an entity of a respiratory anomaly alarm detection system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flow chart of a method for detecting an abnormal breathing alarm according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101: obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters;
specifically, when being monitored by the user on intelligent mattress, intelligent mattress can detect the human body parameter who is monitored by the user through the multiple sensor that self carried, and wherein the human body parameter includes: the heart rate parameter, the respiration parameter, and the body movement parameter, it is understood that there may be other parameters, such as a body temperature parameter, and the like, which is not particularly limited in the embodiment of the present invention. It should be noted that, in addition to the intelligent mattress, devices capable of measuring the above parameters of the human body may be used, and the embodiment of the present invention is not particularly limited thereto.
Step 102: judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment;
specifically, under normal conditions, a person breathes 10-30 times in one minute, and when the system judges that the monitored user breathes abnormally according to the detected breathing parameters, a breathing pre-warning is triggered, wherein the breathing pre-warning is that when the monitored user has abnormal breathing parameters only, warning is needed, but only the pre-warning is triggered, and warning information is not sent out.
Step 103: performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result;
specifically, after the breathing pre-alarm is triggered, the system performs sleep analysis according to the acquired breathing parameters and body movement parameters, and obtains a first analysis result after the sleep analysis. Among them, there are various sleep analysis methods according to breathing parameters and body movement parameters, such as: if the obtained breathing parameter is continuously stable in breathing within a preset time period (that is, if the interval time of every two breaths is approximately the same, the breathing is continuously stable), the state of the monitored user is judged according to the variance of the waveform amplitude of the obtained body motion parameter. If the waveform amplitude mean square deviation/the waveform amplitude minimum value and the waveform amplitude mean square deviation/the waveform amplitude average value respectively show rising trends at the same time and respectively rise to a preset value or more, the monitored user is in an awake state; and when the waveform amplitude mean square error/the waveform amplitude minimum value and the waveform amplitude mean square error/the waveform amplitude average value respectively fall to another preset value or even below the other preset value, determining that the monitored user is in a deep sleep state. Similarly, according to the analysis method, each state of the monitored user can be analyzed.
If the obtained breathing parameters are continuously stable in breathing within a preset time period (that is, if the interval time between every two breaths is approximately the same, it indicates that the breathing is continuously stable), it may be further determined that the monitored user has several body movements within one preset time period, for example, if the monitored user moves 10 times (including 10 times) within five minutes, it indicates that the monitored user is in light sleep, if the body movement is less than 10 times and greater than or equal to 6 times, it indicates that the monitored user is in moderate sleep, and if the body movement is less than 6 times, it indicates that the monitored user is in deep sleep. It is understood that the above parameters may be adjusted according to actual situations, and the embodiment of the present invention is not limited thereto.
It should be noted that there are other analysis methods for sleep analysis based on breathing parameters and body movement parameters, and the embodiments of the present invention are not necessarily described.
Step 104: performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result;
specifically, the system carries out sleep analysis according to the acquired respiratory parameter, the body movement parameter and the heart rate parameter, and according to research and display, the heart rate waveform of a person in a sleep state is different from that in an autonomous rest state, and is stable in the sleep state, and has large fluctuation in the heart rate waveform in the autonomous rest state, so that the sleep analysis is carried out on a monitored user by combining the heart rate parameter on the basis of the respiratory parameter and the body movement parameter, and a second analysis result is obtained. Similarly, there are many methods of sleep analysis based on respiratory, body movement and heart rate parameters, such as: breathing of the respiratory parameters acquired by the respiratory parameters is continuously stable within five minutes, and the number of times of body movement according to the acquired body movement parameters is less than 6, if the heart rate waveform fluctuation formed by the heart rate parameters of the monitored user in the preset time period is detected to be large, the monitored user can be judged to be in a waking state. It should be noted that there are other analysis methods for sleep analysis based on breathing parameters and body movement parameters, and the embodiments of the present invention are not necessarily described.
Step 105: and judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the respiratory pre-warning if judging that the monitored user is in the autonomous rest state.
Specifically, whether the monitored user is in the autonomous rest state at present can be judged according to a first analysis result and a second analysis result obtained after sleep analysis, if the monitored user is judged to be in the autonomous rest state at present, a breathing pre-alarm triggered before is eliminated, and at the moment, alarm information cannot be sent out.
According to the embodiment of the invention, when the breathing abnormity is judged and known according to the breathing parameters, the breathing pre-warning is triggered; then, sleep analysis is carried out according to the breathing parameters, the body movement parameters and the heart rate parameters to obtain a first analysis result and a second analysis result; if the monitored user is judged to be in the autonomous breath regulating state according to the first analysis result and the second analysis result, the pre-alarm of respiration is eliminated, and therefore the false alarm rate is reduced.
On the basis of the above embodiment, the first analysis result includes: waking, light sleep, moderate sleep and deep sleep, the second analysis result comprising: the waking, the light sleep, the moderate sleep, and the deep sleep; accordingly;
the judging whether the monitored user is in an autonomous breath-conditioning state or not according to the first analysis result and the second analysis result comprises the following steps:
and if the first analysis result is moderate sleep or deep sleep and the second analysis result is clear-headed, judging that the monitored user is in an autonomous rest state, otherwise, monitoring the monitored user not to be in the autonomous rest state.
Specifically, a first analysis result obtained after sleep analysis is performed according to the breathing parameters and the body movement parameters includes four conditions of waking, light sleep, moderate sleep and deep sleep, a second analysis result obtained after sleep analysis is performed according to the breathing parameters, the body movement parameters and the heart rate parameters, and the second analysis result also includes four conditions of waking, light sleep, moderate sleep and deep sleep. If the first analysis result is moderate sleep or deep sleep and the second analysis result is awake, the monitored user can be in the autonomous rest state, otherwise, the monitored user is not in the autonomous rest state.
According to the embodiment of the invention, the first analysis result is moderate sleep or deep sleep, and the second analysis result is clear-headed, the monitored user is judged to be in the autonomous rest state, and the pre-alarm of respiration is eliminated at the moment, so that the false alarm rate is reduced.
On the basis of the above embodiment, the method further includes:
and if the monitored user is judged to be not in the autonomous rest state, sending out the breathing pre-alarm.
Specifically, if it is judged and known that the monitored user is not in the autonomous breath state according to the first analysis result and the second analysis result, it is indicated that the monitored user is likely to have abnormality, and at this time, a respiratory pre-alarm is started to perform alarm processing.
According to the embodiment of the invention, the monitored user is judged to be not in the autonomous breath-adjusting state according to the first analysis result and the second analysis result, and then the alarm is given, so that the personal safety of the monitored user is ensured while the false alarm rate is reduced.
On the basis of the foregoing embodiments, the determining, according to the breathing parameter, whether the monitored user is breathing abnormally includes:
and if the breathing value of the monitored user in the preset time period is judged and obtained to be not in the preset range, the breathing of the monitored user is abnormal.
Specifically, the respiratory parameter of the monitored user includes a respiratory value and a respiratory smoothness within a preset time period, the respiratory value is equal to the number of breaths within the preset time period, and if it is determined that the respiratory value of the monitored user within the preset time period is not within a preset range, for example: the preset range may be set to 5-35, and the preset time period may be set to 1 minute, that is, if the number of breaths of the monitored user in 1 minute is less than 5 times or greater than 35 times, it may be temporarily determined that the monitored user has a respiratory abnormality, and at this time, a respiratory pre-alarm is triggered. It should be noted that the preset range and the preset time period may be adjusted according to actual situations, and are not described herein again.
According to the embodiment of the invention, by detecting the breathing parameter of the monitored user, when the breathing parameter of the user is abnormal, the breathing pre-alarm is triggered, then whether the monitored user is in the autonomous breath state is judged according to the breathing parameter, the body movement parameter and the heart rate parameter, and if the monitored user is in the autonomous breath state is judged and known, the breathing pre-alarm is eliminated, so that the times of false alarm are reduced.
Fig. 2 is a schematic flow chart of a method for detecting an abnormal breathing alarm according to another embodiment of the present invention, as shown in fig. 2, the method includes:
step 201: acquiring human body parameters; acquiring human body parameters of a monitored user, wherein the human body parameters comprise: respiratory parameters, body motion parameters, and heart rate parameters;
step 202: a breath pre-warning; triggering a breath pre-alarm when judging and knowing that the breath value of the monitored user in a preset time period is smaller than a first threshold value according to the breath parameters;
step 203: sleep analysis (breathing, body movement); performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result which is deep sleep;
step 204: sleep analysis (breathing, body movement and heart rate); performing sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter, wherein a second analysis result obtained after analysis is clear-headed;
step 205: comparing; comparing the first analysis result with the second analysis result, and obtaining a result that the monitored user is in an autonomous breath-conditioning state;
step 206: eliminating pre-alarm; and after the monitored user is judged to be in the self-help breath-conditioning state, eliminating the pre-warning.
According to the embodiment of the invention, by detecting the breathing parameter of the monitored user, when the breathing parameter of the user is abnormal, the breathing pre-alarm is triggered, then whether the monitored user is in the autonomous breath state is judged according to the breathing parameter, the body movement parameter and the heart rate parameter, and if the monitored user is in the autonomous breath state is judged and known, the breathing pre-alarm is eliminated, so that the times of false alarm are reduced.
Fig. 3 is a schematic structural diagram of a respiratory anomaly alarm detection system according to an embodiment of the present invention, and as shown in fig. 3, the system includes: an obtaining module 301, a warning module 302, a first analyzing module 303, a second analyzing module 304 and a first judging module 305, wherein:
the obtaining module 301 is configured to obtain a human body parameter of a monitored user, where the human body parameter includes: heart rate parameters, respiratory parameters, and body motion parameters; the pre-alarm module 302 is configured to determine whether the monitored user is abnormal in breathing according to the breathing parameter, and trigger a breathing pre-alarm if the monitored user is determined to be abnormal in breathing; the first analysis module 303 is configured to perform sleep analysis according to the breathing parameter and the body movement parameter to obtain a first analysis result; the second analysis module 304 is configured to perform the sleep analysis according to the breathing parameter, the body movement parameter, and the heart rate parameter, so as to obtain a second analysis result; the first determining module 305 is configured to, according to the first analysis result and the second analysis result, eliminate the pre-alarm if it is determined that the monitored user is in an autonomous breath-conditioning state.
Specifically, when being monitored by the user on intelligent mattress, intelligent mattress can detect the human body parameter who is monitored by the user through the multiple sensor that self carried, acquires this human body parameter from intelligent mattress by acquisition module 301, and wherein human body parameter includes: the heart rate parameter, the respiration parameter, and the body movement parameter, it is understood that there may be other parameters, such as a body temperature parameter, and the like, which is not particularly limited in the embodiment of the present invention. Under normal conditions, a person can breathe 10-30 times in one minute, and when the pre-alarm module 302 judges that the monitored user breathes abnormally according to the detected breathing parameters, a pre-alarm for breathing is triggered, wherein the pre-alarm for breathing is that when the monitored user is abnormal and needs to alarm only aiming at the breathing parameters, the pre-alarm is triggered only, and alarm information is not sent out. When the breathing pre-alarm is triggered, the first analysis module 303 performs sleep analysis according to the acquired breathing parameters and body movement parameters, and obtains a first analysis result after the sleep analysis. The second analysis module 304 performs sleep analysis according to the acquired respiratory parameters, body movement parameters and heart rate parameters, and displays according to research that the heart rate waveforms of the person in the sleep state are different from those in the autonomous rest state, and the heart rate waveforms are stable in the sleep state and have large fluctuation in the autonomous rest state, so that the sleep analysis is performed on the monitored user by combining the heart rate parameters on the basis of the respiratory parameters and the body movement parameters, and a second analysis result is obtained. The first determining module 305 may determine whether the monitored user is currently in the autonomous rest state according to the first analysis result and the second analysis result obtained after the sleep analysis, and if it is determined that the monitored user is currently in the autonomous rest state, the pre-respiratory warning triggered before is eliminated, and at this time, no warning information is sent.
The embodiment of the system provided by the present invention may be specifically configured to execute the processing flows of the above method embodiments, and the functions of the system are not described herein again, and refer to the detailed description of the above method embodiments.
According to the embodiment of the invention, when the breathing abnormity is judged and known according to the breathing parameters, the breathing pre-warning is triggered; then, sleep analysis is carried out according to the breathing parameters, the body movement parameters and the heart rate parameters to obtain a first analysis result and a second analysis result; if the monitored user is judged to be in the autonomous breath regulating state according to the first analysis result and the second analysis result, the pre-alarm of respiration is eliminated, and therefore the false alarm rate is reduced.
On the basis of the above embodiment, the first analysis result includes: waking, light sleep, moderate sleep and deep sleep, the second analysis result comprising: the waking, the light sleep, the moderate sleep, and the deep sleep; accordingly;
the first judging module is specifically configured to:
and if the first analysis result is moderate sleep or deep sleep and the second analysis result is clear-headed, judging that the monitored user is in an autonomous rest state, and eliminating the breathing advance warning.
Specifically, the first analysis module 303 performs sleep analysis according to the breathing parameter and the body movement parameter to obtain a first analysis result, where the first analysis result includes waking, light sleep, moderate sleep, and deep sleep. Similarly, the second analysis module 304 performs a second analysis result after performing sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter, and the second analysis result also includes waking, light sleep, moderate sleep and deep sleep. If the first analysis result is moderate sleep or deep sleep, and the second analysis result is awake, the first determining module 305 may determine that the monitored user is in the autonomous rest state, otherwise, the monitored user is not in the autonomous rest state.
According to the embodiment of the invention, the first analysis result is moderate sleep or deep sleep, and the second analysis result is clear-headed, the monitored user is judged to be in the autonomous rest state, and the pre-alarm of respiration is eliminated at the moment, so that the false alarm rate is reduced.
On the basis of the foregoing embodiment, fig. 4 is a schematic structural diagram of a respiratory anomaly alarm detection system according to another embodiment of the present invention, as shown in fig. 4, the system includes: an obtaining module 301, a warning module 302, a first analyzing module 303, a second analyzing module 304, a first judging module 305 and a second judging module 306, wherein:
the second determining module 306 is configured to send the pre-respiration alarm if it is determined that the monitored user is not in the autonomous respiration state.
Specifically, the obtaining module 301, the warning module 302, the first analyzing module 303, the second analyzing module 304, and the first determining module 305 are consistent with the above embodiments, and are not described herein again. If the second judging module 306 judges that the monitored user is not in the autonomous breath state according to the first analysis result and the second analysis result, it indicates that the monitored user is likely to have abnormality, and at this time, a breath pre-alarm is started to perform alarm processing.
According to the embodiment of the invention, the monitored user is judged to be not in the autonomous breath-adjusting state according to the first analysis result and the second analysis result, and then the alarm is given, so that the personal safety of the monitored user is ensured while the false alarm rate is reduced.
On the basis of the foregoing embodiments, the advance warning module is specifically configured to:
and if the breathing value of the monitored user in the preset time period is judged and obtained to be not in the preset range, the breathing of the monitored user is abnormal.
Specifically, the respiratory parameters of the monitored user include a respiratory value and a respiratory smoothness within a preset time period, the respiratory value is equal to the number of breaths within the preset time period, and the pre-warning module may temporarily consider that the monitored user has respiratory abnormality if it is determined that the respiratory value of the monitored user within the preset time period is not within a preset range, and at this time, trigger a respiratory pre-warning. It should be noted that the preset range and the preset time period may be adjusted according to actual situations, and are not described herein again.
According to the embodiment of the invention, by detecting the breathing parameter of the monitored user, when the breathing parameter of the user is abnormal, the breathing pre-alarm is triggered, then whether the monitored user is in the autonomous breath state is judged according to the breathing parameter, the body movement parameter and the heart rate parameter, and if the monitored user is in the autonomous breath state is judged and known, the breathing pre-alarm is eliminated, so that the times of false alarm are reduced.
Fig. 5 is a schematic structural diagram of an entity of a respiratory anomaly alarm detection system according to an embodiment of the present invention, and as shown in fig. 5, the system includes: a processor (processor)501, a memory (memory)502, and a bus 503; wherein the content of the first and second substances,
the processor 501 and the memory 502 are communicated with each other through the bus 503;
the processor 501 is configured to call program instructions in the memory 502 to perform the methods provided by the above-mentioned method embodiments, for example, including: obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters; judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment; performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result; performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result; and judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the respiratory pre-warning if judging that the monitored user is in the autonomous rest state.
The present embodiment discloses a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method provided by the above-mentioned method embodiments, for example, comprising: obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters; judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment; performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result; performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result; and judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the respiratory pre-warning if judging that the monitored user is in the autonomous rest state.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the above method embodiments, for example, including: obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters; judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment; performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result; performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result; and judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the respiratory pre-warning if judging that the monitored user is in the autonomous rest state.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-described embodiments of the system and the like are merely illustrative, and 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (5)
1. A breathing abnormality alarm detection method is characterized by comprising the following steps:
obtaining human body parameters of a monitored user, wherein the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters;
judging whether the monitored user breathes abnormally or not according to the breathing parameters, and triggering a breathing pre-alarm if the monitored user breathes abnormally through judgment;
performing sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result;
performing the sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result;
judging whether the monitored user is in an autonomous rest state or not according to the first analysis result and the second analysis result, and eliminating the breathing pre-warning if the monitored user is judged to be in the autonomous rest state;
wherein the first analysis result comprises: waking, light sleep, moderate sleep and deep sleep, the second analysis result comprising: the waking, the light sleep, the moderate sleep, and the deep sleep;
the judging whether the monitored user is in an autonomous breath-conditioning state or not according to the first analysis result and the second analysis result comprises the following steps:
if the first analysis result is moderate sleep or deep sleep and the second analysis result is clear-headed, the monitored user is judged to be in an autonomous rest state, otherwise, the monitored user is not in the autonomous rest state.
2. The method of claim 1, further comprising:
and if the monitored user is judged to be not in the autonomous rest state, sending out the breathing pre-alarm.
3. The method according to any one of claims 1-2, wherein said determining whether the monitored user is breathing abnormally based on the breathing parameter comprises:
and if the breathing value of the monitored user in the preset time period is judged and obtained to be not in the preset range, the breathing of the monitored user is abnormal.
4. A respiratory abnormality alarm detection system, comprising:
the acquisition module is used for acquiring the human body parameters of the monitored user, and the human body parameters comprise: heart rate parameters, respiratory parameters, and body motion parameters;
the pre-warning module is used for judging whether the monitored user breathes abnormally according to the breathing parameters, and triggering a breathing pre-warning if the monitored user breathes abnormally through judgment;
the first analysis module is used for carrying out sleep analysis according to the breathing parameters and the body movement parameters to obtain a first analysis result;
the second analysis module is used for performing sleep analysis according to the breathing parameter, the body movement parameter and the heart rate parameter to obtain a second analysis result;
the first judgment module is used for eliminating the breathing pre-warning if the monitored user is judged to be in an autonomous breath-conditioning state according to the first analysis result and the second analysis result;
wherein the first analysis result comprises: waking, light sleep, moderate sleep and deep sleep, the second analysis result comprising: the waking, the light sleep, the moderate sleep, and the deep sleep;
the first judging module is further configured to:
if the first analysis result is moderate sleep or deep sleep and the second analysis result is clear-headed, judging that the monitored user is in an autonomous rest state, and eliminating the breathing advance warning;
the system further comprises:
and the second judgment module is used for sending the breathing pre-alarm if the monitored user is judged to be not in the autonomous breath-conditioning state.
5. The system of claim 4, wherein the pre-warning module is specifically configured to:
and if the breathing value of the monitored user in the preset time period is judged and obtained to be not in the preset range, the breathing of the monitored user is abnormal.
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