CN104688207A - Healthy physical sign intelligent prompt method - Google Patents
Healthy physical sign intelligent prompt method Download PDFInfo
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- CN104688207A CN104688207A CN201510102548.1A CN201510102548A CN104688207A CN 104688207 A CN104688207 A CN 104688207A CN 201510102548 A CN201510102548 A CN 201510102548A CN 104688207 A CN104688207 A CN 104688207A
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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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
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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
- A61B5/02141—Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits
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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
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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Abstract
The invention relates to a healthy physical sign intelligent prompt method. The healthy physical sign intelligent prompt method comprises the following steps: (1), collecting physical sign data and uploading the physical sign data to a client by Internet of Things household physical sign monitoring equipment; (2), verifying the identity information of a user by the client, and judging whether verification is passed or not; if yes, receiving the physical sign data, uploading the physical sign data to a cloud computing platform, and executing a step (3); otherwise, returning the step (2); (3), analyzing the physical sign data by the cloud computing platform, generating a physical sign prompt task, feeding the physical sign prompt task back to the client, and displaying the physical sign prompt task. Compared with the prior art, the healthy physical sign intelligent prompt method has the advantages that prompt information is accurate, and interactivity is enhanced.
Description
Technical field
The present invention relates to intelligent health data processing field, especially relate to a kind of healthy sign intelligent prompt method.
Background technology
Along with chronic disease number of the infected increases, age of onset is rejuvenation gradually, and people constantly increase for the concern of chronic disease, and research also deepens continuously.A lot of research shows, chronic disease can be improved by the improvement of life style.
The frequent self detecting blood sugar blood pressure of chronic, but generally lack the consciousness of periodic logging; Even if regular record, also cannot obtain the timely utilization of doctor, make and intervening timely.The enthusiasm causing patient to make domestic medical device measure sign reduces, and is not intervened in time and treat, and loses the chance that a lot of state of an illness is improved.
There are mobile terminal application and the health control website of some slow sick autonomous managements in the market.But these mobile terminals still based on slow sick self management, lack the mode of interactive service.
Summary of the invention
Object of the present invention be exactly provide to overcome defect that above-mentioned prior art exists a kind of prompting message accurately, strengthen interactive healthy sign intelligent prompt method.
Object of the present invention can be achieved through the following technical solutions:
A kind of healthy sign intelligent prompt method, comprises the following steps:
1) Internet of Things household sign monitoring equipment gathers sign data and is uploaded to client;
2) identity information of client validation user, judges whether checking is passed through, and if so, then receives described sign data and is uploaded to cloud computing platform, performs step 3), if not, then return step 2);
3) cloud computing platform is analyzed described sign data, generates sign reminding task, and feeds back to client, show.
Described Internet of Things household sign monitoring equipment comprises sphygomanometer, BOLD contrast, blood glucose meter and/or scale.
Described client comprises mobile phone or computer.
Described step 2) in, client receives the identity information of user and after being verified, is associated by subscriber identity information with sign data, is sent to cloud computing platform.
Described step 3) in, cloud computing platform is analyzed described sign data, generates sign reminding task and is specially:
A) cloud computing platform receives sign data, judges its type of service;
B) cloud computing platform calls the national sign standard or personalized alerting pattern that preset according to described type of service, generates sign reminding task.
Described sign reminding task comprises the timetable and frequency that Internet of Things household sign monitoring equipment carries out measuring.
Compared with prior art, the present invention has the following advantages:
(1) the present invention can be pre-conditioned according to practical situation when generating reminding task, and therefore reminding can be personalized, and different because of different crowds, prompting message is accurate.
(2) abnormal conditions can be divided, facilitate client to have a clear understanding of the residing location of self sign.
(3) interactive management is become from self management, after the present invention analyzes measurement the data obtained, user is reminded by the mode of intelligent reminding, can play and handle it more targetedly, and can play supervision, managerial role to the data exceeded in critical field, to improve dependability.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Detailed description of the invention
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.The present embodiment is implemented premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, the present embodiment provides a kind of healthy sign intelligent prompt method, comprises the following steps:
In step sl, Internet of Things household sign monitoring equipment gathers sign data, and Internet of Things household sign monitoring equipment comprises sphygomanometer, BOLD contrast, blood glucose meter, scale etc.
In step s 2, Internet of Things household sign monitoring equipment is by bluetooth or wireless sign data is uploaded to client, and in the present embodiment, client is mobile phone.
In step s3, the identity information of client validation user, after being verified, associates subscriber identity information with sign data, is sent to cloud computing platform.
In step s 4 which, cloud computing platform is analyzed described sign data.
In step s 5, judge that whether sign is abnormal according to sign data, if so, then perform step S6, if not, then record sign data.
In step s 6, generate sign reminding task, and feed back to client, show.
Cloud computing platform is analyzed described sign data, generates sign reminding task and is specially:
A) cloud computing platform receives sign data, judges its type of service;
B) cloud computing platform calls the national sign standard or personalized alerting pattern that preset according to described type of service, generates sign reminding task, comprises timetable and frequency that Internet of Things household sign monitoring equipment carries out measuring.Task is presented in the task reminders page, reminds operator to need to process these abnormal blood pressure data, takes corresponding intervening measure to the uploader of these data.
The present embodiment is described for blood glucose and blood pressure measurement.
First, by the definition for standard blood and range of blood sugar in " Chinese hypertension prevention and control guide 2010 ", blood pressure and blood glucose are divided into standard and nonstandard numbers certificate.Wherein, the critical field of blood pressure is: systolic pressure 90-139mmHg, diastolic pressure 60-89mmHg; The critical field of blood glucose is: ND: fasting glucose: 3.9-6.1mmol/L; After the meal 2 hours: 3.9-7.8mmol/L; Random: 3.9-11.1mmol/l; Diabetics: fasting glucose: 4.4 ~ 6.1mmol/L; After the meal 2 hours: 4.4 ~ 7.8mmol/L; Random: 4.4 ~ 11.1mmol/l.
Secondly, then by the data not in critical field, following rule is used to distinguish.Wherein, blood pressure data is divided into following five large generic task types, to take different processing modes to often kind of assessment of tasks urgency level.Blood pressure Processing tasks was that a cycle period calculates with three days, and the cycle exceedes term of reference first with generation and starts to calculate.
Task type one: exceed term of reference (starting the computation cycles cycle) first
A. higher first: diastolic pressure: 90 ~ 99mmHg and (or) systolic pressure: 140 ~ 159mmHg
B. too high first: diastolic pressure >99mmHg and (or) systolic pressure >159mmHg
C. on the low side first: diastolic pressure≤60mmHg and (or) systolic pressure≤90mmHg
Task type two: the second time high level of systolic pressure or diastolic pressure is too high comparatively for the first time
A. systolic pressure is too high: second time systolic pressure high level-systolic pressure high level >20mmHg first
B. diastolic pressure is too high: second time diastolic pressure high level-diastolic pressure high level >10mmHg first
Task type three: systolic pressure or diastolic pressure for the second time low value are too low comparatively for the first time
A. systolic pressure is too low: shrink first and force down value – another systolic pressure low value > 10mmHg
B. diastolic pressure is too low: value – another diastolic pressure low value > 10mmHg message template is forced down in diastole first:
Task type four: continuous three days dysarteriotonies
A. continuous three days blood pressures exceed normal range (no matter systolic pressure or diastolic pressure)
Task type five: pulse pressure difference is excessive
A. pulse pressure difference is excessive: systolic pressure-diastolic pressure >60mmHg
B. pulse pressure difference is too small: systolic pressure-diastolic pressure≤20mmHg
Blood glucose level data is divided into following two large generic task types, to take different processing modes to often kind of assessment of tasks urgency level.Blood glucose Processing tasks was that a cycle period calculates with seven days, and the cycle exceedes term of reference first with generation and starts to calculate.
Task type one: exceed term of reference first
A. blood sugar in diabetic patients is on the low side: fasting glucose <4.4mol/L or after the meal 2 hours blood glucose <4.4mol/L or random blood sugar <4.4mol/L
B. blood sugar in diabetic patients is higher: fasting glucose >=7.0mmol/L or after the meal 2 hours blood glucoses >=11.1mmol/L or random blood sugar >=11.1mmol/L
C. ND's blood glucose is on the low side: fasting glucose <3.9mmol/L or after the meal 2 hours blood glucose <3.9mmol/L or random blood sugar <3.9mmol/L
D. ND's high blood glucose: fasting glucose >7.0mmol/L or after the meal 2 hours blood glucose >11.1mmol/L or random blood sugar >11.1mmol/L
Task type two: blood glucose was all too high in continuous 7 days
A. in continuous 7 days, every day all has: fasting glucose >7.0mol/L or random blood sugar >11.1mol/L.Cloud computing platform can generate personalized reminding task according to above-mentioned setting and the real-time sign data that receives.
Claims (6)
1. a healthy sign intelligent prompt method, is characterized in that, comprise the following steps:
1) Internet of Things household sign monitoring equipment gathers sign data and is uploaded to client;
2) identity information of client validation user, judges whether checking is passed through, and if so, then receives described sign data and is uploaded to cloud computing platform, performs step 3), if not, then return step 2);
3) cloud computing platform is analyzed described sign data, generates sign reminding task, and feeds back to client, show.
2. healthy sign intelligent prompt method according to claim 1, is characterized in that, described Internet of Things household sign monitoring equipment comprises sphygomanometer, BOLD contrast, blood glucose meter and/or scale.
3. healthy sign intelligent prompt method according to claim 1, it is characterized in that, described client comprises mobile phone or computer.
4. healthy sign intelligent prompt method according to claim 1, is characterized in that, described step 2) in, client receives the identity information of user and after being verified, is associated by subscriber identity information with sign data, is sent to cloud computing platform.
5. healthy sign intelligent prompt method according to claim 1, is characterized in that, described step 3) in, cloud computing platform is analyzed described sign data, generates sign reminding task and is specially:
A) cloud computing platform receives sign data, judges its type of service;
B) cloud computing platform calls the national sign standard or personalized alerting pattern that preset according to described type of service, generates sign reminding task.
6. healthy sign intelligent prompt method according to claim 1 or 5, is characterized in that, described sign reminding task comprises the timetable and frequency that Internet of Things household sign monitoring equipment carries out measuring.
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| CN201510102548.1A CN104688207A (en) | 2015-03-09 | 2015-03-09 | Healthy physical sign intelligent prompt method |
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Cited By (7)
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| CN105404769A (en) * | 2015-11-02 | 2016-03-16 | 腾讯科技（深圳）有限公司 | Health data display method and device |
| CN106339032A (en) * | 2016-08-08 | 2017-01-18 | 北京妙医佳信息技术有限公司 | Data processing system and method |
| CN107066804A (en) * | 2017-02-13 | 2017-08-18 | 上海斐讯数据通信技术有限公司 | A kind of intelligent health monitoring handrail and health monitoring method |
| CN107205032A (en) * | 2017-05-31 | 2017-09-26 | 北京京东方专用显示科技有限公司 | The method and terminal of a kind of information processing |
| CN113397504A (en) * | 2021-06-16 | 2021-09-17 | 中移（杭州）信息技术有限公司 | Detection prompting method, device, equipment and computer readable storage medium |
| US11450437B2 (en) | 2015-09-24 | 2022-09-20 | Tencent Technology (Shenzhen) Company Limited | Health management method, apparatus, and system |
| CN116189896A (en) * | 2023-04-24 | 2023-05-30 | 北京快舒尔医疗技术有限公司 | Cloud-based diabetes health data early warning method and system |
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