CN106599579A - Chronic disease self-hep detection method - Google Patents
Chronic disease self-hep detection method Download PDFInfo
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- CN106599579A CN106599579A CN201611148015.8A CN201611148015A CN106599579A CN 106599579 A CN106599579 A CN 106599579A CN 201611148015 A CN201611148015 A CN 201611148015A CN 106599579 A CN106599579 A CN 106599579A
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- G06F19/3418—
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- Public Health (AREA)
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- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
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- Cardiology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Physiology (AREA)
- Optics & Photonics (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Emergency Medicine (AREA)
- Pulmonology (AREA)
- Vascular Medicine (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a chronic disease self-help detection method. A person to be detected carries out operation detection in a self-help mode, a sampling machine sends sampled data to a monitoring host, the monitoring host gives out a detection report after analyzing the data, and the person to be detected is notified a detection result. A detection speed is high, and a detection result is accurate.
Description
Technical field
The present invention relates to medical treatment detection device field, the self-service detection method of specifically a kind of chronic disease.
Background technology
Chronic disease is the global problem of current medical circle, without any radical cure medicine and definite rehabilitation therapy method,
It is modern society's food surplus, the inevitable outcome of overnutrition, is commonly called as " affluenza ".Due to the continuous improvement of living standard, slowly
STD population group is constantly raised, if do not treated in time, it is easy to which the situation for causing cardiovascular disease or cerebral hemorrhage occurs.It is existing
The detection of some chronic disease crowds, is mostly that person to be detected is periodically detected to hospital, nurse or doctor, and inspection is held after detection
Survey result and see that doctor informs testing result and provides Primary treatment scheme to doctor.This mode detection efficiency is slow, is unsuitable for many
The quick detection demand of crowd.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of self-service detection method of chronic disease, and person to be detected is self-service to be grasped
Detect, gathered data is sent to monitoring host computer by Sampling Machine, and after monitoring host computer analytical data examining report is given, and is informed to be checked
Survey person's testing result, detection speed is fast, and testing result is accurate.
The technical scheme is that：
A kind of self-service detection method of chronic disease, has specifically included following steps：Person to be detected first shows in the touch of Sampling Machine
The project for needing detection is selected on screen, then touch display screen shows detection operating procedure, and person to be detected is according to detection operation step
Suddenly detection operation is carried out in testing agency, after the completion of operation, the data acquisition module of Sampling Machine receives the data of collection,
Then monitoring host computer is sent to by wireless network, the data analysis module of monitoring host computer is analyzed to gathered data, is confirmed
Then the result after analysis is sent to the report generation of monitoring host computer whether in normal scope for blood pressure, blood glucose and blood fat
Module, report generation module selects corresponding report to carry out integration process and obtains detection and analysis report according to analysis result, then
Detection and analysis report is sent to Sampling Machine by wireless network, and Sampling Machine carries out printout by report is tested and analyzed.
While described touch display screen shows detection operating procedure, the voice playing module of Sampling Machine is synchronously played
The voice messaging of detection operating procedure.
Blood pressure classification data, before meals euglycemia setting value, after meal normal blood are provided with described data analysis module
Sugared setting value and blood T-CHOL setting value；Described data analysis module by sampled data and corresponding blood pressure classification data,
Before meals euglycemia setting value, after meal euglycemia setting value or blood T-CHOL setting value carry out contrast judgement, judge sampling
Whether blood pressure is normal, the grade classification region of improper blood pressure, and whether sampling blood glucose and blood fat are normal, and then output judges knot
Really.
Described report generation module exports corresponding analysis of blood pressure report, analysis of blood sugar report and Analysis of blood lipid report；
Described analysis of blood pressure report includes normal arterial pressure analysis report and hypertension grading report；Described analysis of blood sugar report bag
Euglycemia analysis report and hyperglycemia analysis report are included；Described Analysis of blood lipid report includes normal lipid analysis report
With hyperlipidemia analysis report.
Described testing agency includes instrument for measuring blood pressure, infrared blood glucose meter and lipids detection instrument.
Advantages of the present invention：
The present invention shows operating process and detection data using touch display screen, instructs the operation of person to be detected, simple and convenient, and
Data output is quick；Analysis and process that the monitoring host computer of the present invention is concentrated to testing result, analysis result is sent to adopts
Model machine, makes person to be detected quickly know testing result, and the report for generating is simple and clear, readily appreciates；The present invention adopts blood pressure
Detector, infrared blood glucose meter and lipids detection instrument are detected that respectively detection range is wide to three high index.
Specific embodiment
The technical scheme in the embodiment of the present invention will be clearly and completely described below, it is clear that described enforcement
Example is only a part of embodiment of the invention, rather than the embodiment of whole.Based on the embodiment in the present invention, this area is common
The every other embodiment that technical staff is obtained under the premise of creative work is not made, belongs to the model of present invention protection
Enclose.
A kind of self-service detection method of chronic disease, has specifically included following steps：Touch of the person to be detected first in Sampling Machine
The project for needing detection is selected on display screen, then touch display screen shows detection operating procedure, while the voice of Sampling Machine is broadcast
Amplification module synchronously plays the voice messaging of detection operating procedure, and person to be detected is according to detection operating procedure in testing agency（Including
There are instrument for measuring blood pressure, infrared blood glucose meter and lipids detection instrument）On carry out detection operation, after the completion of operation, the data of Sampling Machine
Acquisition module receives the data of collection, is then sent to monitoring host computer, the data analysiss mould of monitoring host computer by wireless network
Block is analyzed to gathered data, confirms blood pressure, blood glucose and blood fat whether in normal scope, then by the result after analysis
The report generation module of monitoring host computer is sent to, report generation module selects corresponding report to carry out at integration according to analysis result
Reason obtains detection and analysis report, and then detection and analysis report is sent to Sampling Machine by wireless network, and Sampling Machine will be tested and analyzed
Report carries out printout.
Blood pressure classification data, before meals euglycemia setting value, after meal euglycemia setting are provided with data analysis module
Value and blood T-CHOL setting value；Data analysis module is by sampled data and corresponding blood pressure classification data, before meals euglycemia
Setting value, after meal euglycemia setting value or blood T-CHOL setting value carry out contrast judgement, judge whether sampling blood pressure is normal,
Whether the grade classification region of improper blood pressure, sampling blood glucose and blood fat are normal, then export result of determination；Report generation module
Export corresponding analysis of blood pressure report, analysis of blood sugar report and Analysis of blood lipid report；Analysis of blood pressure report includes normal arterial pressure
Analysis report and hypertension grading are reported；Analysis of blood sugar report includes euglycemia analysis report and hyperglycemia analysis report；
Analysis of blood lipid report includes normal lipid analysis report and hyperlipidemia analysis report.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding can carry out various changes, modification, replacement to these embodiments without departing from the principles and spirit of the present invention
And modification, the scope of the present invention be defined by the appended.
Claims (5)
1. a kind of self-service detection method of chronic disease, is characterised by：Following steps are specifically included：Person to be detected first is in Sampling Machine
Touch display screen on select need detection project, then touch display screen show detection operating procedure, person to be detected according to
Detection operating procedure carries out detection operation in testing agency, and after the completion of operation, the data acquisition module of Sampling Machine is received
The data of collection, are then sent to monitoring host computer by wireless network, and the data analysis module of monitoring host computer enters to gathered data
Row analysis, confirms that the result after analysis whether in normal scope, is then sent to monitoring host computer by blood pressure, blood glucose and blood fat
Report generation module, report generation module according to analysis result select it is corresponding report carry out integration process tested and analyzed
Report, then detection and analysis report is sent to Sampling Machine by wireless network, and Sampling Machine will test and analyze report and carry out printing defeated
Go out.
2. a kind of self-service detection method of chronic disease according to claim 1, is characterised by：It is aobvious in described touch display screen
While showing detection operating procedure, the voice playing module of Sampling Machine synchronously plays the voice messaging of detection operating procedure.
3. a kind of self-service detection method of chronic disease according to claim 1, is characterised by：In described data analysis module
It is provided with blood pressure classification data, before meals euglycemia setting value, after meal euglycemia setting value and blood T-CHOL setting value；Institute
The data analysis module stated is by sampled data and corresponding blood pressure classification data, before meals euglycemia setting value, after meal normal blood
Sugared setting value or blood T-CHOL setting value carry out contrast judgement, judge whether sampling blood pressure is normal, the grade of improper blood pressure
Whether zoning, sampling blood glucose and blood fat are normal, then export result of determination.
4. a kind of self-service detection method of chronic disease according to claim 1, is characterised by：Described report generation module is defeated
Go out corresponding analysis of blood pressure report, analysis of blood sugar report and Analysis of blood lipid report；Described analysis of blood pressure report includes normal
Analysis of blood pressure is reported and hypertension grading report；Described analysis of blood sugar report includes euglycemia analysis report and hyperglycemia
Analysis report；Described Analysis of blood lipid report includes normal lipid analysis report and hyperlipidemia analysis report.
5. a kind of self-service detection method of chronic disease according to claim 1, is characterised by：Described testing agency includes
Instrument for measuring blood pressure, infrared blood glucose meter and lipids detection instrument.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611148015.8A CN106599579A (en) | 2016-12-13 | 2016-12-13 | Chronic disease self-hep detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611148015.8A CN106599579A (en) | 2016-12-13 | 2016-12-13 | Chronic disease self-hep detection method |
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| CN106599579A true CN106599579A (en) | 2017-04-26 |
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| CN201611148015.8A Pending CN106599579A (en) | 2016-12-13 | 2016-12-13 | Chronic disease self-hep detection method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596104A (en) * | 2009-06-11 | 2009-12-09 | 浙江大学 | The wireless feedback control system of thereof for preventing chronic disease in community and method |
| CN102018517A (en) * | 2009-09-17 | 2011-04-20 | 林紫谊 | Non-invasive glucometer |
| CN103559397A (en) * | 2013-10-31 | 2014-02-05 | 合肥学院 | Intelligent service system and method applied to hypertension chronic diseases |
| CN104490388A (en) * | 2014-12-16 | 2015-04-08 | 无锡市健维仪器有限公司 | Extensible human health remote recording, monitoring and diagnosis system |
| CN106156517A (en) * | 2016-07-22 | 2016-11-23 | 广东工业大学 | The self-service automatic checkout system in a kind of human body basic disease community |
-
2016
- 2016-12-13 CN CN201611148015.8A patent/CN106599579A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596104A (en) * | 2009-06-11 | 2009-12-09 | 浙江大学 | The wireless feedback control system of thereof for preventing chronic disease in community and method |
| CN102018517A (en) * | 2009-09-17 | 2011-04-20 | 林紫谊 | Non-invasive glucometer |
| CN103559397A (en) * | 2013-10-31 | 2014-02-05 | 合肥学院 | Intelligent service system and method applied to hypertension chronic diseases |
| CN104490388A (en) * | 2014-12-16 | 2015-04-08 | 无锡市健维仪器有限公司 | Extensible human health remote recording, monitoring and diagnosis system |
| CN106156517A (en) * | 2016-07-22 | 2016-11-23 | 广东工业大学 | The self-service automatic checkout system in a kind of human body basic disease community |
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Application publication date: 20170426 |
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