CN108320795A - By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level - Google Patents
By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level Download PDFInfo
- Publication number
- CN108320795A CN108320795A CN201810107149.8A CN201810107149A CN108320795A CN 108320795 A CN108320795 A CN 108320795A CN 201810107149 A CN201810107149 A CN 201810107149A CN 108320795 A CN108320795 A CN 108320795A
- Authority
- CN
- China
- Prior art keywords
- sign data
- scale
- data
- questionnaire
- sign
- 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
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
Abstract
The present invention relates to a kind of by monitoring sign data to the system for assessing state of mind Scale and questionnaire confidence level, including service server, sign data acquisition watch, intelligent mobile terminal.The invention further relates to a kind of methods for being realized based on the system and passing through and monitoring sign data to assess state of mind Scale and questionnaire confidence level.This kind is used by monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level, service server is according to preset algorithm and decision, judge the confidence level of the secondary scale results, it is automatically continued to optimize using sign data distributed model, the accuracy rate for carrying out reliability assessment subsequently through this model is set to improve, solves the confidence level of the long-range scale results for judging to submit, be conducive to improve medical evaluation accuracy to measured according to test result, and system architecture is simple and practical, processing procedure and algorithm are simple and fast, algorithm performs efficiency is higher, stable and reliable working performance, the scope of application is relatively broad.
Description
Technical field
The present invention relates to data acquisition and process fields, more particularly to state of mind Scale and questionnaire process and credible result degree
Assessment and processing technology field, in particular to one kind assessing state of mind Scale and questionnaire confidence level by monitoring sign data
System and method.
Background technology
With social progress and development, depression, anxiety disorder, it is manic card, to consume illegal drugs the substance depilatory for representative
Equal mental diseases are increasingly paid attention to by entire society.Due to the particularity of mental disease, the personnel of mental disease are suffered from
(hereinafter referred to as measured) needs to receive the psychiatric department therapeutic treatment of profession, and needs periodically to carry out spiritual shape over the course for the treatment of
State Scale and questionnaire (hereinafter referred to as Scale and questionnaire)；It can quantify the current mental status of measured by Scale and questionnaire, doctor can be by
This, which makes, diagnoses accordingly and provides suitable therapeutic scheme.
In traditional business model, it is that psychiatric department medical practitioner and measured are face-to-face, scale is recorded by paper material
Topic is tested, these topics are typically all to have the multiple-choice question of set answer (not have model answer, each set answer is according to test
Direction and item content correspond to fixed score value), after being seen problem on paper material by measured or listened doctor's problem, with quilt
Survey person's subjective consciousness makes a choice.Doctor is after entire Scale and questionnaire, according to every multiple-choice question answer of measured's offer
Score value is calculated, and according to corresponding theory of medicine and Principle of Statistics, is diagnosed to be the current mental status of measured and conjunction is provided
Suitable therapeutic scheme.
Current way is to migrate traditional business toward the new Information Technology Methods such as internet, mobile Internet, in conjunction with
Electronic remote medical treatment and long-range Scale and questionnaire means support measured no longer to carry out Scale and questionnaire and subsequent face-to-face with doctor
Business is changed to the interaction of asynchronous, long-range non-face-to-face formula, realizes long-range, automation scale results collection, calculating, system
The follow-up business links such as meter, analysis greatly increase measured's Scale and questionnaire process, doctor is directed to each ring that measured provides
The efficiency of section business.
The defect of present practice：Under the Scale and questionnaire state of non-face-to-face, doctor can not directly by measured's expression,
The confidence level of Scale and questionnaire data acquired in the factors assessments such as action, sign data.Measured's mental status well or not
Scale and questionnaire is carried out in the case of stabilization and obtains relevant test result, and confidence level difference can not be assessed and be distinguished.
With the development of mobile Internet in recent years, the speed-raising and upgrading of cordless communication network and data network, consumption
Electronic product makes rapid progress and more modular sensors occurs, makes through dedicated sign data collecting device in quilt
During survey person carries out Scale and questionnaire, sign data and the integrative medicine theory and Principle of Statistics of monitored over time measured, with
This reliability assessment means as measured's scale results.
Invention content
The purpose of the present invention is overcome it is above-mentioned in the prior art the shortcomings that, accurate objective comment can be realized by providing one kind
Estimate, system architecture is simple and practical, processing procedure is simple and fast, stable and reliable working performance, the scope of application is relatively broad passes through
Sign data is monitored to assess the system and method for state of mind Scale and questionnaire confidence level.
In order to achieve the above purpose, it is of the invention by monitor sign data can to assess state of mind Scale and questionnaire
The system and method for reliability is as follows：
This, to the system for assessing state of mind Scale and questionnaire confidence level, is mainly characterized by by monitoring sign data,
The system includes：
Service server, to carry the flow chart of data processing of state of mind Scale and questionnaire and store associated traffic data,
By carrying out analyzing processing to related data, the data analysis report for medical usage is formed；
Sign data acquires watch, to carry out sign data acquisition, during measured carries out Scale and questionnaire, will adopt
The measured's sign data collected is transferred to preset designated equipment；
Intelligent mobile terminal is connected with the service server and sign data acquisition watch, to carry out essence
Refreshing state evaluation and test operation and data transmission, and data interaction is carried out with the sign data acquisition watch, and automatically by scale
It test data and the collected sign data of watch is acquired by the sign data is aggregated into the service server.
Sign data in the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data is adopted
Collection watch is built-in with sensor, and persistently obtains sign data by the sensor and be transmitted to the intelligent mobile end
End.
Sign data packet in the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data
Include blood pressure, pulse, heart rate, electrocardiogram.
Intelligent mobile in the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data is whole
End includes：
Terminal side service module, to provide interaction during Scale and questionnaire, according to test branch and measurement direction
Difference provides different logic steps and provides corresponding information to user and feeds back；
Interface display module is connected with the terminal side service module, described to be shown in human-computer interaction
Scale and questionnaire service interaction flow.
Service server in the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data
To the carrier as carrying assessment state of mind Scale and questionnaire business and data processing, received from the intelligent mobile terminal
The Scale and questionnaire data of measured, and received during measured carries out Scale and questionnaire from the sign data acquisition watch
The sign data of acquisition is based on theory of medicine and Principle of Statistics, and the visualization of big data statistical analysis is carried out to related data
It presents.
In the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data, used in measured
Intelligent mobile terminal carry out Scale and questionnaire to measure its current state of mind during, the service server according to
The original sign data of the measured establishes sign data distributed model, and in subsequent continuous test process, according to default
Optimization algorithm the model is optimized, and be continuously increased the data radix sample total of distributed model, reject fluctuating range
Larger maximum value and minimum value, to optimize the convergence range of data model；
The optimization algorithm is specially：
During rejecting follow-up Scale and questionnaire every time, the collected total amount of data for accounting for sign data is less than or equal to system
The maximum sign data part of numerical value of preset maximum value percentage, and account for sign data total amount of data be less than or equal to be
Unite preset minimum value percentage numerical value minimum sign data part, and remaining sign data after calculating is incorporated to calculating
The total data sample radix of model.
In the system for assessing state of mind Scale and questionnaire confidence level by monitoring sign data, work as service server
When being collected into the Scale and questionnaire data of measured, examine whether the sign data of the measured obtained is located by distributed model first
Think in believable convergence region in model, if so, thinking that sign data belongs to normal range (NR), Scale and questionnaire data are credible；
If not, then it is assumed that sign data is not belonging to normal range (NR), and Scale and questionnaire data are insincere.
This, which realizes to pass through based on above-mentioned system, monitors sign data to assess state of mind Scale and questionnaire confidence level
Method is mainly characterized by, and the method includes the following steps：
(1) measured completes sign by the intelligent mobile terminal, and in conjunction with the sign data acquisition watch
Data acquire and the submission of scale results is handled；
(2) service server described in models the sign data of acquisition and assesses at the confidence level of scale results
Reason.
The realization is by monitoring the step (1) in method of the sign data to assess state of mind Scale and questionnaire confidence level
Include the following steps：
(11) system into corresponding terminal side service module and carries out Scale and questionnaire flow according to the operation of measured；
(12) intelligent mobile terminal described in establishes data connection with sign data acquisition watch, and the sign data is adopted
Collection watch starts the sign data of continuous collecting measured and is sent to the intelligent mobile terminal；
(13) intelligent mobile terminal will complete the relevant logic branch of Scale and questionnaire in carrying out Scale and questionnaire interactive process
And testing procedure, and give the corresponding information feedback of measured and prompt by different condition；Meanwhile the intelligent mobile terminal
Constantly sign data is got from sign data acquisition watch and store or be sent directly to service server；
(14) circulation continuous carries out above-mentioned steps (13), until Scale and questionnaire service interaction flow terminates；
(15) intelligent mobile terminal terminates Scale and questionnaire business, simultaneously closes off the data company that watch is acquired with sign data
It connects, sign data acquisition watch is made to enter dormant state or shutdown；
(16) a variety of data such as scale results and sign data are submitted to business service by intelligent mobile terminal respectively
Device.
The realization is by monitoring the step (2) in method of the sign data to assess state of mind Scale and questionnaire confidence level
Include the following steps：
(21) intelligent mobile terminal carries out Scale and questionnaire, it is desirable that service server is that current measured establishes sign data point
Cloth model；
(22) service server sign data total amount of last time before is that radix is established and initializes sign data
Distributed model；
(23) it after intelligent mobile terminal completes Scale and questionnaire, submits when time sign data set, scale results to industry
Business server；
(24) service server pre-processes the sign data set obtained in above-mentioned steps (23), and rejecting is subsequently worked as
In secondary scale test process, the maximum value percentage less than or equal to systemic presupposition of the collected total amount of data for accounting for sign data
The maximum sign data part of numerical value, and account for the minimum value percentage less than or equal to systemic presupposition of sign data total amount of data
Remaining sign data set after the pretreatment is used sign data distributed model by the sign data part of the numerical value minimum of ratio；
(25) if the quantity of remaining sign data percentage shared in the total amount of data of sign data be more than or
Equal to the percentage threshold of systemic presupposition, and the remaining sign data is in distributed model, then is considered as credible；If it is not,
Then it is considered as insincere；
(26) the sample base of sign data distributed model is added in remaining sign data after pre-processing above-mentioned steps (24)
Number, as the total sample for modeling and initializing next time in a manner of accumulative.
Use the invention by monitor sign data to assess state of mind Scale and questionnaire confidence level system and
Method, since measured is when intelligent mobile terminal carries out Scale and questionnaire, intelligent mobile terminal can be acquired with sign data
Watch connects, and sign data acquisition watch keeps working condition during entire Scale and questionnaire, and to intelligent mobile terminal
The every sign data for reporting current measured, by intelligent mobile terminal at the end of Scale and questionnaire, by scale results and
Sign data is reported to service server together, and service server judges the secondary Scale and questionnaire according to preset algorithm and decision
As a result confidence level.Because service server constantly can get sign data from each Scale and questionnaire, sign number is utilized
Automatically continued to optimize according to distributed model, the interval of convergence constantly can be reduced and be become stable, to make subsequently through this model into
The accuracy rate of row reliability assessment is continuously improved.To solve doctor remotely judge measured submit scale results can
Reliability is conducive to improve medical evaluation accuracy to measured according to test result, and system architecture is simple and practical, processes
Journey and algorithm are simple and fast, and algorithm performs efficiency is higher, stable and reliable working performance, and the scope of application is relatively broad.
Description of the drawings
Fig. 1 assesses the whole of the system of state of mind Scale and questionnaire confidence level for the present invention by monitoring sign data
Body running procedural order figure.
Fig. 2 is method of the realization of the present invention by monitoring sign data to assess state of mind Scale and questionnaire confidence level
In Scale and questionnaire and sign data acquisition process flow chart.
Fig. 3 is method of the realization of the present invention by monitoring sign data to assess state of mind Scale and questionnaire confidence level
In sign data distributed model optimization process flow figure.
Specific implementation mode
In order to be more clearly understood that the technology contents of the present invention, spy are lifted following embodiment and are described in detail.
Refering to Figure 1, the system that state of mind Scale and questionnaire confidence level should be assessed by monitoring sign data,
Wherein the system includes：
(1) service server, to carry the flow chart of data processing of state of mind Scale and questionnaire and store related service number
According to by related data progress analyzing processing, forming the data analysis report for medical usage；
(2) sign data acquires watch, to carry out sign data acquisition, during measured carries out Scale and questionnaire,
Collected measured's sign data is transferred to preset designated equipment；Sign data acquisition watch is built-in with sensor,
And sign data is persistently obtained by the sensor and is transmitted to the intelligent mobile terminal, it should be by monitoring sign number
Include blood pressure, pulse, heart rate, electrocardiogram according to the sign data in the system to assess state of mind Scale and questionnaire confidence level；
(3) intelligent mobile terminal is connected with the service server and sign data acquisition watch, to carry out
State of mind evaluation and test operation and data transmission, and data interaction is carried out with the sign data acquisition watch, and automatically will amount
It table test data and the collected sign data of watch is acquired by the sign data is aggregated into the service server；The intelligence
Can mobile terminal include：
(a) terminal side service module, to provide interaction during Scale and questionnaire, according to test branch and measurement direction
Difference, different logic steps is provided and provides corresponding information to user and is fed back；
(b) interface display module is connected with the terminal side service module, described in the display in human-computer interaction
Scale and questionnaire service interaction flow.
Wherein, the service server is to as carrying assessment state of mind Scale and questionnaire business and data processing
Carrier receives the Scale and questionnaire data of measured from the intelligent mobile terminal, and acquires watch from the sign data
The sign data acquired during measured carries out Scale and questionnaire is received, theory of medicine and Principle of Statistics are based on, to correlation
The visualization that data carry out big data statistical analysis is presented.
Meanwhile the mistake of its current state of mind is measured using intelligent mobile terminal progress Scale and questionnaire in measured
Cheng Zhong, the service server establish sign data distributed model according to the original sign data of the measured, and follow-up
Continuous test process in, the model is optimized according to preset optimization algorithm, and be continuously increased the data of distributed model
Radix sample total rejects fluctuating range larger maximum value and minimum value, to optimize the convergence range of data model；
The optimization algorithm is specially：
During rejecting follow-up Scale and questionnaire every time, the collected total amount of data for accounting for sign data is less than or equal to system
The maximum sign data part of numerical value of preset maximum value percentage, and account for sign data total amount of data be less than or equal to be
Unite preset minimum value percentage numerical value minimum sign data part, and remaining sign data after calculating is incorporated to calculating
The total data sample radix of model.
It is first when service server is collected into the Scale and questionnaire data of measured as the specific implementation mode of the present invention
It first passes through distributed model and examines whether the sign data of the measured obtained is thought in model in believable convergence region, if
It is, then it is assumed that sign data belongs to normal range (NR), and Scale and questionnaire data are credible；If not, then it is assumed that sign data is not belonging to normally
Range, Scale and questionnaire data are insincere.
It please refers to again shown in Fig. 2 and Fig. 3, should be realized based on above-mentioned system and pass through monitoring sign data to assess spirit
The method of state Scale and questionnaire confidence level, including following steps：
(1) measured completes sign by the intelligent mobile terminal, and in conjunction with the sign data acquisition watch
Data acquire and the submission of scale results is handled；Specifically include following steps：
(11) system into corresponding terminal side service module and carries out Scale and questionnaire flow according to the operation of measured；
(12) intelligent mobile terminal described in establishes data connection with sign data acquisition watch, and the sign data is adopted
Collection watch starts the sign data of continuous collecting measured and is sent to the intelligent mobile terminal；
(13) intelligent mobile terminal will complete the relevant logic branch of Scale and questionnaire in carrying out Scale and questionnaire interactive process
And testing procedure, and give the corresponding information feedback of measured and prompt by different condition；Meanwhile the intelligent mobile terminal
Constantly sign data is got from sign data acquisition watch and store or be sent directly to service server；
(14) circulation continuous carries out above-mentioned steps (13), until Scale and questionnaire service interaction flow terminates；
(15) intelligent mobile terminal terminates Scale and questionnaire business, simultaneously closes off the data company that watch is acquired with sign data
It connects, sign data acquisition watch is made to enter dormant state or shutdown；
(16) a variety of data such as scale results and sign data are submitted to business service by intelligent mobile terminal respectively
Device；
(2) service server described in models the sign data of acquisition and assesses at the confidence level of scale results
Reason, includes the following steps：
(21) intelligent mobile terminal carries out Scale and questionnaire, it is desirable that service server is that current measured establishes sign data point
Cloth model；
(22) service server sign data total amount of last time before is that radix is established and initializes sign data
Distributed model；
(23) it after intelligent mobile terminal completes Scale and questionnaire, submits when time sign data set, scale results to industry
Business server；
(24) service server pre-processes the sign data set obtained in above-mentioned steps (23), and rejecting is subsequently worked as
In secondary scale test process, the maximum value percentage less than or equal to systemic presupposition of the collected total amount of data for accounting for sign data
The maximum sign data part of numerical value, and account for the minimum value percentage less than or equal to systemic presupposition of sign data total amount of data
Remaining sign data set after the pretreatment is used sign data distributed model by the sign data part of the numerical value minimum of ratio；
(25) if the quantity of remaining sign data percentage shared in the total amount of data of sign data be more than or
Equal to the percentage threshold of systemic presupposition, and the remaining sign data is in distributed model, then is considered as credible；If it is not,
Then it is considered as insincere.
(26) the sample base of sign data distributed model is added in remaining sign data after pre-processing above-mentioned steps (24)
Number, as the total sample for modeling and initializing next time in a manner of accumulative.
In actual use, the present invention by monitoring sign data assessing state of mind Scale and questionnaire confidence level
System and method, including：
Service server, flow chart of data processing for carrying state of mind Scale and questionnaire simultaneously store associated traffic data,
By carrying out analyzing processing to related data, the data analysis report for medical usage is ultimately formed.
The sign data acquisition watch (lower referred to as watch) of customization, for carrying out sign data acquisition, in measured
During carrying out Scale and questionnaire, collected measured's sign data is transferred to designated equipment.
The intelligent mobile terminal (lower referred to as terminal) of customization, passes for carrying out state of mind evaluation and test operation and data
It is defeated, data interaction can be carried out with watch, and be aggregated into automatically by Scale and questionnaire data and by the collected sign data of watch
Service server.
The watch is used to be worn on the wrist of measured, provides power supply by internal battery, is obtained by sensor
It takes sign data (including but not limited to blood pressure, pulse, heart rate, electrocardiogram etc.) and data is supported externally to transmit.Watch exists on demand
Continued during Scale and questionnaire (including but not limited to using the test scales such as PHQ-9/GAD-7/FTND/AUDIT)
Data acquisition and transmission process.
The terminal includes terminal side service module, interface display module, wherein：
The terminal side service module (including but not limited to uses the test volumes such as PHQ-9/GAD-7/FTND/AUDIT
Table), for providing interaction during Scale and questionnaire, according to the difference of test branch and measurement direction, provide different patrol
It collects step and provides corresponding information to user and feed back, be a series of set of Scale and questionnaire service interaction flows.
The interface display module, for showing the Scale and questionnaire service interaction flow in human-computer interaction.
The service server as carrying assessment state of mind Scale and questionnaire business and data processing carrier (including
But it is not limited to establish credibility model and carries out Continuous optimization), the Scale and questionnaire data for receiving measured from terminal, from wrist
Table receives the sign data acquired during measured carries out Scale and questionnaire, by theory of medicine and Principle of Statistics, to this
The visualization that the involved system of invention and related data carry out big data statistical analysis is presented.
When measured needs to carry out Scale and questionnaire to measure its current state of mind, measured needs to wear wrist
Table, while needing the operating interactive flow of using terminal progress Scale and questionnaire.In the Scale and questionnaire mistake that entire using terminal carries out
Cheng Zhong, watch is by the sign data of whole acquisition measured and is transferred to designated equipment (including but not limited to terminal or service
Device).
When measured's using terminal carries out Scale and questionnaire to measure its current state of mind, service server can root
Sign data distributed model is established according to the original sign data of the measured, and in subsequent continuous test process, according to pre-
If algorithm the model is optimized it is (collected to account for body during including but not limited to rejecting follow-up Scale and questionnaire every time
The total amount of data for levying data is the maximum value less than or equal to m%, and it is most less than or equal to n% to account for sign data total amount of data
Small value, and remaining sign data after calculating is incorporated to the total data sample radix of computation model).It is continuously increased by this method
The data radix sample total of distributed model rejects fluctuating range larger maximum value and minimum value, to optimize data model
Convergence range.
When service server is collected into the Scale and questionnaire data of measured, the quilt obtained is examined by distributed model first
Whether the sign data of survey person is thought in model in believable convergence region, if so, thinking that sign data belongs to normal model
It encloses, Scale and questionnaire data are credible；If not, then it is assumed that sign data is not belonging to normal range (NR), and Scale and questionnaire data are insincere.
As the specific implementation mode of the present invention, in the overall process that measured carries out Scale and questionnaire, continued by watch
The sign data (include but not limited to blood pressure, pulse, heart rate, electrocardiogram etc.) that monitoring measured specifies incessantly, and by phase
It (includes but not limited to bluetooth, WIFI and the data network of operator to close the wireless data channel that data are supported by watch ontology
Etc. data channel), be transferred in the information system that doctor uses.
The information system that doctor uses combines corresponding Principle of Statistics (including but not limited to normal distribution etc.), in order to subtract
Few error simultaneously filters the excessive data of hopping amplitude, and it is the maximum less than or equal to m% to need rejecting to account for sign data total amount of data
It is the minimum value less than or equal to n% to be worth and account for sign data total amount of data, and two total hopping amplitudes for rejecting (m+n) % are larger
Data, the data of remaining (100- (m+n)) % are as valid data and the accumulative modeling process that next distributed model is added
(radix as modeling next time).The maximum value of the m% of foregoing description, the minimum value of n%, inner m and n are variable empirical value,
Concrete numerical value can dynamically change according to different measurement directions, theory of medicine or Principle of Statistics.
In acquisition measured's sign data for the first time, by according to above-mentioned 2 principle, with the data of the last distributed model
Total amount is as valid data and establishes initialization model；It, will be constantly with each collected (m+ in subsequent gatherer process
N) initialization model is added in the valid data of %, and it is new distributed model so that it is constantly updated iteration, and in acquire next time
As initialization model.
After single Scale and questionnaire, the collected sign data numerical value set of watch will be covered used in above-mentioned distributed mode
In type；If the x% of sign data value set meet distributed model (x% when time collected sign data total amount percentage,
Such as 85%), then collected sign data is considered as normal data, indicates that the mental status of measured in this gatherer process is good
It is good, it is credible that the scale results that measured is done are assessed with this.Otherwise, if because the x% of sign data value set is not met
Collected sign data is then considered as abnormal data by distributed model, indicates that the mental status of measured may be because excitement, feelings
The factors such as thread is unstable and cause scale results insincere.
By taking a doctor assesses the Scale and questionnaire confidence level that a measured submits as an example：
(1) it please refers to Fig.1 with shown in Fig. 2, measured needs using terminal, and sign data acquisition and amount are completed in conjunction with watch
The submission of table test result：
Step 1：Wear watch；
Step 2：Measured enters corresponding terminal side service module and carries out Scale and questionnaire flow；
Step 3：Terminal establishes data connection (watch is waken up or is switched on) with watch, and watch starts continuous collecting measured
Sign data and be sent to terminal；
Step 4：Terminal will complete the relevant logic branch of Scale and questionnaire and test in carrying out Scale and questionnaire interactive process
Step, and give the corresponding information feedback of measured and prompt by different condition.Meanwhile terminal constantly gets sign from watch
Data simultaneously store or are sent directly to service server.This step executes circulation continuous, until Scale and questionnaire service interaction stream
Until journey terminates；
Step 5：Terminal terminates Scale and questionnaire business, simultaneously closes off the data connection with watch, and watch is made to enter suspend mode shape
State or shutdown；
Step 6：After the completion of above-mentioned steps, a variety of data such as scale results and sign data are submitted to by terminal respectively
Service server.
(2) it please refers to Fig.1 with shown in Fig. 3, service server models (and Continuous optimization model) to the sign data of acquisition
And assess the confidence level of scale results：
Step 1：Terminal will carry out Scale and questionnaire, it is desirable that service server is that current measured establishes sign data distributed mode
Type；
Step 2：Service server sign data total amount of last time before is that radix is established and initializes sign number
According to distributed model；
Step 3：After terminal completes Scale and questionnaire, submit when time sign data set, scale results to business service
Device；
Step 4：The sign data set that service server obtains above-mentioned steps 3 pre-processes, and rejects subsequently when secondary
During Scale and questionnaire, the collected total amount of data for accounting for sign data is the maximum value less than or equal to m%, and accounts for sign number
It is the minimum value less than or equal to n% according to total amount of data, remaining sign data set after the pretreatment is used into sign data distribution
Model.If the percentage of the remaining sign data is in more than or equal to x% in distributed model, it is considered as credible；If it is not, then
It is considered as insincere；
Step 5：The sample radix of sign data distributed model is added in remaining sign data after step 4 is pre-processed, with
Accumulative mode is as the total sample for modeling and initializing next time.
It uses above-mentioned by monitoring sign data assessing system and the side of state of mind Scale and questionnaire confidence level
Method, since measured is when terminal carries out Scale and questionnaire, terminal can be connect with watch, and watch is in entire Scale and questionnaire process
In keep working condition, and every sign data of current measured is reported to terminal, by terminal at the end of Scale and questionnaire,
Scale results and sign data are reported into service server together, service server according to preset algorithm and decision,
Judge the confidence level of the secondary scale results.Because service server constantly can get sign from each Scale and questionnaire
Data are automatically continued to optimize using sign data distributed model, and the interval of convergence constantly can be reduced and be become stable, after making
The continuous accuracy rate that reliability assessment is carried out by this model is continuously improved.To solve the amount that doctor remotely judges measured's submission
The confidence level of table test result is conducive to improve medical evaluation accuracy, and system architecture to measured according to test result
Simple and practical, processing procedure and algorithm are simple and fast, and algorithm performs efficiency is higher, stable and reliable working performance, the scope of application compared with
It is extensive.
In this description, the present invention is described with reference to its specific embodiment.But it is clear that can still make
Various modifications and alterations are without departing from the spirit and scope of the invention.Therefore, the description and the appended drawings should be considered as illustrative
And not restrictive.
Claims (10)
1. a kind of system by monitoring sign data to assess state of mind Scale and questionnaire confidence level, which is characterized in that institute
The system stated includes：
Service server passes through to carry the flow chart of data processing of state of mind Scale and questionnaire and store associated traffic data
Analyzing processing is carried out to related data, forms the data analysis report for medical usage；
Sign data acquires watch, to carry out sign data acquisition, during measured carries out Scale and questionnaire, will collect
Measured's sign data be transferred to preset designated equipment；
Intelligent mobile terminal is connected with the service server and sign data acquisition watch, to carry out spiritual shape
State evaluation and test operation and data transmission, and data interaction is carried out with the sign data acquisition watch, and automatically by Scale and questionnaire
It data and the collected sign data of watch is acquired by the sign data is aggregated into the service server.
2. according to claim 1 be to assess state of mind Scale and questionnaire confidence level by monitoring sign data
System, which is characterized in that the sign data acquisition watch is built-in with sensor, and persistently obtains body by the sensor
Sign data are simultaneously transmitted to the intelligent mobile terminal.
3. according to claim 2 be to assess state of mind Scale and questionnaire confidence level by monitoring sign data
System, which is characterized in that the sign data includes blood pressure, pulse, heart rate, electrocardiogram.
4. according to claim 1 be to assess state of mind Scale and questionnaire confidence level by monitoring sign data
System, which is characterized in that the intelligent mobile terminal includes：
Terminal side service module, to provide interaction during Scale and questionnaire, according to the difference of test branch and measurement direction,
Different logic steps is provided and provides corresponding information to user and is fed back；
Interface display module is connected with the terminal side service module, to show the scale in human-computer interaction
Test service interaction flow.
5. according to claim 1 be to assess state of mind Scale and questionnaire confidence level by monitoring sign data
System, which is characterized in that the service server is to as carrying assessment state of mind Scale and questionnaire business and data processing
Carrier, the Scale and questionnaire data of measured are received from the intelligent mobile terminal, and wrist is acquired from the sign data
Table receives the sign data acquired during measured carries out Scale and questionnaire, theory of medicine and Principle of Statistics is based on, to phase
Close the visualization presentation that data carry out big data statistical analysis.
6. according to any one of claim 1 to 5 by monitoring sign data assessing state of mind Scale and questionnaire
The system of confidence level, which is characterized in that it is current to measure it using intelligent mobile terminal to carry out Scale and questionnaire in measured
During the state of mind, the service server establishes sign data distributed mode according to the original sign data of the measured
Type, and in subsequent continuous test process, the model is optimized according to preset optimization algorithm, and be continuously increased distribution
The data radix sample total of model rejects fluctuating range larger maximum value and minimum value, to optimize the convergence of data model
Range；
The optimization algorithm is specially：
During rejecting follow-up Scale and questionnaire every time, the collected total amount of data for accounting for sign data is less than or equal to systemic presupposition
Maximum value percentage the maximum sign data part of numerical value, and account for sign data total amount of data be less than or equal to system it is pre-
If minimum value percentage numerical value minimum sign data part, and remaining sign data after calculating is incorporated to computation model
Total data sample radix.
7. according to any one of claim 1 to 5 by monitoring sign data assessing state of mind Scale and questionnaire
The system of confidence level, which is characterized in that when service server is collected into the Scale and questionnaire data of measured, pass through distribution first
Whether the sign data for the measured that model testing obtains is thought in model in believable convergence region, if so, thinking body
Sign data belong to normal range (NR), and Scale and questionnaire data are credible；If not, then it is assumed that sign data is not belonging to normal range (NR), and scale is surveyed
It is insincere to try data.
8. a kind of system based on described in any one of claim 1 to 5, which is realized to pass through, monitors sign data to assess spirit
The method of state Scale and questionnaire confidence level, which is characterized in that the method includes the following steps：
(1) measured completes sign data by the intelligent mobile terminal, and in conjunction with the sign data acquisition watch
Acquisition and the submission of scale results are handled；
(2) service server described in models the sign data of acquisition and assesses the confidence level processing of scale results.
9. according to claim 8 realize passes through monitoring sign data to assess state of mind Scale and questionnaire confidence level
Method, which is characterized in that the step (1) includes the following steps：
(11) system into corresponding terminal side service module and carries out Scale and questionnaire flow according to the operation of measured；
(12) intelligent mobile terminal described in establishes data connection with sign data acquisition watch, and the sign data acquires wrist
Table starts the sign data of continuous collecting measured and is sent to the intelligent mobile terminal；
(13) intelligent mobile terminal will complete the relevant logic branch of Scale and questionnaire and survey in carrying out Scale and questionnaire interactive process
Try is rapid, and gives the corresponding information feedback of measured and prompt by different condition；Meanwhile the intelligent mobile terminal is continuous
Sign data is got from sign data acquisition watch and stores or be sent directly to service server；
(14) circulation continuous carries out above-mentioned steps (13), until Scale and questionnaire service interaction flow terminates；
(15) intelligent mobile terminal terminates Scale and questionnaire business, simultaneously closes off the data connection for acquiring watch with sign data, makes
Sign data acquisition watch enters dormant state or shutdown；
(16) a variety of data such as scale results and sign data are submitted to service server by intelligent mobile terminal respectively.
10. according to claim 8 realize passes through monitoring sign data to assess state of mind Scale and questionnaire confidence level
Method, which is characterized in that the step (2) includes the following steps：
(21) intelligent mobile terminal carries out Scale and questionnaire, it is desirable that service server is that current measured establishes sign data distributed mode
Type；
(22) service server sign data total amount of last time before is that radix is established and initializes sign data distribution
Model；
(23) it after intelligent mobile terminal completes Scale and questionnaire, submits when time sign data set, scale results to business take
Business device；
(24) service server pre-processes the sign data set obtained in above-mentioned steps (23), and rejecting subsequently works as secondary amounts
In table test process, the number of the maximum value percentage less than or equal to systemic presupposition of the collected total amount of data for accounting for sign data
It is worth maximum sign data part, and account for the minimum value percentage less than or equal to systemic presupposition of sign data total amount of data
Remaining sign data set after the pretreatment is used sign data distributed model by the sign data part of numerical value minimum；
(25) if the quantity of remaining sign data percentage shared in the total amount of data of sign data is greater than or equal to
The percentage threshold of systemic presupposition, and the remaining sign data is in distributed model, then is considered as credible；If it is not, then regarding
It is insincere；
(26) the sample radix of sign data distributed model is added in remaining sign data after pre-processing above-mentioned steps (24), with
Accumulative mode is as the total sample for modeling and initializing next time.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810107149.8A CN108320795A (en) | 2018-02-02 | 2018-02-02 | By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810107149.8A CN108320795A (en) | 2018-02-02 | 2018-02-02 | By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108320795A true CN108320795A (en) | 2018-07-24 |
Family
ID=62902729
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810107149.8A Pending CN108320795A (en) | 2018-02-02 | 2018-02-02 | By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108320795A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109223005A (en) * | 2018-10-19 | 2019-01-18 | 内江天海科技有限公司 | A kind of psychological condition remote diagnosis system |
| CN116580855A (en) * | 2023-05-22 | 2023-08-11 | 武汉市第三医院 | Reliability detection method and system for radioactive skin ulcer severity assessment scale |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104679967A (en) * | 2013-11-27 | 2015-06-03 | 广州华久信息科技有限公司 | Method for judging reliability of psychological test |
| CN104856704A (en) * | 2015-03-31 | 2015-08-26 | 鲍崇智 | Method and system for objective-subjective combined psychological assessment |
| CN205994491U (en) * | 2016-04-05 | 2017-03-08 | 青岛红影数字科技有限公司 | A kind of remote detecting system of health sign Index |
-
2018
- 2018-02-02 CN CN201810107149.8A patent/CN108320795A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104679967A (en) * | 2013-11-27 | 2015-06-03 | 广州华久信息科技有限公司 | Method for judging reliability of psychological test |
| CN104856704A (en) * | 2015-03-31 | 2015-08-26 | 鲍崇智 | Method and system for objective-subjective combined psychological assessment |
| CN205994491U (en) * | 2016-04-05 | 2017-03-08 | 青岛红影数字科技有限公司 | A kind of remote detecting system of health sign Index |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109223005A (en) * | 2018-10-19 | 2019-01-18 | 内江天海科技有限公司 | A kind of psychological condition remote diagnosis system |
| CN116580855A (en) * | 2023-05-22 | 2023-08-11 | 武汉市第三医院 | Reliability detection method and system for radioactive skin ulcer severity assessment scale |
| CN116580855B (en) * | 2023-05-22 | 2023-11-03 | 武汉市第三医院 | Reliability detection method and system for radioactive skin ulcer severity assessment scale |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105007338B (en) | Aged health monitors and alarm intelligent Internet of Things application service platform | |
| US20180008159A1 (en) | System and method of remote ecg monitoring, remote disease screening, and early-warning system based on wavelet analysis | |
| CN107203695A (en) | A kind of diabetes monitoring and interactive system counted based on cloud platform big data with calculating | |
| CN205081809U (en) | Old man health monitoring and intelligent thing networking application service platform of reporting to police | |
| CN102509010B (en) | Remote medical detection system | |
| CN110916647A (en) | Wearable electrocardio monitoring and arrhythmia remote real-time diagnosis device facing multiple scenes | |
| CN107767949B (en) | A kind of primary care system | |
| CN206601705U (en) | A kind of medical treatment ＆ health system based on Remote data service with analysis | |
| CN106650303A (en) | Old people health intelligent monitoring system | |
| CN104688250B (en) | Early warning method and early warning system both used for mental stress judgment and sudden cardiac death | |
| CN109124655A (en) | State of mind analysis method, device, equipment, computer media and multifunctional chair | |
| CN113241196A (en) | Remote medical treatment and grading monitoring system based on cloud-terminal cooperation | |
| CN108320795A (en) | By monitoring sign data assessing the system and method for state of mind Scale and questionnaire confidence level | |
| CN115394425A (en) | Medical equipment intelligent management system and method based on Internet of things | |
| CN109475315A (en) | Wearable heart monitoring apparatus, cardiac monitoring systems and method | |
| CN107748249A (en) | A kind of fully integrated sweat parameter monitoring and the system of analysis | |
| CN110074766A (en) | A kind of RFID physiology monitoring wrist strap | |
| US20200337567A1 (en) | Systems and Methods of Arrhythmia Detection | |
| CN106126959A (en) | A kind of exercise risk analyzes method and apparatus | |
| CN206003094U (en) | A kind of community medical service system | |
| CN110428893A (en) | A kind of tele-medicine vital sign data acquisition device | |
| CN109637677A (en) | A kind of diabetes B monitoring system based on blood sugar monitoring and the application in disease monitoring system | |
| CN103054672B (en) | Application system of electronic health detection first-aid case and application method thereof | |
| Aghav et al. | Health track | |
| CN109480812A (en) | A kind of pulse health data management system based on Internet of Things communication |
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 | ||
| CB03 | Change of inventor or designer information |
Inventor after: Chen Junning Inventor after: Xu Chunfeng Inventor after: Guo Ziheng Inventor before: Xu Chunfeng Inventor before: Chen Junning Inventor before: Guo Ziheng |
|
| CB03 | Change of inventor or designer information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180724 |
|
| RJ01 | Rejection of invention patent application after publication |