CN111739626B - Breathing machine service method, breathing machine control management system and breathing machine - Google Patents
Breathing machine service method, breathing machine control management system and breathing machine Download PDFInfo
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- CN111739626B CN111739626B CN202010570701.4A CN202010570701A CN111739626B CN 111739626 B CN111739626 B CN 111739626B CN 202010570701 A CN202010570701 A CN 202010570701A CN 111739626 B CN111739626 B CN 111739626B
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M16/00—Devices for influencing the respiratory system of patients by gas treatment, e.g. mouth-to-mouth respiration; Tracheal tubes
- A61M16/0003—Accessories therefor, e.g. sensors, vibrators, negative pressure
Abstract
The application relates to a ventilator service, and discloses a ventilator service method, which comprises the following steps: receiving a service request data packet sent by a breathing machine based on a connection channel; analyzing data request information carried in the request service data packet based on a service data packet analysis program; according to the analyzed request content, carrying out optimization matching based on a non-network storage space and an online network storage space; generating a service delivery data packet according to the result of the optimized matching; and sending the service delivery data packet to the breathing machine based on a connecting channel. The application also discloses a control management system of the breathing machine and the breathing machine. The method and the system realize interaction between the user and the respirator control management system through the respirator end, particularly can send audio and image information to the respirator control management system, and the respirator control management system supports an online network storage space, so that the online network storage space can acquire and store the audio and image information of different users when the users use the respirator.
Description
Technical Field
The application relates to the technical field of medical treatment, in particular to a breathing machine service method, a breathing machine control management system and a breathing machine.
Background
The ventilator has been widely used in respiratory failure due to various reasons, anesthesia and breathing management during major surgery, respiratory support therapy and emergency resuscitation, and has a very important position in the modern medical field as an effective means for manually replacing the autonomous ventilation function.
Particularly, under the condition that the epidemic situation of respiratory diseases is greatly influenced, a breathing machine used by a patient user can only receive local services, a special request of the breathing machine cannot be met, and the request service cannot be directly obtained through audio or images.
Disclosure of Invention
The invention aims to provide a breathing machine service method, a breathing machine control management system and a breathing machine.
The breathing machine service method, the breathing machine control management system and the breathing machine in the application adopt the following technical scheme:
the breathing machine service method is applied to a control management system side and comprises the following steps:
receiving a service request data packet sent by a breathing machine based on a connection channel;
analyzing data request information carried in the request service data packet based on a service data packet analysis program;
performing optimization matching based on a non-network storage space and an online network storage space according to the analyzed request content;
generating a service delivery data packet according to the result of the optimized matching;
and sending the service delivery data packet to the breathing machine based on a connecting channel.
Wherein, the first and the second end of the pipe are connected with each other,
before analyzing the data request information carried in the service request data packet based on the service data packet analysis program, the method further comprises the following steps: carrying out audio or image analysis on the data request information carried in the request service data packet to acquire data request information in a text form;
wherein the content of the first and second substances,
according to the analyzed request content, the optimization matching based on the non-network storage space and the online network storage space comprises the following steps:
performing optimization matching based on a non-network storage space and an online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result, and obtaining an optimization matching result based on a preset operation method according to the at least one optimization matching sub-result;
and/or:
wherein, the first and the second end of the pipe are connected with each other,
according to the analyzed request content, the optimization matching based on the non-network storage space and the online network storage space comprises the following steps:
performing optimization matching based on the non-network storage space according to the analyzed request content to obtain a basic optimization matching result;
performing optimization matching based on an online network storage space according to the analyzed request content to obtain a perfect optimization matching result;
and perfecting the basic optimization matching result according to the perfection optimization matching result to obtain an optimization matching result.
Further, the optimization matching based on the non-network storage space to obtain the basic optimization matching result is specifically,
the non-network storage space configures a matching result dataset set { m1= (1b1, 1b2,,, 1 bn), m2= (2b1, 2b2,,,, 2 bn),,,,,,, mt = (tb 1, tb2,,, tbn) }in advance
Acquiring a data set (q 1, q2, q, qn) qn of request content to represent data elements in the data set, wherein mt represents a single group data set of a matching result data set group, t or n both represent natural numbers, bn represents data elements in the single group data set, calculating a matching parameter sigma (qn-tbn) 2= p, and selecting a group data set mt which is configured in the matching result data set group and enables the matching parameter p to be minimum as a basic optimization matching result.
Further, the optimization matching based on the online network storage space to obtain the perfect optimization matching result is specifically,
the network storage space configures in advance a matching result dataset set { c1= (1d1, 1d2,,, 1 dn), c2= (2d1, 2d2,,,, 2 dn),,,,,, c t = (td 1, td2,,,, tdn) }, where ct represents a single dataset of the matching result dataset set, t or n each represents a natural number, dn represents a data element in the single dataset, each set of datasets c t is fitted to a function f (tdn), a dataset of the requested content (q 1, q2,,,, qn) is obtained, a dataset of the requested content is fitted to a function f (qn), an integral quantity of the function f (tdqn) -f (tdqn) is calculated, and a set of ct with the smallest integral quantity is selected as a perfect optimized matching result.
Generating a service delivery data packet according to the result of the optimized matching comprises:
analyzing the data type of the breathing machine according to the service request data packet; generating data parameters meeting the data type requirements according to the result of the optimized matching; and generating the service issuing data packet according to the data parameter.
A breathing machine service method is applied to the breathing machine side and comprises the following steps:
receiving data request information input by a client through a multimedia device;
generating a request service data packet according to the data request information;
sending the service request data packet to a control management system;
receiving a service delivery data packet from a control management system;
and controlling a singlechip of the breathing machine to execute a corresponding command according to the service delivery data packet.
The control management system of the breathing machine comprises the following connected modules:
the receiving module is used for receiving a service request data packet sent by the breathing machine based on the connecting channel;
the analysis module is used for analyzing the data request information carried in the request service data packet based on a service data packet analysis program;
the optimization matching module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content;
the data packet generating module is used for generating a service issuing data packet according to the result of the optimized matching;
and the data packet sending module is used for sending the service delivery data packet to the breathing machine based on the connecting channel.
Further, the control management system further includes:
and the optimization analysis module is used for carrying out audio or image analysis on the data request information carried in the request service data packet before analyzing the data request information carried in the request service data packet based on a service data packet analysis program so as to obtain the data request information in a text form.
Further, the optimization matching module comprises:
the matching sub-module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result; and the matching result obtaining submodule is used for obtaining an optimized matching result based on a preset operation method according to the at least one optimized matching sub-result.
The optimized matching module further comprises:
the basic optimization matching result acquisition submodule is used for carrying out optimization matching based on the non-network storage space according to the analyzed request content to obtain a basic optimization matching result; the perfection optimization matching result obtaining submodule is used for carrying out optimization matching based on the online network storage space according to the analyzed request content to obtain a perfection optimization matching result; and the optimization matching result perfecting submodule is used for perfecting the basic optimization matching result according to the perfection optimization matching result so as to obtain the optimization matching result.
The data packet generating module comprises:
the data packet type analysis submodule is used for analyzing the data type of the breathing machine according to the request service data packet;
the data packet parameter generating submodule is used for generating data parameters meeting the data type requirements according to the result of the optimized matching;
and the service delivery data packet generation submodule is used for generating the service delivery data packet according to the data parameters.
A ventilator, comprising electrically connected modules:
the multimedia equipment receiving module is used for receiving input data request information;
the request generation module is used for generating a request service data packet according to the data request information;
the request sending module is used for sending the request service data packet to a control management system;
the service delivery data packet receiving module is used for receiving the service delivery data packet from the control management system;
and the singlechip execution module is used for controlling the singlechip of the breathing machine to execute corresponding commands according to the service delivery data packet.
Compared with the prior art, the beneficial technical effect of this application lies in:
the method and the system realize interaction between a user and the respirator control management system through the respirator end, particularly can send audio and image information to the respirator control management system, and the respirator control management system supports an online network storage space, and can acquire and store the audio and image information of different users when using the respirator through the online network storage space, thereby not only providing real-time and efficient request service for the users, but also gathering user data into big data information and providing the big data information for scientific research institutions to fetch research or artificial intelligence application training and learning similar to scroll computer networks to better provide service for the users.
Drawings
FIG. 1 is a flow chart of a method of ventilator service in the present application;
FIG. 2 is a block diagram of one embodiment of a ventilator control management system according to the present application.
Detailed Description
In a specific implementation, the ventilator service method in the present application is applied to a control management system side, as shown in fig. 1, and includes the steps of:
s1, receiving a service request data packet sent by a breathing machine based on a connecting channel;
s2, analyzing data request information carried in the service request data packet based on a service data packet analyzing program;
s3, according to the analyzed request content, carrying out optimization matching based on a non-network storage space and an online network storage space;
s4, generating a service issuing data packet according to the result of the optimized matching;
and S5, sending the service delivery data packet to the breathing machine based on a connecting channel.
Before the S2 analyzes the data request information carried in the service request data packet based on the service data packet analysis program, the method further includes: carrying out audio or image analysis on the data request information carried in the request service data packet to acquire data request information in a text form; the S3, according to the analyzed request content, performing optimization matching based on the non-network storage space and the online network storage space comprises: performing optimization matching based on a non-network storage space and an online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result, and obtaining an optimization matching result based on a preset operation method according to the at least one optimization matching sub-result;
and/or:
the S3, according to the analyzed request content, performing optimization matching based on the non-network storage space and the online network storage space comprises:
performing optimization matching based on the non-network storage space according to the analyzed request content to obtain a basic optimization matching result;
performing optimization matching based on an online network storage space according to the analyzed request content to obtain a perfect optimization matching result;
and perfecting the basic optimization matching result according to the perfection optimization matching result to obtain an optimization matching result.
In S3, the optimization matching is carried out based on the non-network storage space, and the obtained basic optimization matching result is specifically,
the non-network storage space configures a matching result dataset set { m1= (1b1, 1b2,,,, 1 bn), m2= (2b1, 2b2,,,,,,,,,,,, = (tb 1, tb2,,,, } tb) }in advance
Acquiring a data set (q 1, q2, q, qn) qn of the request content to represent data elements in the data set, wherein mt represents a single group data set of the matching result data set group, t or n both represent natural numbers, bn represents data elements in the single group data set, and calculating the matching parameter number (qn- tbn) 2 = p, selecting a group of data sets mt which are configured with the matching result data set group and enable the matching parameter number p to be minimum as a basic optimization matching result; the matching parameter number substantially represents the closeness between the single group dataset of different result dataset groups and the dataset of the requested content, and when the matching parameter number p is minimum, the closeness between the single group dataset of the corresponding result dataset group and the dataset of the requested content is maximum, so that a group dataset mt which enables the matching parameter number p to be minimum in the corresponding dataset group can be selected as a base optimization matching result.
S3, the optimization matching is carried out based on the online network storage space, and the obtained perfect optimization matching result is specifically,
the network storage space configures a matching result data set group { c1= (1d1, 1d2,,, 1 dn), c2= (2d1, 2d2,,, 2 dn),,,,,, c t = (td 1, td2,,,, tdn) }, wherein ct represents a single group data set of the matching result data set group, t or n each represents a natural number, dn represents a data element in the single group data set, each group data set c t is fitted to a function f (tdn), a data set (q 1, q2,,,, qn) of the request content is obtained, a data set of the request content is fitted to a function f (qn), an integral quantity of the functions f (tdqn) -f (n) is calculated, and a group ct of the smallest integral quantity is selected as a perfect optimized matching result; in a specific implementation, the fitting of each set of data c t to a function f (tdn) or the fitting of the set of requested content to a function f (qn) is to characterize a nonlinear relationship between corresponding sets of data, the fitting of the functions can be closer to the nature of data characterization, the integral quantity of the functions f (qn) -f (tdn) also substantially characterizes the closeness between the single set of data sets of different result sets of data and the set of requested content, and when the integral quantity is minimum, the closeness between the single set of data sets of the corresponding result set of data and the set of requested content is maximum, so the set of data ct with the minimum integral quantity is selected as a perfect optimization matching result.
In the implementation, the step S4 of generating the service delivery data packet according to the result of the optimization matching includes:
analyzing the data type of the breathing machine according to the service request data packet; generating data parameters meeting the data type requirements according to the result of the optimized matching; and generating the service issuing data packet according to the data parameter.
In implementation, the ventilator service method is applied to the ventilator side and comprises the following steps:
receiving data request information input by a client through multimedia equipment;
generating a service request data packet according to the data request information;
sending the service request data packet to a control management system;
receiving a service delivery data packet from a control management system;
and controlling a singlechip of the breathing machine to execute a corresponding command according to the service delivery data packet.
In operation, the ventilator control management system, as shown in fig. 2, includes the following connected modules:
the receiving module is used for receiving a service request data packet sent by the breathing machine based on the connecting channel;
the analysis module is used for analyzing the data request information carried in the request service data packet based on a service data packet analysis program;
the optimization matching module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content;
the data packet generating module is used for generating a service issuing data packet according to the result of the optimized matching;
and the data packet sending module is used for sending the service delivery data packet to the breathing machine based on the connecting channel.
In implementation, the ventilator control management system is preferably implemented by software, and certainly not limited to software implementation, and any one of the modules may be implemented by a software or hardware structure.
For example, in one implementation, the ventilator control management system is a server completely located on the internet, the TCP/IP protocol embedded single chip microcomputer is configured at the caller end, and the data transmission of the single chip microcomputer in the local area network and on the internet through the local area network is realized by means of the network card chip CS8900, thereby completing the overall architecture of the present application.
The control management system further includes:
and the optimization analysis module is used for carrying out audio or image analysis on the data request information carried in the request service data packet before analyzing the data request information carried in the request service data packet based on a service data packet analysis program so as to obtain the data request information in a text form. The optimized matching module comprises:
the matching sub-module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result; the matching result obtaining submodule is used for obtaining an optimized matching result based on a preset operation method according to the at least one optimized matching sub-result;
the optimized matching module further comprises:
the basic optimization matching result acquisition submodule is used for carrying out optimization matching based on the non-network storage space according to the analyzed request content to obtain a basic optimization matching result; the perfect optimization matching result acquisition submodule is used for carrying out optimization matching based on the online network storage space according to the analyzed request content to obtain a perfect optimization matching result; the optimization matching result perfecting submodule is used for perfecting a basic optimization matching result according to the perfection optimization matching result so as to obtain an optimization matching result;
the data packet generating module comprises:
the data packet type analysis submodule is used for analyzing the data type of the breathing machine according to the request service data packet;
the data packet parameter generating submodule is used for generating data parameters meeting the data type requirement according to the result of the optimized matching;
and the service issuing data packet generating submodule is used for generating the service issuing data packet according to the data parameters.
In practice, a ventilator, comprising electrically connected modules:
the multimedia equipment receiving module is used for receiving input data request information;
the request generation module is used for generating a request service data packet according to the data request information;
the request sending module is used for sending the request service data packet to a control management system;
the service delivery data packet receiving module is used for receiving the service delivery data packet from the control management system;
and the singlechip execution module is used for controlling the singlechip of the breathing machine to execute corresponding commands according to the service delivery data packet.
In implementation, the multimedia device receiving module is an audio input device or an image input device in the multimedia device, the single chip microcomputer execution module is a control electromechanical circuit of the single chip microcomputer, the request sending module can adopt a sending circuit based on a WIFI protocol, and the service delivery data packet receiving module can adopt a receiving circuit based on the WIFI protocol; the breathing machine also comprises at least one memory, a single chip microcomputer and a control circuit main board.
In specific implementation, the method and the system realize interaction between a user and a respirator control management system through a respirator end, particularly can send audio and image information to the respirator control management system, and the respirator control management system supports an online network storage space, so that the online network storage space can acquire and store the audio and image information of different users when the users use the respirator, and not only can provide real-time and efficient request service for the users, but also can collect user signals into big data information and provide the big data information for scientific research institutions to fetch research or provide artificial intelligence application training learning similar to a computer network so as to better provide service for the users.
Although the present application has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes in the specific parameters of the embodiments may be made without departing from the spirit of the present application, and a plurality of specific embodiments are formed, which are common variation ranges of the present application, and will not be described in detail herein.
Claims (3)
1. A method of ventilator servicing, comprising the steps of: receiving data request information input by a client through a multimedia device; generating a request service data packet according to the data request information; sending the service request data packet to a control management system; receiving a service request data packet sent by a breathing machine based on a connection channel; analyzing data request information carried in the request service data packet based on a service data packet analysis program; performing optimization matching based on a non-network storage space and an online network storage space according to the analyzed request content; generating a service issuing data packet according to the result of the optimized matching; sending the service delivery data packet to the ventilator based on a connection channel; receiving a service delivery data packet from a control management system; controlling a singlechip of the breathing machine to execute a corresponding command according to the service delivery data packet;
before analyzing the data request information carried in the service request data packet based on the service data packet analysis program, the method further comprises the following steps: carrying out audio or image analysis on the data request information carried in the request service data packet to acquire data request information in a text form; according to the analyzed request content, the optimization matching based on the non-network storage space and the online network storage space comprises the following steps: performing optimization matching based on a non-network storage space and an online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result, and obtaining an optimization matching result based on a preset operation method according to the at least one optimization matching sub-result; and/or: according to the analyzed request content, the optimization matching based on the non-network storage space and the online network storage space comprises the following steps: according to the analyzed request content, performing optimization matching based on a non-network storage space to obtain a basic optimization matching result; performing optimization matching based on an online network storage space according to the analyzed request content to obtain a perfect optimization matching result; perfecting a basic optimization matching result according to the perfection optimization matching result to obtain an optimization matching result;
the optimized matching based on the non-network storage space to obtain the basic optimized matching result is specifically that the non-network storage space configures in advance a matching result data set group { m1= (1b1, 1b2,,,,, 1 bn), m2= (2b1, 2b2,,,,,,,,,,,,,,,,, etc.) } to obtain a data set (q 1, q2,,,,, qn) qn of the requested content, where mt represents a single group data set of the matching result data set group, t or n represents a natural number, bn represents a data element in the single group data set, and a matching parameter amount Σ (qn-tbn) is calculated 2 = p, selecting a group of data sets mt which are configured with the matching result data set group and enable the matching parameter number p to be minimum as a basic optimization matching result;
the optimized matching based on the online network storage space to obtain the perfect optimized matching result is specifically that the network storage space configures a matching result data set group { c1= (1d1, 1d2,,,,, 1 dn), c2= (2d1, 2d2,,, 2 dn),,,,, ct = (td 1, td2,,, tdn) } in advance, where ct represents a single group data set of the matching result data set group, t or n each represents a natural number, dn represents a data element in the single group data set, each group data set ct is fitted to a function f (tdn), a data set (q 1, q2,,, integration, qn) of the request content is obtained, qn represents a data element in the data set of the request content is fitted to a function f (qn), quantities of the functions f (n) -f (tdn) are calculated, and a group of the smallest quantities of the matching result data sets is selected as the optimized matching result ct.
2. The method of claim 1, wherein generating the service delivery data packet according to the result of the optimization matching comprises: analyzing the data type of the breathing machine according to the service request data packet; generating data parameters meeting the data type requirements according to the result of the optimized matching; and generating the service issuing data packet according to the data parameter.
3. The control management system of the breathing machine is characterized by comprising the following connected modules: the receiving module is used for receiving a service request data packet sent by the breathing machine based on the connecting channel; the analysis module is used for analyzing the data request information carried in the request service data packet based on a service data packet analysis program; the optimization matching module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content; the data packet generating module is used for generating a service issuing data packet according to the result of the optimized matching; a data packet sending module, configured to send the service delivery data packet to the ventilator based on a connection channel;
the optimization analysis module is used for carrying out audio or image analysis on the data request information carried in the request service data packet before analyzing the data request information carried in the request service data packet based on a service data packet analysis program so as to obtain data request information in a text form;
the optimized matching module comprises: the matching sub-module is used for carrying out optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content to obtain at least one optimization matching sub-result; the matching result obtaining submodule is used for obtaining an optimized matching result based on a preset operation method according to the at least one optimized matching sub-result; the optimized matching module further comprises: the basic optimization matching result acquisition submodule is used for carrying out optimization matching based on the non-network storage space according to the analyzed request content to obtain a basic optimization matching result; the perfection optimization matching result obtaining submodule is used for carrying out optimization matching based on the online network storage space according to the analyzed request content to obtain a perfection optimization matching result; the optimization matching result perfecting submodule is used for perfecting a basic optimization matching result according to the perfection optimization matching result so as to obtain an optimization matching result; the data packet generation module comprises: the data packet type analysis submodule is used for analyzing the data type of the breathing machine according to the request service data packet; the data packet parameter generating submodule is used for generating data parameters meeting the data type requirements according to the result of the optimized matching; and the service issuing data packet generating submodule is used for generating the service issuing data packet according to the data parameters.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9223902B1 (en) * | 2011-11-29 | 2015-12-29 | Amazon Technologies, Inc. | Architectures for content identification |
CN106453653A (en) * | 2016-11-29 | 2017-02-22 | 天津怡和嘉业医疗科技有限公司 | Method for monitoring ventilator through cloud platform and the cloud platform |
CN110176301A (en) * | 2019-05-20 | 2019-08-27 | 深圳融昕医疗科技有限公司 | Ventilator prescription delivery method, device, Cloud Server and ventilator |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120216811A1 (en) * | 2011-02-28 | 2012-08-30 | Nellcor Puritan Bennett Llc | Use of Multiple Spontaneous Breath Types To Promote Patient Ventilator Synchrony |
US20150182712A1 (en) * | 2013-12-30 | 2015-07-02 | Cerner Innovation, Inc. | Ventilator management |
CN104462854B (en) * | 2014-12-25 | 2017-12-05 | 上海理工大学 | ventilator information integrated processing system |
-
2020
- 2020-06-22 CN CN202010570701.4A patent/CN111739626B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9223902B1 (en) * | 2011-11-29 | 2015-12-29 | Amazon Technologies, Inc. | Architectures for content identification |
CN106453653A (en) * | 2016-11-29 | 2017-02-22 | 天津怡和嘉业医疗科技有限公司 | Method for monitoring ventilator through cloud platform and the cloud platform |
CN110176301A (en) * | 2019-05-20 | 2019-08-27 | 深圳融昕医疗科技有限公司 | Ventilator prescription delivery method, device, Cloud Server and ventilator |
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