CN112870504B - Respiratory therapy method and device, breathing machine and server - Google Patents
Respiratory therapy method and device, breathing machine and server Download PDFInfo
- Publication number
- CN112870504B CN112870504B CN201911205385.4A CN201911205385A CN112870504B CN 112870504 B CN112870504 B CN 112870504B CN 201911205385 A CN201911205385 A CN 201911205385A CN 112870504 B CN112870504 B CN 112870504B
- Authority
- CN
- China
- Prior art keywords
- treatment
- target information
- instruction
- user
- current target
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Emergency Medicine (AREA)
- Pulmonology (AREA)
- Engineering & Computer Science (AREA)
- Anesthesiology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Hematology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Percussion Or Vibration Massage (AREA)
Abstract
The application relates to the field of respirators, in particular to a respiratory therapy method and device, a respirator and a server. The respiratory therapy method is applied to a respirator, and comprises the following steps: acquiring current target information of a user; sending the current target information to a server; receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; and triggering a treatment action according to the treatment instruction. The technical scheme of this application can avoid because of the influence of doctor level and experience, and the scheme of carrying out the treatment accords with user's demand, has improved user's recovered speed, has reduced the cost of doctorsing and nurses.
Description
Technical Field
The application relates to the field of respirators, in particular to a respiratory therapy method, a respiratory therapy device, a respirator and a server.
Background
With the increasing air pollution, people suffering from respiratory diseases are increasing. The respirator can be used for preventing people from suffering from respiratory diseases, the corresponding effect can be achieved by using the respirator, and when the existing respirator is used, a special doctor is required to set a treatment scheme, so that the use cost is increased.
Therefore, how to provide a scheme capable of intelligently generating a treatment plan is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The application provides a respiratory therapy method, a respiratory therapy device, a respirator and a server, and aims to solve the technical problems that medical staff are required to set a therapy scheme and medical cost is increased in the existing respirator.
In a first aspect, the present application provides a respiratory therapy method, applied to a ventilator, the respiratory therapy method comprising:
acquiring current target information of a user;
sending the current target information to a server;
receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user;
and triggering a treatment action according to the treatment instruction.
Preferably, the respiratory therapy method further comprises:
receiving a treatment adjusting instruction sent by a server, wherein the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user;
adjusting a treatment parameter according to the treatment adjustment instruction.
Preferably, the respiratory therapy method further comprises:
acquiring a manual treatment instruction;
and sending the manual treatment instruction and the historical target information corresponding to the manual treatment instruction to the server so that the server establishes a treatment regulation model according to the historical target information and the treatment effect corresponding to the manual treatment instruction and the manual treatment instruction.
In a second aspect, the present application further provides a respiratory therapy method, applied to a server, the respiratory therapy method including:
receiving current target information sent by a breathing machine;
inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user;
and sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger treatment action according to the treatment instruction.
Preferably, the respiratory therapy method further comprises:
judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information;
when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user;
sending the treatment adjustment instruction to the ventilator to enable the ventilator to adjust the treatment parameters according to the treatment adjustment instruction.
Preferably, the respiratory therapy method further comprises:
receiving a manual treatment instruction sent by a breathing machine and historical target information corresponding to the manual treatment instruction;
and establishing a treatment regulation model according to the manual treatment instruction and historical target information and treatment effect corresponding to the manual treatment instruction.
In a third aspect, the present application further provides a respiratory therapy apparatus for use in a ventilator, the respiratory therapy apparatus comprising:
the information acquisition module is used for acquiring current target information of a user;
the information sending module is used for sending the current target information to a server;
the treatment instruction receiving module is used for receiving a treatment instruction sent by the server, the treatment instruction is generated by the server according to the current target information through a treatment model, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user;
and the treatment module is used for triggering treatment actions according to the treatment instructions.
In a fourth aspect, the present application further provides a respiratory therapy apparatus applied to a server, wherein the respiratory therapy apparatus includes:
the information receiving module is used for receiving current target information sent by the breathing machine;
the treatment instruction generation module is used for inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user;
and the treatment instruction sending module is used for sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger treatment action according to the treatment instruction.
In a fifth aspect, the present application further provides a ventilator comprising:
a memory for storing a respiratory therapy program;
a processor for implementing the respiratory therapy method according to the embodiment of the first aspect of the present application when executing the respiratory therapy program.
In a sixth aspect, the present application further provides a server, including:
a memory for storing a respiratory therapy program;
a processor for implementing the respiratory therapy method according to the embodiment of the second aspect of the present application when executing the respiratory therapy program.
Compared with the prior art, the technical scheme of the application acquires the current target information of the user; sending the current target information to a server; receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; according to the treatment instruction, the treatment action is triggered, the treatment instruction can be automatically generated to treat the user, the influence of the level and experience of a doctor can be avoided, the treatment scheme meets the requirements of the user, the recovery speed of the user is improved, and the medical care cost is reduced.
Drawings
FIG. 1 is a schematic diagram of a respiratory therapy system according to a first embodiment of the present application
Fig. 2 is a flowchart of a respiratory therapy method according to a second embodiment of the present application.
Fig. 3 is a flow chart of a respiratory therapy method provided by a third embodiment of the present application.
Fig. 4 is a flowchart of a respiratory therapy method according to a fourth embodiment of the present application.
Fig. 5 is a flowchart of a respiratory therapy method according to a fifth embodiment of the present application.
Fig. 6 is a block diagram of a respiratory therapy device according to a sixth embodiment of the present application.
Fig. 7 is a block diagram of a respiratory therapy apparatus according to a seventh embodiment of the present application.
Fig. 8 is a schematic structural diagram of a ventilator according to an eighth embodiment of the present application.
Fig. 9 is a schematic structural diagram of a server according to a ninth embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the descriptions in this application referring to "first", "second", etc. are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1, a respiratory therapy system 10 is provided, the respiratory therapy system 10 being for providing respiratory therapy to a user. The respiratory therapy system 10 includes a ventilator 11 and a server 12, the ventilator 11 and the server 12 being capable of communicating, the ventilator 11 being capable of being controlled by the server 12 to provide therapy to a user.
The specific type of ventilator 11 is not limited, and may be in communication with the server 12. When the ventilator 11 and the server 12 communicate with each other, the communication may be performed in a wired or wireless manner. Specifically, the ventilator 11 may be wirelessly connected through WIFI or mobile communication technology.
The server 12 is a server or a server cluster having a calculation processing function. The server 12 can collect a large amount of information and, through big data processing, control the ventilator 11 to treat the user.
Referring to fig. 2, a second embodiment of the present application provides a respiratory therapy method, which can be performed by a respiratory therapy device, and the respiratory therapy device can be implemented by hardware and/or software. The respiratory therapy method is applied to a ventilator, and the ventilator can be the ventilator of the previous embodiment. The respiratory therapy method comprises the following steps:
s11: and acquiring current target information of the user.
The current target information may include basic information and disease information of the user. The basic information includes the age, height, weight, sex, etc. of the user. The condition information may include an Apnea Hypopnea Index (AHI), which refers to the average number of apneas and hypopneas per hour of sleep. A higher AHI indicates a more severe condition for the user. The ventilator may include an input device, such as a button or a touch screen, and the user may input basic information of the user, and the user may be the user himself, a guardian or a doctor. After the user inputs the basic information of the user, the breathing machine can acquire the basic information of the user. When the user uses the ventilator, the ventilator may obtain the condition information of the user, such as the AHI of the user. It will be appreciated that the user may also enter information about the condition of the user, such as the user's AHI, when the user first uses the ventilator to perform a therapy. It can be understood that the illness state information of the user can be continuously acquired when the user uses the respirator for treatment.
Specifically, the obtaining of the current target information of the user may include:
and acquiring the basic information and the illness state information of the user.
S12: and sending the current target information to a server.
The breathing machine is in communication connection with the server, and the breathing machine can send the current target information to the server. It will be appreciated that the current target information may be sent to the server continuously or at preset intervals, for example, once every 1 minute, when the user is using the ventilator for therapy. Sending the current target information to a server may include:
and sending the basic information and the illness state information of the user to a server.
S13: and receiving a treatment instruction sent by the server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user.
After the server receives the current target information, the server generates a treatment instruction through a treatment model according to the current target information. Specifically, the server inputs the current target information into a therapy model to generate a therapy instruction, wherein the therapy model is obtained by training the acquired current target information of each user, a therapy plan and a therapy effect of the corresponding user.
The server inputs the basic information and the illness state information of the user into the treatment model to generate a treatment instruction. Different current target information may include corresponding treatment protocols, which in turn may produce different treatment effects. If for the user A, the current target information is 30 years old, height 170cm and weight 65kg, and x symptoms are possessed, the D1 treatment effect is produced by adopting the C1 treatment scheme, and for the user B, the user B is 30 years old, height 170cm and weight 65kg, and x symptoms are possessed, the D2 treatment effect is produced by adopting the C2 treatment scheme, and the D2 treatment effect is obviously superior to the D1 treatment effect. If the basic information of the user is 30 years old, 170cm in height and 65kg in weight, and x symptoms exist, the treatment instruction corresponds to a scheme closer to the C2 treatment scheme, so that a better treatment effect is obtained. It can be understood that the server can include massive current target information of each user, and treatment schemes and treatment effects of corresponding users, so that the trained treatment model is more accurate.
When the server generates the treatment instruction, the server sends the treatment instruction to the breathing machine. The ventilator can receive the treatment instruction sent by the server.
S14: and triggering a treatment action according to the treatment instruction.
The treatment instructions include a corresponding treatment protocol. After the breathing machine receives the treatment instruction, the treatment action can be triggered according to the treatment scheme in the treatment instruction so as to carry out respiratory treatment, and a better treatment effect can be obtained. The treatment protocol may include pressure parameters that are appropriate for the user.
According to the respiratory therapy method provided by the embodiment, the current target information of a user is acquired; sending the current target information to a server; receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the treatment action is triggered according to the treatment instruction, the treatment instruction can be automatically generated to treat the user, the influence of the level and experience of a doctor can be avoided, the treatment scheme meets the requirements of the user, and the rehabilitation speed of the user is improved.
Referring to fig. 3, a respiratory therapy method is also provided in the third embodiment of the present application, and the present embodiment provides a scheme for adaptive therapy based on the foregoing embodiments. The respiratory therapy method further comprises:
s25: receiving a treatment adjusting instruction sent by a server, wherein the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; and when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user.
In the treatment process of the user using the respirator, the respirator continuously or at intervals of preset time sends current target information to the server, and the server can receive the current target information of the user at different moments, namely the current target information received by the server comprises the current target information and historical target information. If the current target information includes the AHI and the historical AHI, the server can judge the disease development trend of the user according to the change of the AHI. If the AHI becomes smaller, the disease trend is a benign trend. The benign trend means that the condition of the patient gradually improves without regulation, and the condition of the patient gradually worsens when the trend is not the benign trend. And inputting the current target information and the historical target information into the treatment adjusting model to obtain a treatment adjusting instruction. In the treatment adjustment model, the required adjustment scheme can be determined according to the current target information variation trend of the user and the treatment history adjustment scheme and treatment effect of the user.
S26: adjusting a treatment parameter according to the treatment adjustment instruction.
The treatment adjustment instructions include an adjustment regimen that requires treatment. After the breathing machine receives the treatment instruction, the treatment can be adjusted according to the adjustment scheme in the treatment adjustment instruction, and a better treatment effect can be achieved. The adjustment scheme may include adjusting a pressure parameter of the ventilator.
Preferably, the respiratory therapy method may further comprise:
acquiring a manual treatment instruction; and sending the manual treatment instruction and the historical target information corresponding to the manual treatment instruction to the server so that the server establishes a treatment regulation model according to the historical target information and the treatment effect corresponding to the manual treatment instruction and the manual treatment instruction.
When a user uses the breathing machine for treatment, a doctor can manually set treatment parameters on the breathing machine so as to treat the user, and the breathing machine can receive a manual treatment instruction, namely the manual treatment instruction is generated based on the treatment parameters manually input by the doctor. Each breathing machine sends the manual treatment instruction and the historical target information corresponding to the manual treatment instruction to the server, the server can receive a large number of manual treatment instructions and corresponding current target information and treatment effects, and the server can establish a treatment regulation model according to the manual treatment instruction and the historical target information and the treatment effects corresponding to the manual treatment instruction.
It can be understood that the server can also establish a treatment model according to the current target information, the corresponding treatment scheme and the treatment effect.
According to the respiratory therapy method provided by the embodiment, the current target information of a user is acquired; sending the current target information to a server; receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; triggering a treatment action according to the treatment instruction; receiving a treatment adjusting instruction sent by a server, wherein the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; when the disease development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user; the treatment parameters are adjusted according to the treatment adjusting instruction, the treatment condition of the user can be automatically followed, the treatment scheme is reasonably and adaptively adjusted, the doctor does not need to watch, the provided adjustment scheme is suitable for the condition of the patient, the treatment efficiency is improved, the labor is saved, and the doctor resource is saved.
Referring to fig. 4, a fourth embodiment of the present application provides a respiratory therapy method, which can be performed by a respiratory therapy device, and the respiratory therapy device can be implemented by hardware and/or software. The respiratory therapy method is applied to a server, and the server may be the server of the foregoing embodiment. The respiratory therapy method comprises the following steps:
s31: and receiving current target information sent by the respirator.
The current target information may include basic information and disease information of the user. The basic information includes the age, height, weight, sex, etc. of the user. The condition information may include an AHI. The breathing machine acquires the current target information of the user and then sends the current target information to the server, and the server can receive the current target information sent by the breathing machine. The ventilator may include an input device, such as a button or a touch screen, for inputting basic information of the user, which may be the user himself, a guardian or a doctor. After the user inputs the basic information of the user, the breathing machine can acquire the basic information of the user. When the user uses the ventilator, the ventilator may obtain the illness state information of the user, such as the AHI of the user. It will be appreciated that the user may also enter information about the condition of the user, such as the user's AHI, when the user first uses the ventilator for treatment.
S32: and inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user.
After receiving the current target information, the server generates a treatment instruction according to the current target information, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user.
The server inputs the basic information and the illness state information of the user into the treatment model to generate a treatment instruction. Different current target information may include corresponding treatment protocols, which in turn may produce different treatment effects. If for the user A, the current target information is 30 years old, height 170cm and weight 65kg, and x symptoms are possessed, the D1 treatment effect is produced by adopting the C1 treatment scheme, and for the user B, the user B is 30 years old, height 170cm and weight 65kg, and x symptoms are possessed, the D2 treatment effect is produced by adopting the C2 treatment scheme, and the D2 treatment effect is obviously superior to the D1 treatment effect. If the basic information of the user is 30 years old, 170cm in height and 65kg in weight, and x symptoms exist, the treatment instruction corresponds to a scheme closer to the C2 treatment scheme, so that a better treatment effect is obtained. It can be understood that the server can include massive current target information of each user, corresponding treatment scheme and treatment effect, so that the trained treatment model is more accurate.
S33: and sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger treatment action according to the treatment instruction.
When the server generates the treatment instruction, the server sends the treatment instruction to the breathing machine. The ventilator can receive the treatment instruction sent by the server.
The respiratory therapy method provided by the application receives current target information sent by a breathing machine; inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the treatment instruction is sent to the breathing machine, so that the breathing machine triggers treatment action according to the treatment instruction, the treatment instruction can be automatically generated to treat the user, the influence of the level and experience of a doctor can be avoided, the treatment scheme meets the requirements of the user, and the rehabilitation speed of the user is improved.
Referring to fig. 5, a respiratory therapy method is also provided in the fifth embodiment of the present application, and the present embodiment provides a self-adaptive therapy scheme based on the foregoing embodiments. The respiratory therapy method further comprises:
s44: and judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information.
In the treatment process of the user using the respirator, the respirator continuously or at intervals of preset time sends current target information to the server, and the server can receive the current target information of the user at different moments, namely the current target information received by the server comprises the current target information and historical target information. If the current target information includes the AHI and the historical AHI, the server can judge the disease development trend of the user according to the change of the AHI. If the AHI becomes smaller, the disease trend is a benign trend. If the patient is not in a benign trend, i.e., if the patient 'S condition is getting better, the patient' S condition may get worse, and the treatment regimen needs to be adjusted, step S45 is executed. Preferably, the ventilator further sends the effect corresponding to the treatment instruction to the server, and the server stores the current target information, the treatment instruction and the treatment effect corresponding to the treatment instruction when the disease condition development trend is a benign trend.
S45: and when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user.
And inputting the current target information and the historical target information into the treatment adjusting model to obtain a treatment adjusting instruction. In the treatment adjustment model, the required adjustment scheme can be determined according to the current target information change trend of the user and the treatment history adjustment scheme and treatment effect of the user.
S46: sending the treatment adjustment instruction to the ventilator to enable the ventilator to adjust the treatment parameters according to the treatment adjustment instruction.
The treatment adjustment instructions include an adjustment regimen that requires treatment. After the breathing machine receives the treatment instruction, the treatment can be adjusted according to the adjustment scheme in the treatment adjustment instruction, and a better treatment effect can be achieved. The adjustment scheme may include adjusting a pressure parameter of the ventilator.
Preferably, the respiratory therapy method further comprises:
receiving a manual treatment instruction sent by a breathing machine and historical target information corresponding to the manual treatment instruction; and establishing a treatment regulation model according to the manual treatment instruction and historical target information and treatment effect corresponding to the manual treatment instruction.
When a user uses the breathing machine to treat, a doctor can manually set treatment parameters on the breathing machine so as to treat the user, and the breathing machine can receive a manual treatment instruction, namely the manual treatment instruction is generated based on the treatment parameters manually input by the doctor. Each breathing machine sends the manual treatment instruction and the historical target information corresponding to the manual treatment instruction to the server, and the server can receive the manual treatment instruction sent by the breathing machine and the historical target information corresponding to the manual treatment instruction. The server can receive a large number of manual treatment instructions and corresponding current target information and treatment effects, and the server can establish a treatment regulation model according to the manual treatment instructions and the historical target information and treatment effects corresponding to the manual treatment instructions.
It can be understood that the server can also establish a treatment model according to the current target information, the corresponding treatment scheme and the treatment effect.
In the respiratory therapy method provided by the embodiment, current target information sent by a breathing machine is received; inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger a treatment action according to the treatment instruction; judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user; the treatment adjusting instruction is sent to the breathing machine, so that the breathing machine can automatically follow the treatment condition of a user according to the treatment adjusting instruction to adjust treatment parameters, the treatment scheme can be adjusted in a reasonable and self-adaptive mode, the doctor is not required to be on duty, the provided adjusting scheme is suitable for the state of an illness of the user, the treatment efficiency is improved, the manpower is saved, and the doctor resource is saved.
Referring to fig. 6, a respiratory treatment apparatus 50 for implementing the respiratory treatment methods of the second and third embodiments of the present application is provided in a sixth embodiment of the present application, and is applied to a ventilator. The respiratory therapy device 50 includes:
an information obtaining module 51, configured to obtain current target information of a user;
an information sending module 52, configured to send the current target information to a server;
a treatment instruction receiving module 53, configured to receive a treatment instruction sent by a server, where the treatment instruction is generated by the server according to the current target information through a treatment model, and the treatment model is obtained by training acquired current target information of each user, a treatment scheme and a treatment effect of a corresponding user;
and the treatment module 54 is used for triggering a treatment action according to the treatment instruction.
The respiratory therapy device provided by the application acquires current target information of a user; sending the current target information to a server; receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the treatment action is triggered according to the treatment instruction, the treatment instruction can be automatically generated to treat the user, the influence of the level and experience of a doctor can be avoided, the treatment scheme meets the requirements of the user, and the rehabilitation speed of the user is improved.
Preferably, the respiratory therapy device 50 further comprises:
the adjustment instruction receiving module is used for receiving a treatment adjustment instruction sent by the server, and the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; when the disease development trend is not a benign trend, inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, the corresponding historical adjustment scheme and the treatment effect of each user;
and the adjusting module is used for adjusting the treatment parameters according to the treatment adjusting instruction.
Preferably, the respiratory therapy device 50 further comprises:
the manual instruction acquisition module is used for acquiring a manual treatment instruction;
and the manual instruction sending module is used for sending the manual treatment instruction and the historical target information corresponding to the manual treatment instruction to the server so as to enable the server to establish a treatment regulation model according to the manual treatment instruction and the historical target information and treatment effect corresponding to the manual treatment instruction.
The product can execute the method provided by the second embodiment or the third embodiment of the application, and has corresponding functional modules and beneficial effects of the execution method.
Referring to fig. 7, a respiratory treatment apparatus 60 is provided according to a seventh embodiment of the present application, and the respiratory treatment apparatus is applied to a server. The respiratory therapy device 60 includes:
the information receiving module 61 is used for receiving current target information sent by the breathing machine;
a treatment instruction generating module 62, configured to input the current target information into a treatment model to generate a treatment instruction, where the treatment model is obtained by training acquired current target information of each user, a treatment scheme and a treatment effect of a corresponding user;
and a treatment instruction sending module 63, configured to send the treatment instruction to the ventilator, so that the ventilator triggers a treatment action according to the treatment instruction.
The respiratory therapy device provided by the application receives current target information sent by a breathing machine; inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the treatment instruction is sent to the breathing machine, so that the breathing machine triggers treatment action according to the treatment instruction, the treatment instruction can be automatically generated to treat the user, the influence of the level and experience of a doctor can be avoided, the treatment scheme meets the requirements of the user, and the rehabilitation speed of the user is improved.
Preferably, the respiratory therapy device 60 further comprises:
the judging module is used for judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information;
the adjustment instruction generating module is used for inputting the current target information and the historical target information into the treatment adjustment model to generate a treatment adjustment instruction when the disease development trend is not a benign trend, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, a corresponding historical adjustment scheme and a treatment effect of each user;
and the adjusting instruction sending module is used for sending the treatment adjusting instruction to the breathing machine so as to enable the breathing machine to adjust the treatment parameters according to the treatment adjusting instruction.
Preferably, the respiratory therapy device 60 further comprises:
the manual instruction receiving module is used for receiving a manual treatment instruction sent by a breathing machine and historical target information corresponding to the manual treatment instruction;
and the adjustment model generation module is used for establishing a treatment adjustment model according to the manual treatment instruction and historical target information and treatment effect corresponding to the manual treatment instruction.
Preferably, the respiratory therapy device 60 further comprises:
and the treatment model generation module is used for establishing a treatment model according to the current target information, the corresponding treatment scheme and the treatment effect.
Preferably, the respiratory therapy device 60 further comprises:
and storing the current target information, the treatment instruction and the treatment effect corresponding to the treatment instruction.
The product can execute the method provided by the fourth embodiment or the fifth embodiment of the application, and has corresponding functional modules and beneficial effects of the execution method.
Referring to fig. 8, an eighth embodiment of the present application provides a ventilator 70, the ventilator 70 being capable of performing a respiratory therapy method as described in any of the second and third embodiments of the present application. The ventilator 70 includes:
one or more processors 71 and a memory 72. In the figure, one processor 71 is taken as an example.
The processor 71 and the memory 72 may be connected by a bus or other means, such as a bus connection.
The memory 72 is a non-transitory computer readable storage medium, and can be used to store a non-transitory software program, a non-transitory computer executable program, and program instructions corresponding to a respiratory therapy method according to any one of the second and third embodiments of the present application. The processor 71 executes the various functional applications of a method of respiratory therapy and data processing, i.e. a method of respiratory therapy as in any of the second and third embodiments, by executing non-volatile software program instructions stored in the memory 72.
The memory 72 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like.
Further, the memory 72 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 72 may optionally include memory located remotely from the processor 71, and such remote memory may be connected to the processor 71 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions are stored in the memory 72 and, when executed by the one or more processors 71, perform the steps of a method of respiratory therapy of any one of the second and third embodiments.
The product can execute the method provided by any one of the second embodiment and the third embodiment of the application, and has the corresponding beneficial effects of executing the method. For details of the technology that are not described in detail in this embodiment, reference may be made to the method provided in any of the second embodiment and the third embodiment of the present application.
Embodiments of the present application also provide a storage medium, which is a computer-readable storage medium, and particularly a non-volatile computer-readable storage medium, and stores computer-executable respiratory therapy instructions, which are executed by one or more processors, such as the processor 71 in the figure, and can cause the computer to perform the steps of a respiratory therapy method in any one of the second and third embodiments.
Embodiments also provide a computer program product comprising a respiratory therapy program stored on a non-transitory computer readable storage medium, the respiratory therapy program comprising program instructions that, when executed by one or more processors, such as the one 71 in the figure, cause the computer to perform the steps of a method of respiratory therapy in any one of the second and third embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. It will be understood by those skilled in the art that all or part of the process flow in the method for implementing any of the second and third embodiments may be performed by hardware associated with computer program instructions.
The present application also provides a storage medium including a computer readable storage medium, and the respiratory therapy program may be stored in a computer readable storage medium, and when executed, may include a flow of the method according to any one of the second and third embodiments. The storage medium may include, among others, flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The storage medium may be a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like in alternative embodiments.
Referring to fig. 9, a ninth embodiment of the present application provides a server 80, and the server 80 is capable of executing a respiratory therapy method according to any one of the fourth and fifth embodiments of the present application. The server 80 includes:
one or more processors 81 and memory 82. Here, one processor 81 is illustrated as an example.
The processor 81 and the memory 82 may be connected by a bus or other means, and are shown as being connected by a bus for example.
The memory 82, as a non-volatile computer readable storage medium, may be used to store a non-volatile software program, a non-volatile computer executable program, such as program instructions corresponding to a method of respiratory therapy as in any of the fourth and fifth embodiments of the present application. The processor 81 executes the non-volatile software program instructions stored in the memory 82 to perform various functional applications of a method of respiratory therapy and data processing, i.e. to implement a method of respiratory therapy in any of the fourth and fifth embodiments of the present application.
The memory 82 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like.
Further, the memory 82 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 82 may optionally include memory located remotely from the processor 81, which may be connected to the processor 81 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions are stored in the memory 82 and, when executed by the one or more processors 81, perform the steps of a method of respiratory therapy in any of the fourth and fifth embodiments of the present application.
The product can execute the method provided by any one of the fourth embodiment and the fifth embodiment of the application, and has the corresponding beneficial effects of executing the method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided in any one of the fourth embodiment and the fifth embodiment of the present application.
Embodiments of the present application further provide a storage medium, which is a computer-readable storage medium, specifically a non-volatile computer-readable storage medium, and stores computer-executable respiratory therapy instructions, which are executed by one or more processors, such as a processor 81 in the figure, and can cause the computer to perform the steps of a respiratory therapy method in any one of the fourth and fifth embodiments of the present application.
Embodiments of the present application also provide a computer program product comprising a respiratory therapy program stored on a non-transitory computer readable storage medium, the respiratory therapy program comprising program instructions that, when executed by one or more processors, such as the one processor 81 in the figure, cause the computer to perform the steps of a method of respiratory therapy as in any of the fourth and fifth embodiments of the present application.
Through the above description of the embodiments, it is clear to those skilled in the art that the embodiments may be implemented by software plus a general hardware platform, and may also be implemented by hardware. Persons skilled in the art will recognize that all, or part of, the flowchart of any one of the methods in the fourth and fifth embodiments of the present application can be implemented by hardware related to computer program instructions.
The present application also provides a storage medium including a computer readable storage medium, and the respiratory therapy program may be stored in a computer readable storage medium, and when executed, may include a flow of the method according to any one of the fourth and fifth embodiments of the present application. The storage medium may include, among others, flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The storage medium may be a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like in alternative embodiments.
The above description is only a preferred embodiment of the present application, and not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application, or which are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.
Claims (6)
1. A respiratory therapy device applied to a breathing machine, characterized in that the respiratory therapy device comprises:
the information acquisition module is used for acquiring current target information of a user;
the information sending module is used for sending the current target information to a server;
the treatment instruction receiving module is used for receiving a treatment instruction sent by the server, the treatment instruction is generated by the server according to the current target information through a treatment model, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the target information comprises basic information and illness state information of a user; the condition information includes a sleep apnea hypopnea index; continuously acquiring the illness state information of a user when the user uses a respirator for treatment;
the treatment module is used for triggering treatment actions according to the treatment instructions;
the adjustment instruction receiving module is used for receiving a treatment adjustment instruction sent by the server, and the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information; when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into a treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, a corresponding historical adjustment scheme and a treatment effect of each user;
and the adjusting module is used for adjusting the treatment parameters according to the treatment adjusting instruction.
2. A respiratory therapy device applied to a server, characterized in that the respiratory therapy device comprises:
the information receiving module is used for receiving current target information sent by the breathing machine;
the treatment instruction generation module is used for inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the target information comprises basic information and illness state information of a user; the condition information includes a sleep apnea hypopnea index; continuously acquiring the illness state information of a user when the user uses a respirator for treatment;
the treatment instruction sending module is used for sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger treatment action according to the treatment instruction;
the judging module is used for judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information;
the adjusting instruction generating module is used for inputting the current target information and the historical target information into a treatment adjusting model to generate a treatment adjusting instruction when the disease development trend is not a benign trend, wherein the treatment adjusting model is obtained by training by adopting the current target information, the historical target information, a corresponding historical adjusting scheme and a treatment effect of each user;
and the adjusting instruction sending module is used for sending the treatment adjusting instruction to the breathing machine so as to enable the breathing machine to adjust the treatment parameters according to the treatment adjusting instruction.
3. A ventilator, characterized in that the ventilator comprises:
a memory for storing a respiratory therapy program;
a processor for executing a respiratory therapy method implemented in the respiratory therapy program;
the respiratory therapy method comprises the following steps:
acquiring current target information of a user;
sending the current target information to a server;
receiving a treatment instruction sent by a server, wherein the treatment instruction is generated by the server through a treatment model according to the current target information, and the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user; the target information comprises basic information and disease information of a user; the condition information includes a sleep apnea hypopnea index; continuously acquiring the illness state information of a user when the user uses a respirator for treatment; triggering a treatment action according to the treatment instruction;
receiving a treatment adjusting instruction sent by a server, wherein the server judges whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information;
when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into a treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, a corresponding historical adjustment scheme and a treatment effect of each user;
adjusting a treatment parameter according to the treatment adjustment instruction.
4. The ventilator of claim 3, wherein the respiratory therapy method further comprises:
acquiring a manual treatment instruction;
and sending the manual treatment instruction and historical target information corresponding to the manual treatment instruction to the server so that the server establishes a treatment adjustment model according to the manual treatment instruction and the historical target information and treatment effect corresponding to the manual treatment instruction.
5. A server, characterized in that the server comprises:
a memory for storing a respiratory therapy program;
a processor for executing a respiratory therapy method implemented in the respiratory therapy program;
the respiratory therapy method comprises the following steps:
receiving current target information sent by a breathing machine;
inputting the current target information into a treatment model to generate a treatment instruction, wherein the treatment model is obtained by training the acquired current target information of each user, a treatment scheme and a treatment effect of the corresponding user;
sending the treatment instruction to the breathing machine so as to enable the breathing machine to trigger a treatment action according to the treatment instruction;
judging whether the disease development trend of the user is a benign trend or not according to the current target information and the historical target information;
when the disease condition development trend is not a benign trend, inputting the current target information and the historical target information into a treatment adjustment model to generate a treatment adjustment instruction, wherein the treatment adjustment model is obtained by training by adopting the current target information, the historical target information, a corresponding historical adjustment scheme and a treatment effect of each user;
and sending the treatment adjusting instruction to the breathing machine so as to enable the breathing machine to adjust the treatment parameters according to the treatment adjusting instruction.
6. The server of claim 5, wherein the respiratory therapy method further comprises:
receiving a manual treatment instruction sent by a breathing machine and historical target information corresponding to the manual treatment instruction;
and establishing a treatment regulation model according to the manual treatment instruction and historical target information and treatment effect corresponding to the manual treatment instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911205385.4A CN112870504B (en) | 2019-11-29 | 2019-11-29 | Respiratory therapy method and device, breathing machine and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911205385.4A CN112870504B (en) | 2019-11-29 | 2019-11-29 | Respiratory therapy method and device, breathing machine and server |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112870504A CN112870504A (en) | 2021-06-01 |
| CN112870504B true CN112870504B (en) | 2023-01-20 |
Family
ID=76038972
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911205385.4A Active CN112870504B (en) | 2019-11-29 | 2019-11-29 | Respiratory therapy method and device, breathing machine and server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112870504B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115054788A (en) * | 2022-06-16 | 2022-09-16 | 广州蓝仕威克医疗科技有限公司 | Control device and breathing machine of accurate regulation gas mixture and flow |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011021118A1 (en) * | 2009-08-15 | 2011-02-24 | Koninklijke Philips Electronics, N.V. | System and method of remotely monitoring and/or managing the treatment of a plurality of subjects with aerosolized medicament |
| CN102641538B (en) * | 2012-05-22 | 2015-09-02 | 北京怡和嘉业医疗科技有限公司 | Ventilation therapy equipment and the data processing equipment for ventilation therapy equipment |
| CN106126873B (en) * | 2016-05-30 | 2019-02-05 | 刘华英 | Therapeutic scheme recommended method and system |
| CN106039510B (en) * | 2016-07-29 | 2018-12-25 | 湖南明康中锦医疗科技发展有限公司 | Method, ventilator and the cloud platform of ventilator security control |
| CN106485048A (en) * | 2016-09-09 | 2017-03-08 | 湖南明康中锦医疗科技发展有限公司 | A kind of waveform drawing drawing method of remote exhibition lung ventilator real-time treatment data |
| CN106845077A (en) * | 2016-12-22 | 2017-06-13 | 北京品驰医疗设备有限公司 | A kind of Telemedicine System parameter configuring system |
| CN107220491A (en) * | 2017-05-18 | 2017-09-29 | 湖南明康中锦医疗科技发展有限公司 | Cloud Server, the method reminded and computer-readable recording medium |
| CN108309286A (en) * | 2017-12-15 | 2018-07-24 | 中国人民解放军第二军医大学第二附属医院 | Sleep disturbance detects treatment system |
| CN109599182A (en) * | 2019-02-18 | 2019-04-09 | 湖南金特尔信息技术有限公司 | A kind of gene target therapeutic scheme recommender system and related system |
-
2019
- 2019-11-29 CN CN201911205385.4A patent/CN112870504B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112870504A (en) | 2021-06-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20240038404A1 (en) | System and method for secured sharing of medical data generated by a patient medical device | |
| CN105549408B (en) | Wearable device, smart home server and its control method and system | |
| CN105960196B (en) | Smart wearable device and method for collecting sensory information from wearable device for activating functions in other device | |
| CN105069363B (en) | The distribution of intelligent robot account and management method and system based on artificial intelligence | |
| US20140304773A1 (en) | Systems, devices, components and methods for communicating with an imd using a portable electronic device and a mobile computing device | |
| CN112870504B (en) | Respiratory therapy method and device, breathing machine and server | |
| CN104636590B (en) | Human body physiological data detection method based on cloud database, apparatus and system | |
| CN108375909A (en) | A kind of parameters analysis method, device, equipment and computer readable storage medium | |
| KR20220005073A (en) | Methods and systems for providing personalized medications to patients | |
| EP3550798B1 (en) | Information processing method and apparatus | |
| WO2018161896A1 (en) | Remote rehabilitation system | |
| CN112885448A (en) | AVAPS parameter setting method and device, breathing machine and server | |
| WO2015078796A1 (en) | Sleep mask gamification | |
| CN110619941A (en) | Electric needle treatment system and data optimization method thereof | |
| KR101763876B1 (en) | Device and method for correcting of posture | |
| Fan | Usage of narrowband internet of things in smart medicine and construction of robotic rehabilitation system | |
| CN115218349A (en) | Intelligent air conditioner control method and device, air conditioner, electronic equipment and storage medium | |
| CN112870503A (en) | Pressure adjusting method and device, breathing machine and server | |
| CN110639170B (en) | Locking method and device of training equipment, training equipment and storage medium | |
| JPWO2022254484A5 (en) | System, authentication method, authentication terminal, authentication terminal control method and program | |
| CN110795017A (en) | Virtual button control method and related product thereof | |
| CN109508092A (en) | Method, apparatus and terminal based on eyeball tracking controlling terminal equipment | |
| CN112885449A (en) | Treatment parameter setting method and device, breathing machine and server | |
| US20230140863A1 (en) | Systems and methods for operating an implantable medical device based upon a sensed physical action | |
| CN116107462A (en) | Interactive control method and device of eye protection instrument and computer readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |