CN107273705A - The determination of human body implantation type medical treatment device parameter, method to set up and equipment - Google Patents
The determination of human body implantation type medical treatment device parameter, method to set up and equipment Download PDFInfo
- Publication number
- CN107273705A CN107273705A CN201710611947.XA CN201710611947A CN107273705A CN 107273705 A CN107273705 A CN 107273705A CN 201710611947 A CN201710611947 A CN 201710611947A CN 107273705 A CN107273705 A CN 107273705A
- Authority
- CN
- China
- Prior art keywords
- characteristic information
- illness
- operational factor
- illness characteristic
- information
- 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.)
- Pending
Links
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The present invention provides a kind of human body implantation type medical treatment device parameter determination, method to set up and equipment, wherein the parameter determination method includes：Obtain the illness characteristic information of user；The illness characteristic information that prestores being consistent with the illness characteristic information is searched, wherein at least one set of operational factor of illness characteristic information association that prestores；According to the operational factor determination recommendation operational factor of prestore illness characteristic information and its association.The technical scheme provided according to the present invention sets the operational factor of human body implantation type medical treatment device, doctor's manpower intervention setting up procedure is not needed, the error for avoiding artificial experience from causing, and do not need user to go to specified place to be configured, and be that the purpose that operational factor is set automatically can be achieved by way of telecommunication, with higher efficiency.
Description
Technical field
The present invention relates to field of medical device, and in particular to human body implantation type medical treatment device parameter is determined, sets and fed back
Method and apparatus.
Background technology
Human body implantation type medical treatment device (Implantable Medical Device, IMD) is that one kind is installed on user's body
The medicine equipment in internal portion, this device interior has battery, and chip, sensor comes by the program and operational factor of setting
Corresponding therapy is realized, these operational factors can use according to the conditions of user and take different settings.Because user is sick
Cause, the state of an illness are differed, therefore the different interior implantable medical equipment installed of user's body, typically with different operation shapes
State, these running statuses are embodied in cell voltage, run time, power, the size of electric current, frequency of implantable medical device etc.
Many aspects.
IMD operational factors are a lot, and operational factor sets more complicated, for implantable medical equipment either with or without curative effect,
Whether the current operational factor of equipment is reasonable, is typically the micro-judgment by doctor.At present, IMD operational factors set-up mode is
Manually set by doctor, because the combination of operational factor is a lot, the process efficiency of artificial arrange parameter is very low, but also needs
Parameter setting could be realized by wanting user to go to the specified place such as hospital, clinic and the cooperation of doctor scene, it can be seen that existing IMD
Operational factor set-up mode is less efficient.
The content of the invention
Therefore, the present invention is to solve existing human body implantation type medical treatment device operational factor set-up mode is less efficient
The problem of.
In a first aspect, the invention provides a kind of human body implantation type medical treatment device parameter determination method, including：Obtain user
Illness characteristic information；The illness characteristic information that prestores being consistent with the illness characteristic information is searched, wherein the illness that prestores
At least one set of operational factor of characteristic information association；Determine to push away according to the operational factor of prestore illness characteristic information and its association
Recommend operational factor.
Preferably, the illness characteristic information for obtaining user, including：
Obtain the medication information of user；
Illness characteristic information is determined according to the medication information.
Preferably, the medication information includes medicament categories information and dosage information.
Preferably, it is described that illness characteristic information is determined according to the medication information, including：
The intake of the certain drug composition in predetermined time interval is determined according to the medication information；
The curve map of the intake of certain drug composition in generation predetermined time interval；
Determine the curvature feature of the curve map.
Preferably, the illness characteristic information for obtaining user, including：
Obtain the illness description information of user's input；
Illness characteristic information is determined according to the illness description information.
Preferably, the illness description information is preset selective item content, and the illness characteristic information is according to the predetermined choosing
The score value that item content is determined.
Preferably, the operational factor of illness characteristic information and its association of being prestored described in the basis determines to recommend operation ginseng
Number, including：
It regard the operational factor that prestores of prestore illness characteristic information and its association as the input number of machine learning model
According to using machine learning model calculating recommendation operational factor, the machine learning model is according to illness characteristic information sample
This and operational factor sample are trained what is obtained.
Second aspect, the invention provides a kind of electronic equipment, including：At least one processor and with described at least one
The memory of individual processor communication connection；Wherein, have can be by the finger of at least one computing device for the memory storage
Order, the instruction is by least one described computing device, so that the above-mentioned first aspect of at least one computing device is carried
The human body implantation type medical treatment device parameter determination method of confession.
The third aspect, the invention provides a kind of human body implantation type medical treatment device parameter setting method, including：Receive user
Illness characteristic information；The illness characteristic information is sent to server；The server is received according to the illness feature to be believed
Cease the recommendation operational factor of feedback；The recommendation operational factor is sent to the human body implantation type medical treatment device.
Fourth aspect, the invention provides a kind of terminal, it is characterised in that including：At least one processor and with institute
State the memory of at least one processor communication connection；Wherein, have can be by least one described processor for the memory storage
The instruction of execution, the instruction is by least one described computing device, so that at least one described computing device above-mentioned
The human body implantation type medical treatment device parameter setting method that three aspects are provided.
Determined according to the human body implantation type medical treatment device parameter that provides of the present invention, method to set up and equipment, by search with
What the illness characteristic information of active user was consistent prestore illness characteristic information, it may be determined that the fortune for the illness characteristic information that is adapted to prestore
Row parameter, thus reduces parameter range of choice, is then found out again in the operational factor of these illness characteristic informations of being adapted to prestore
It is adapted to the recommendation operational factor of the illness feature of active user, can be run the recommendation of determination by communication afterwards
Parameter is sent to IMD.The technical scheme provided according to the present invention sets IMD operational factor, it is only necessary to which it is special that user provides illness
Reference breath can obtain IMD and recommend operational factor, it is not necessary to doctor's manpower intervention setting up procedure, it is to avoid the mistake that artificial experience is caused
Difference, and do not need user to go to specified place to be configured, and by way of telecommunication be can be achieved operational factor from
The dynamic purpose set, with higher efficiency.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art
The accompanying drawing used required in embodiment or description of the prior art is briefly described, it should be apparent that, in describing below
Accompanying drawing is some embodiments of the present invention, for those of ordinary skill in the art, before creative work is not paid
Put, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 be the embodiment of the present invention in human body implantation type medical treatment device parameter determination method flow chart；
Fig. 2 be the embodiment of the present invention in human body implantation type medical treatment device parameter setting method timing diagram；
Fig. 3 is the human body implantation type medical treatment device parameter setting method that is performed by user's intelligent terminal in the embodiment of the present invention
Flow chart；
Fig. 4 is the flow of the human body implantation type medical treatment device parameter feedback method performed in the embodiment of the present invention by server
Figure.
Embodiment
Technical scheme is clearly and completely described below in conjunction with accompanying drawing, it is clear that described implementation
Example is a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill
The every other embodiment that personnel are obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
In the description of the invention, it is necessary to illustrate, unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " should be interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or be integrally connected；Can
To be mechanical connection or electrical connection；Can be joined directly together, can also be indirectly connected to by intermediary, can be with
It is the connection of two element internals, can is wireless connection or wired connection.For one of ordinary skill in the art
For, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.
As long as in addition, technical characteristic involved in invention described below different embodiments non-structure each other
It can just be combined with each other into conflict.
First embodiment of the invention provides a kind of human body implantation type medical treatment device parameter determination method, and this method can be moved
Terminal or server are performed, and the present embodiment is illustrated by taking brain pacemaker as an example to this method, as shown in figure 1, this method
Comprise the following steps：
S11, obtains the illness characteristic information of user, and illness characteristic information can be the general specification form letter in this area
Breath, is, for example, one or the component value determined according to unified Parkinson's disease rating scale (UPDRS)；It can also be a kind of statistics
Rule is learned, for example, one or a component value can be determined according to the medication type and dosage of patient.For by intelligent terminal (for example
Smart mobile phone, tablet personal computer, personal computer etc.) situation of this method is performed, intelligent terminal can be by the side of radio communication
Formula gathers IMD operational factor, and performs subsequent step by itself；Situation for performing this method by server, Ke Yixian
Operational factor is gathered by an intelligent terminal and IMD short-range communications, then the operational factor is sent to remote server.
S12, searches the illness characteristic information that prestores being consistent with the illness characteristic information, wherein the illness feature that prestores
Information association at least one set operational factor, this mode needs to prestore substantial amounts of illness spy in the equipment for performing this method
Reference is ceased and operational factor, and all User Status are covered as far as possible, so as to can be found during operation special with the current illness of user
The illness characteristic information that prestores of reference manner of breathing symbol.Simultaneously fractional error can also be allowed, namely to the judgement of " being consistent " not etc.
In " identical ", the illness that prestores characteristic information can be some number ranges, and current illness characteristic information falls in some illness that prestores
It can regard as being consistent in the range of characteristic information.
S13, determines to recommend operational factor, in step s 12, what is found prestores according to the illness characteristic information that prestores
The quantity of illness characteristic information can be one or more, and these illness characteristic informations that prestore can be respectively associated one or more groups of
Predetermined running parameter, this step can by certain algorithm calculate in real time determining to fit from the operational factor that prestores of association
The operational factor that prestores of family illness characteristic information is shared, identified recommendation operational factor can also be one or more here.
Such as operational factor can be the resistance value between IMD stimulating electrodes, in this step, can using electrode sequence number as
Coordinate draws multi-C vector, calculates distribution situation of multigroup resistance value prestored in multi-C vector space, will be distributed what is concentrated
Partial ohmic value is used as recommendation resistance value.
The human body implantation type medical treatment device parameter determination method provided according to embodiments of the present invention, by searching and current use
What the illness characteristic information at family was consistent prestore illness characteristic information, it may be determined that the operation ginseng for the illness characteristic information that is adapted to prestore
Number, thus reduces parameter range of choice, then again these illness characteristic informations of being adapted to prestore operational factor find out it is suitable
The recommendation operational factor of the illness feature of active user, afterwards can be by communication by the recommendation operational factor of determination
It is sent to IMD.The technical scheme provided according to the present invention sets IMD operational factor, it is only necessary to which user provides illness feature letter
Breath can obtain IMD and recommend operational factor, it is not necessary to doctor's manpower intervention setting up procedure, it is to avoid the error that artificial experience is caused,
And do not need user to go to specified place to be configured, and be that operational factor can be achieved to set automatically by way of telecommunication
The purpose put, with higher efficiency.
As a kind of optional embodiment, step S11 may include steps of：
S111a, obtain user medication information, an interactive interface can be provided a user, wherein need user according to
Medicament categories information and dosage information are filled in normative choice, for example medicament categories, medication several times on the one, each dose, treatment
Journey etc.；
S112a, illness characteristic information is determined according to the medication information, and illness characteristic information can be a certain in medicine
Plant the intake information of special component, or the further characteristic information gone out according to intake information analysis.
Further, step S112a can specifically include following steps：
S112a1, the intake of the certain drug composition in predetermined time interval is determined according to the medication information, for example
Collect patient in a period of time and take Madopar dose,equivalent；
The curve map of the intake of certain drug composition in S112a2, generation predetermined time interval；
S112a3, determines the curvature feature of the curve map.
Above-mentioned preferred real-time mode regard curvature feature as illness characteristic information, in step s 12, the illness feature prestored
Information is also curvature feature, it is possible thereby to compare these curvature features, so as to find closest to the curvature feature currently obtained
At least one curvature feature that prestores, and then recommendation operational factor is determined according to the operational factor of its association, above-mentioned preferred scheme will
Description to illness is converted to the bent curvature of a curve of medicine intake, and the result thereby determined that is more objective and accurate.
As another optional embodiment, step S11 may include steps of：
S111b, obtains the illness description information of user's input, description information can be natural word, voice of user etc.
Content or an interactive interface is provided, wherein needing user according to normative choice or filling in description to illness；
S112b, illness characteristic information is determined according to the illness description information, and the feelings of natural language are used for user
Condition, in addition it is also necessary to analyzed using semantic analysis technology the content that it is inputted and then determine effective content.As one preferably
Embodiment, the present embodiment is preferred to use the mode of given option, for example, can receive similar to Parkinson's unified score
Have in the data of scale, this form to various actions or the optional evaluation of symptom, and each option has corresponding point
Value, the selection thus according to user can count one or a component value, then regard this score value as illness characteristic information.
This preferred scheme amount of calculation is smaller, and the normal data that marking scales are verified typically by medical science, and this scheme is applicable
In the user that some have particular condition, the results contrast thereby determined that meets general medical practice and efficiency is higher.
As a kind of optional embodiment, step S13 can be specially：
To be prestored input data of the illness characteristic information as machine learning model, is calculated and recommended using machine learning model
Operational factor, machine learning model is trained and obtained according to illness characteristic information sample and operational factor sample.Machine
Learning model for example can be neural network model, it will be appreciated by those skilled in the art that using substantial amounts of sample data to one
Individual initial neural network model is trained, and the model can be made to have the function of intelligence computation result, and with training burden
Lifting can step up the accuracy of neural network model recognition result.
Specifically, the neutral net used in the present invention can by a large amount of known illness characteristic informations with
The operational factor known, which is trained, to be obtained.Assuming that having known illness characteristic information 1 ... illness characteristic information n, while also phase
Ground is answered to have optimal operating parameter 1 ... operational factor n corresponding with these illness characteristic informations, these known illness features letters
Breath and corresponding optimal operating parameter are training sample, it is necessary to using these sample datas to mould before with the present invention
Type is trained so that the recognition accuracy of model reaches predetermined condition, and then automatically determining recommendation using the model runs
Parameter.
Above-mentioned preferred scheme calculates recommendation operational factor in real time using artificial intelligence mode according to the illness characteristic information that prestores,
The program has higher accuracy.
Correspondingly, a kind of electronic equipment is also provided in the embodiment of the present invention, including：At least one processor, memory, place
Reason device, memory are connected by bus, and memory storage has can be by the instruction of at least one computing device, and the instruction is by institute
At least one computing device is stated, so that at least one described computing device human body implantation type medical treatment device as shown in Figure 1
Parameter determination method.
IMD operational factor is set using the electronic equipment, it is not necessary to doctor's manpower intervention setting up procedure, it is to avoid artificial
The error that experience is caused, and do not need user to go to specified place to be configured, and can be real by way of telecommunication
The purpose that existing operational factor is set automatically, with higher efficiency.
It is to lead to it will be understood by those skilled in the art that realizing all or part of flow in above-described embodiment method
Cross computer program to instruct the hardware of correlation to complete, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (ROM) or random access memory (RAM) etc..
Second embodiment of the invention provides a kind of human body implantation type medical treatment device parameter setting method, this method can by with
The own intelligent terminal in family and the server of operator, which coordinate, to be performed, as shown in Fig. 2 this method includes：
S21, the illness characteristic information of intelligent terminal for reception user, as above-mentioned embodiment is introduced, user can use
Various ways provide illness characteristic information.
S22, intelligent terminal sends illness characteristic information to server；
S23, server searches the illness characteristic information that prestores according to illness characteristic information, for details, reference can be made to first embodiment
Step S12；
S24, server determines recommendation operational factor according to the operational factor of prestore illness characteristic information and its association, specifically
Reference can be made to the step S13 of first embodiment；
S25, server is sent to intelligent terminal recommends operational factor.
S26, intelligent terminal is sent to IMD recommends operational factor, and the intelligent terminal that user has by oneself can be by bluetooth, wireless
The modes such as LAN are connected with IMD, identical with first embodiment, operational factor for example can include cell voltage, run time,
At least one in power, the size of electric current, frequency.
Introduced with reference to Fig. 3 in the present embodiment as the IMD parameter setting methods performed by intelligent terminal, as shown in Figure 3
This method comprises the following steps：
S31, receives the illness characteristic information of user；
S32, the illness characteristic information is sent to server；
S33, receives the recommendation operational factor that the server feeds back according to the illness characteristic information；
S34, sends to IMD and recommends operational factor.
Correspondingly, a kind of user terminal is also provided in the embodiment of the present invention, including：At least one processor, memory and
Communication module, processor, memory and communication module are connected by bus, and memory storage has can be by least one processor
The instruction of execution, the instruction is by least one described computing device, so that at least one described processor and communication module
Perform method as shown in Figure 3.
According to such scheme, the smart machine that user has by oneself only carries out obtaining user's illness information, send illness information and
The operation of operational factor is received, smart machine need not carry out arithmetic operation in itself, and determine to recommend fortune by remote server
Row parameter, is then sent to IMD, realizes the automatic setting of IMD parameters, and this has the data processing amount of equipment by oneself by user is reduced,
Cost is reduced, with higher efficiency and practicality.
Introduced with reference to Fig. 4 in second embodiment as the IMD parameter feedback methods performed by server, as shown in Figure 4
This method comprises the following steps：
S41, the illness characteristic information for the user that receiving terminal is sent；
S42, searches the illness characteristic information that prestores being consistent with the illness characteristic information；
S43, according to the operational factor determination recommendation operational factor of prestore illness characteristic information and its association；
S44, the recommendation operational factor is sent to the terminal.
Method provided in an embodiment of the present invention is the scheme for obtaining recommending operational factor indirectly, according to such scheme, clothes
Business device receives user and has the illness characteristic information that terminal is sent by oneself first, by searching the illness characteristic information phase with active user
The illness characteristic information that prestores of symbol, it may be determined that the operational factor for the illness characteristic information that is adapted to prestore, thus reduces parameter choosing
Scope is selected, then the illness feature of suitable active user is found out in the operational factor of these illness characteristic informations that are adapted to prestore again
Recommend operational factor, the recommendation operational factor of determination is sent into user by communication afterwards has terminal by oneself.According to
The technical scheme that the present invention is provided sets IMD operational factor, it is not necessary to doctor's manpower intervention setting up procedure, it is to avoid artificial experience
The error caused, and do not need user to go to specified place to be configured, and be that fortune can be achieved by way of radio communication
The purpose that row parameter is set automatically, with higher efficiency.
Correspondingly, a kind of server is also provided in the embodiment of the present invention, including：At least one processor, memory and logical
Believe module, processor, memory and communication module are connected by bus, and memory storage, which has, to be held by least one processor
Capable instruction, the instruction is by least one described computing device, so that at least one described processor and communication module are held
Row method as shown in Figure 4.
Obviously, above-described embodiment is only intended to clearly illustrate example, and the not restriction to embodiment.It is right
For those of ordinary skill in the art, can also make on the basis of the above description it is other it is various forms of change or
Change.There is no necessity and possibility to exhaust all the enbodiments.And the obvious change thus extended out or
Among changing still in the protection domain of the invention.
Claims (10)
1. a kind of human body implantation type medical treatment device parameter determination method, it is characterised in that including：
Obtain the illness characteristic information of user；
The illness characteristic information that prestores being consistent with the illness characteristic information is searched, wherein the illness characteristic information association that prestores
At least one set of operational factor；
According to the operational factor determination recommendation operational factor of prestore illness characteristic information and its association.
2. according to the method described in claim 1, it is characterised in that the illness characteristic information for obtaining user, including：
Obtain the medication information of user；
Illness characteristic information is determined according to the medication information.
3. method according to claim 2, it is characterised in that the medication information includes medicament categories information and dosage is believed
Breath.
4. method according to claim 2, it is characterised in that described to determine that illness feature is believed according to the medication information
Breath, including：
The intake of the certain drug composition in predetermined time interval is determined according to the medication information；
The curve map of the intake of certain drug composition in generation predetermined time interval；
Determine the curvature feature of the curve map.
5. according to the method described in claim 1, it is characterised in that the illness characteristic information for obtaining user, including：
Obtain the illness description information of user's input；
Illness characteristic information is determined according to the illness description information.
6. method according to claim 5, it is characterised in that the illness description information is preset selective item content, described
The score value that illness characteristic information is determined according to the preset selective item content.
7. according to the method described in claim 1, it is characterised in that the illness that prestored described in basis characteristic information and its association
Operational factor determine recommend operational factor, including：
It regard the operational factor that prestores of prestore illness characteristic information and its association as the input data of machine learning model, profit
Calculated with the machine learning model and recommend operational factor, the machine learning model is according to illness characteristic information sample and fortune
Row parameter sample is trained what is obtained.
8. a kind of electronic equipment, it is characterised in that including：At least one processor and with least one described processor communication
The memory of connection；Wherein, have can be by the instruction of at least one computing device, the instruction quilt for the memory storage
At least one described computing device, so that the people any one of at least one computing device claim 1-7
Body implantable medical device parameter determination method.
9. a kind of human body implantation type medical treatment device parameter setting method, it is characterised in that including：
Receive the illness characteristic information of user；
The illness characteristic information is sent to server；
Receive the recommendation operational factor that the server feeds back according to the illness characteristic information；
The recommendation operational factor is sent to the human body implantation type medical treatment device.
10. a kind of terminal, it is characterised in that including：At least one processor and with least one described processor communication connect
The memory connect；Wherein, have can be by the instruction of at least one computing device for the memory storage, and the instruction is by institute
At least one computing device is stated, so that the human body implantation type medical treatment described at least one described computing device claim 9
Device parameter method to set up.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710611947.XA CN107273705A (en) | 2017-07-25 | 2017-07-25 | The determination of human body implantation type medical treatment device parameter, method to set up and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710611947.XA CN107273705A (en) | 2017-07-25 | 2017-07-25 | The determination of human body implantation type medical treatment device parameter, method to set up and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107273705A true CN107273705A (en) | 2017-10-20 |
Family
ID=60079444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710611947.XA Pending CN107273705A (en) | 2017-07-25 | 2017-07-25 | The determination of human body implantation type medical treatment device parameter, method to set up and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107273705A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108133759A (en) * | 2018-01-16 | 2018-06-08 | 北京品驰医疗设备有限公司 | Human body implantation type medical treatment device parameter setting system |
| CN108234640A (en) * | 2017-12-29 | 2018-06-29 | 深圳开立生物医疗科技股份有限公司 | Ultrasound parameter optimization system and method |
| CN109358289A (en) * | 2018-09-27 | 2019-02-19 | 北京品驰医疗设备有限公司 | The battery life of active implantable medical equipment determines method and apparatus |
| CN110151135A (en) * | 2019-05-28 | 2019-08-23 | 北京品驰医疗设备有限公司 | Long-range stored program controlled with actual conversation analysis |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102308278A (en) * | 2009-02-04 | 2012-01-04 | 雅培糖尿病护理公司 | Multi-function analyte test device and methods therefor |
| CN103189101A (en) * | 2010-10-29 | 2013-07-03 | 美敦力公司 | Automatic personalization of parameter settings and algorithms in a medical device |
| CN105279362A (en) * | 2014-07-01 | 2016-01-27 | 迈克尔·L·谢尔登 | Personal health monitoring system |
| CN105496136A (en) * | 2015-12-10 | 2016-04-20 | 成都小爱未来智慧科技有限公司 | Information networking method for intelligent cup |
| CA2968645A1 (en) * | 2015-01-06 | 2016-07-14 | David Burton | Mobile wearable monitoring systems |
| CN105992552A (en) * | 2013-11-27 | 2016-10-05 | 美敦力公司 | Precision dialysis monitoring and synchonization system |
| CN106063701A (en) * | 2011-04-29 | 2016-11-02 | 美敦力公司 | Blood fluid removes the monitoring between treatment stage |
| CN106779084A (en) * | 2016-09-30 | 2017-05-31 | 广州英康唯尔互联网服务有限公司 | Machine learning system and method |
-
2017
- 2017-07-25 CN CN201710611947.XA patent/CN107273705A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102308278A (en) * | 2009-02-04 | 2012-01-04 | 雅培糖尿病护理公司 | Multi-function analyte test device and methods therefor |
| CN103189101A (en) * | 2010-10-29 | 2013-07-03 | 美敦力公司 | Automatic personalization of parameter settings and algorithms in a medical device |
| CN106063701A (en) * | 2011-04-29 | 2016-11-02 | 美敦力公司 | Blood fluid removes the monitoring between treatment stage |
| CN105992552A (en) * | 2013-11-27 | 2016-10-05 | 美敦力公司 | Precision dialysis monitoring and synchonization system |
| CN105279362A (en) * | 2014-07-01 | 2016-01-27 | 迈克尔·L·谢尔登 | Personal health monitoring system |
| CA2968645A1 (en) * | 2015-01-06 | 2016-07-14 | David Burton | Mobile wearable monitoring systems |
| CN105496136A (en) * | 2015-12-10 | 2016-04-20 | 成都小爱未来智慧科技有限公司 | Information networking method for intelligent cup |
| CN106779084A (en) * | 2016-09-30 | 2017-05-31 | 广州英康唯尔互联网服务有限公司 | Machine learning system and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108234640A (en) * | 2017-12-29 | 2018-06-29 | 深圳开立生物医疗科技股份有限公司 | Ultrasound parameter optimization system and method |
| WO2019128774A1 (en) * | 2017-12-29 | 2019-07-04 | 深圳开立生物医疗科技股份有限公司 | Ultrasound parameter optimization system and method |
| CN108133759A (en) * | 2018-01-16 | 2018-06-08 | 北京品驰医疗设备有限公司 | Human body implantation type medical treatment device parameter setting system |
| CN109358289A (en) * | 2018-09-27 | 2019-02-19 | 北京品驰医疗设备有限公司 | The battery life of active implantable medical equipment determines method and apparatus |
| CN109358289B (en) * | 2018-09-27 | 2021-01-01 | 北京品驰医疗设备有限公司 | Method and apparatus for determining battery life of active implanted medical device |
| CN110151135A (en) * | 2019-05-28 | 2019-08-23 | 北京品驰医疗设备有限公司 | Long-range stored program controlled with actual conversation analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107273705A (en) | The determination of human body implantation type medical treatment device parameter, method to set up and equipment | |
| US9959388B2 (en) | Systems, devices, and methods for providing electrical stimulation therapy feedback | |
| US20170157410A1 (en) | Systems and methods for sharing therapy paradigms in a neuromodulation system | |
| CN101485569B (en) | Traditional Chinese medicine multifunctional intelligent diagnostic apparatus based on self-adapting fuzzy logic | |
| CN107809949A (en) | For measuring the electronic equipment and its operating method of the information relevant with human body | |
| CN102089031A (en) | Associating therapy adjustments with patient posture states | |
| CN103655164A (en) | Multiplexed-output-supporting evidence-based acupuncture and moxibustion acupoint treatment and detecting instrument and using method thereof | |
| CN108133759A (en) | Human body implantation type medical treatment device parameter setting system | |
| CN108198603A (en) | A kind of nutrition dietary based on personal physical examination information recommends method | |
| CN110827953A (en) | Cognitive memory training evaluation system and method based on VR and storage medium | |
| CN105581904A (en) | Intelligent acupuncture system | |
| CN109524083A (en) | Based on the rational method of medical big data monitoring adjuvant drug and Related product | |
| Tan et al. | Short paper: Using BSN for tele-health application in upper limb rehabilitation | |
| US20170212913A1 (en) | Mri database and mechanism for searching | |
| CN112164477A (en) | Intelligent question-answering system for hypertension patient based on knowledge graph and establishing method thereof | |
| CN110458594A (en) | A kind of network surveying questionnaire generation method and device based on user's weight | |
| CN109785944A (en) | Hospital evaluation method and Related product based on data analysis | |
| US20220370802A1 (en) | Stimulation devices, systems, and methods | |
| CN113856040A (en) | Implantable neural stimulator and implantable neural stimulation system | |
| CN109961018A (en) | Electroencephalogramsignal signal analysis method, system and terminal device | |
| CN115501481A (en) | Emergency program control equipment, medical system and computer readable storage medium | |
| US11903679B2 (en) | Artificial intelligence-based robotic system for physical therapy | |
| CN109492885B (en) | Medical insurance risk project analysis method and device, terminal and readable medium | |
| CN106682395A (en) | Health promotion system and health promotion method | |
| CN116504349B (en) | Beauty instrument nursing report generation and display method, storage medium and electronic equipment |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171020 |