CN111739626A - 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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- 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; 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; 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 issuing 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 content of the first and second substances,
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 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 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 data set { m1= (1 b1, 1b2,,,, 1 bn), m2= (2 b1, 2b2,,, 2 bn),,,,,, mt = (tb 1, tb2,,,,,, tbn) }in advance
Acquiring a data set (q 1, q2,,,, 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 used for configuring 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 set of matching result datasets { c1= (1 d1, 1d2,,,, 1 dn), c 2= (2 d1, 2d2,,, 2 dn),,,,,, c t = (td 1, td2,,,, tdn) }, where ct represents a single set of datasets of the set of matching result datasets, t or n each represents a natural number, dn represents a data element in the single set of datasets, each set of datasets c t is fitted to a function f (tdn), a dataset of request content is obtained (q 1, q2,,,,,, qn represents a data element in the dataset, the dataset of request content is fitted to a function f (qn), an integration amount of an integration function f-f (tdn) is calculated, and an integration amount of (tdn) of the smallest amount of the set of matching result dataset ct is selected as a perfect.
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 issued 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 a 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 sub-module 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 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.
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 the respirator based on the connecting channel;
s2, analyzing the data request information carried in the request service data packet based on the service data packet analyzing program;
s3, according to the analyzed request content, optimizing and matching based on the non-network storage space and the online network storage space;
s4, generating a service delivery data packet according to the result of the optimized matching;
s5 sending the service delivery packet to the ventilator based on a connection channel.
Before S2 analyzes the data request information carried in the service request packet based on the service 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 step of performing optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content by the step of S3 includes: 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 step of performing optimization matching based on the non-network storage space and the online network storage space according to the analyzed request content by the step of S3 includes:
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 performing optimization matching based on the non-network storage space to obtain a basic optimization matching result specifically includes,
the non-network storage space configures a matching result data set { m1= (1 b1, 1b2,,,, 1 bn), m2= (2 b1, 2b2,,, 2 bn),,,,,, mt = (tb 1, tb2,,,,,, tbn) }in advance
Acquiring a data set (q 1, q2,,,,, qn) qn of the requested content represents data elements in the data set, where mt represents a single group data set of the matching result data set group, t or n each represents a natural number, bn represents data elements in the single group data set, calculating matching parameters
（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; wherein the number of matching parameters substantially characterizes the closeness between the individual group datasets of the different result dataset groups and the dataset of the requested content, the closeness between the individual group dataset of the corresponding result dataset group and the dataset of the requested content being greatest when the number of matching parameters p is smallest, so that the group dataset of the corresponding dataset group having the smallest number of matching parameters p may be selectedAnd mt is used as a basic optimization matching result.
In S3, the optimizing and matching based on the online network storage space to obtain the perfect optimizing and matching result specifically includes,
the network storage space configures in advance a set of matching result datasets { c1= (1 d1, 1d2,,,, 1 dn), c 2= (2 d1, 2d2,,, 2 dn),,,,,, c t = (td 1, td2,,,, tdn) }, where ct represents a single set of datasets of the set of matching result datasets, t or n each represents a natural number, dn represents a data element in the single set of datasets, each set of datasets c t is fitted to a function f (tdn), a dataset of request content is obtained (q 1, q2,,,,, qn represents a data element in the dataset, the dataset of request content is fitted to a function f (qn), an integration amount of an integration function f-f (tdn) is calculated, and the set of integration results ct of the smallest amount is selected as an optimized set of matching results; in particular implementations, each set of data c t is fitted to a function f (tdn) or the requested content data set is fitted to a function f (qn) to characterize the non-linear relationship between the corresponding data sets, the fitting of the functions can be closer to the nature of the data characterization, the integral quantity of the functions f (qn) -f (tdn) can also substantially characterize the closeness between the individual sets of data of different sets of result data sets and the requested content data set, and when the integral quantity is minimum, the closeness between the individual sets of data of the corresponding set of result data sets and the requested content data set is maximum, so the set of data ct with the smallest integral quantity is selected as the 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 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 issued 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 a connecting channel.
In implementation, the ventilator control management system is preferably implemented by software, and certainly not limited to software, and any one of the modules may be implemented by software or a 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 type single chip microcomputer is configured at the end of the caller, 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 sub-module 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.
In an implementation, 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 and an image input device in the multimedia device, the single chip microcomputer executing 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 (10)
1. A breathing machine service method is applied to a control management system side and is characterized by comprising 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 issuing 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.
2. The method of claim 1, wherein before parsing the data request information carried in the service request packet based on a service packet parsing procedure, the method further comprises: 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: 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.
3. The method of claim 2, wherein the optimized matching based on the non-network storage space to obtain the basic optimized matching result is that the non-network storage space configures a matching result data set group { m1= (1 b1, 1b2,,,, 1 bn), m2= (2 b1, 2b2,, 2 bn),,,,,,,, mt = (tb 1, tb2,,,,,, tbn) } in advance to obtain the data set (q 1, q2,,,,,,,,,, qn) qn of the requested content, 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, the matching parameter number sigma (qn-tbn) 2= p is calculated, and a group data set mt which enables the matching parameter number p to be minimum in the matching result data set group is selected as a basic optimization matching result.
4. The method of claim 2, wherein the optimized matching based on the online network storage space to obtain the perfect optimized matching result is to configure a matching result data set group { c1= (1 d1, 1d2,,, 1 dn), c 2= (2 d1, 2d2,,, 2 dn),,,,,, c t = (td 1, td2,,,,, tdn) } in advance in the network storage space, wherein ct represents a single group data set of the matching result data set, t or n each represents a natural number, dn represents a data element in the single group data set, fit each group data set c t to a function f (tdn), obtain a data set of the request content (q 1, q2, q n) represents a data element in the data set, and fit the data set of the request content to a function f (qn), q (q) in the data set of the request content (q 1, q) in the network storage space, q2, q, and (4) calculating the integral quantity of the function f (qn) -f (tdn), and selecting a group of data sets ct with the minimum integral quantity as a perfect optimization matching result.
5. 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.
6. A breathing machine service method is applied to the side of a breathing machine, and is characterized by comprising 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 issued data packet.
7. 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; and the data packet sending module is used for sending the service delivery data packet to the breathing machine based on a connecting channel.
8. The control management system according to claim 7, characterized by further comprising: 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.
9. The control management system of claim 7, wherein 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; 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 sub-module 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.
10. 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.
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Citations (6)
| 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 |
| CN104462854A (en) * | 2014-12-25 | 2015-03-25 | 上海理工大学 | Breathing machine information integration processing system |
| US20150182712A1 (en) * | 2013-12-30 | 2015-07-02 | Cerner Innovation, Inc. | Ventilator management |
| 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 |
-
2020
- 2020-06-22 CN CN202010570701.4A patent/CN111739626B/en active Active
Patent Citations (6)
| 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 |
| US9223902B1 (en) * | 2011-11-29 | 2015-12-29 | Amazon Technologies, Inc. | Architectures for content identification |
| US20150182712A1 (en) * | 2013-12-30 | 2015-07-02 | Cerner Innovation, Inc. | Ventilator management |
| CN104462854A (en) * | 2014-12-25 | 2015-03-25 | 上海理工大学 | Breathing machine information integration processing system |
| 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 |
Non-Patent Citations (2)
| Title |
|---|
| 尹德军: "MJⅡ型双水平呼吸机系统的研究与开发", 《中国优秀硕士学位论文全文数据库（工程科技Ⅱ辑）》 * |
| 王伟等: "呼吸机运行状态监控系统的设计", 《中国医疗设备》 * |
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