CN1448876A - Computer evaluating method for human body sub-health status - Google Patents
Computer evaluating method for human body sub-health status Download PDFInfo
- Publication number
- CN1448876A CN1448876A CN 02103836 CN02103836A CN1448876A CN 1448876 A CN1448876 A CN 1448876A CN 02103836 CN02103836 CN 02103836 CN 02103836 A CN02103836 A CN 02103836A CN 1448876 A CN1448876 A CN 1448876A
- Authority
- CN
- China
- Prior art keywords
- heart rate
- testee
- human body
- sub
- evaluation
- 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.)
- Granted
Links
Images
Landscapes
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The present invention belongs to the field of quantitative evaluation of human body's subhealth state and features that in personalized sports experiments, the testee's electrocardiogram, pulse wave and blood pressure are measured and recorded; hereby the characteristic physiological parameters including maximum systolic blood pressure, average rest heart rate, heart rate restoring time, the ratio between height and squared body weight and maximum heart rate are then obtained and substituted into judgment function to generate the evaluation value of human body's subhealth state; and the evaluation value is substituted into the membership function to obtain the subhealth state grade. The subhealth state grade lower than 75 is corresponding to subhealth state and or else the health state. Correspondingly, the computerized measuring and evaluating system is also provided.
Description
Technical field
A kind of computer evaluating method of human body sub-health status belongs to the complex art field of preventive medicine, Medical Statistics, physiological system modeling and simulating, computer information management, particularly the qualitative assessment field of human body sub-health status.
Background technology
State between health and the disease is called " inferior health ", and it generally is meant the functional change of no organic disease, and elicit illness state or gray states are otherwise known as.Discover, respectively account for about 15%, and remaining 70% all is in sub-health state more or less the people of China's health and ill people.
At present, mainly contain following several for the evaluation and test of sub-health state or the method for diagnosis:
1) carry out oneself's evaluation and test by universality life quality scale (SF-36 or WHOQOL scale) or the specific relevant scale questionnaire of inferior health, its result often is subjected to the influence of testee's subjective will.
2) conventional physical examination.Differentiate sub-health state according to the higher state whether every biochemical indicator is in the normal range, its cost is higher, and the time is also long, and evaluation result is not directly perceived.
3) carry out physique monitoring according to " Chinese adult measurement of physical fitness and health standard ", but it biases toward fitness, rather than bias toward the physical function aspect, it is poor for applicability.
Summary of the invention
The objective of the invention is to overcome the deficiency of existing sub-health state evaluating method, the computer evaluating method of a cover human body sub-health status is provided.
The invention is characterized in that it contains following steps successively:
1) initialization:
(1) input testee's height and body weight;
(2) the healthy standard score with sub-health state of input difference is 75 minutes, if the evaluation and test of testee's cardiovascular system divides score<75, then is sub-health state, otherwise is health status;
2) in personalization the exercise testing process in measure and record testee's cardiogram, pulse wave and blood pressure (systolic pressure/diastolic pressure);
3) calculate the following characteristics physiological parameter according to the testee's who measures and record physiological parameter: maximum collapse pressure value MSBP, tranquillization average heart rate RHR, heart rate RTHR release time, height/body weight
2Value BMI and maximum heart rate value MHR;
4), obtain the evaluation and test value of testee's cardiovascular system the following discriminant function formula of above-mentioned feature physiological parameter substitution;
z=a
1*MSBP+a
2*RHR+a
3*RTHR+a
4*BMI+a
5*MHR+a
6
A wherein
1-a
6Be the physiological parameter coefficient relevant with every BT(batch testing) number of testee;
5) the following subordinate function of above-mentioned evaluation and test value substitution is tried to achieve the evaluation and test mark of testee's cardiovascular system:
6) standard healthy according to difference and sub-health state is differentiated testee's health status.
Described heart rate is to occur the maximum heart rate value on heart rate-time plot constantly and return to the resting heart rate value time interval constantly release time.
Use the result to prove that it has reached intended purposes.
Description of drawings
Fig. 1 is the used system hardware theory diagram of the present invention.
Fig. 2 proposes the main program flow block diagram of method for the present invention.
Fig. 3 is the waveform displayed map of each physiological signal in human-body sub-health evaluating software display interface and the motion process.
Fig. 4 is the changes in heart rate trend map of healthy person in the evaluation and test process.
Fig. 5 is the changes in heart rate trend map of inferior health person in the evaluation and test process.
Fig. 6 is the measurement of exercise testing and the subroutine flow chart of record human body physiological parameter.
Embodiment
A large amount of experimental results show: be to intercouple between (as the circulation system, respiratory system, nervous system) between each physiological system of inside of human body.The relation of therefore gathering between multiple physiological signal and each signal of analysis-by-synthesis can provide abundant more physiologic information.And the exercise testing method has been proved to be a kind of effective means that detects physical function.The exercise testing method that the present invention proposes makes human body be in " stress attitude ", measures and the record human body returns to the physiology course of " tranquillization attitude " from " stress attitude ", and this can obtain from oscillograms such as cardiogram, pulse wave; The exercise testing scheme that the present invention adopts is the stair exercise testing, also can utilize synkinesia instruments such as flat board, dynamometry bicycle or hurry up, run, synkinesia mode such as jump, measure and be recorded in the physiology course of cardiogram continuous in the motion process, pulse wave and blood pressure change simultaneously.Personalized exercise testing scheme of the present invention is meant according to amount of exercise and movement rhythm in testee's age, height, the body weight situation design exercise testing process.
The stair exercise testing that adopts in the embodiment of the invention, the step of its evaluation and test process is as follows:
1) under the principle that the i.e. acting amount of amount of exercise equates in guaranteeing motion process, calculates movement rhythm, motion scheme is carried out personalization according to testee's height, weighing scale.
2) respectively paste disposable electrode at testee's left and right chest and left belly, the line that leads of multi-parameter detector is connected on the electrode.Lead from three simultaneously and obtain continuous ECG the line;
3) the blood oxygen saturation photoelectric sensor is enclosed within on testee's right hand forefinger, from this sensor, can obtains blood oxygen saturation and photoelectricity volume pulsation wave;
4) cuff is wrapped tightly the left upper arm the testee, measure pressure value (systolic pressure/diastolic pressure) automatically;
5) testee is in the state of sitting quietly, after the signal that makes output is stable gradually, and recording ecg, pulse wave and blood pressure;
6) measured a blood pressure in per 90 seconds, other continuous signals state of always holding the record
7) behind the blood pressure under three quiescent conditions of measurement, beginning stair exercise testing;
8) testee does upper and lower step movement, and bench height is about 25cm, and rhythm is by the software control auditory tone cues, and run duration is 1 minute, stops blood pressure measurement between moving period, and other physiological parameters still continue to measure and record;
9) stop motion after 1 minute, the auditory tone cues testee recovers the state of sitting quietly, and gets started the measurement blood pressure simultaneously, obtains the post exercise blood pressure data;
10) still measure one time blood pressure at interval 90 seconds, the level before blood pressure returns to motion does not fully perhaps return to the preceding level of motion, but no longer descends;
11) stop data recording, experiment finishes.
Finishing whole test process approximately needed for two ten minutes, and related data stores in the database.Physiological signal waveform in motion process as shown in Figure 3, the subroutine flow chart of the measurement of corresponding exercise testing and record human parameters is seen Fig. 6.
In the present embodiment, specimen amount is 145 people, a in the discriminant function
1-a
6Be respectively 0.038,0.034,0.015,0.170 ,-0.035 and-9.789.
It is 99121908.2 that the hardware system of present embodiment mainly adopts the Chinese invention patent application number, the patented product of multi-parameter detector by name.It is mainly used in the routine inspection of multiple physiological parameter, comprises standard limbs three lead electrocardiogram, pulse, breathing, arterial pressure, blood oxygen saturation and body temperature.The annexation of it and computer data acquiring card is seen Fig. 1.Used the wherein functions of modules of synchronous acquisition cardiogram, pulse wave (blood oxygen saturation) and measurement blood pressure in the present embodiment.Electrocardio processing module wherein can be measured I, II, the accurate limb leads cardiogram of III beacon simultaneously; What oxygen saturation measurement adopted is the blood oxygen module that is provided by USA I E company, and volume is little, low in energy consumption, easy to operate, when measuring blood oxygen saturation, also can obtain pulse wave and heart rate value.What blood pressure measurement adopted is the cuff formula non-invasive blood pressure module that U.S. ALTA OEM company produces, and adult, children are suitable for.Measurement result comprises systolic pressure, diastolic pressure, mean pressure and heart rate.Module provides the RS-232 interface and the computing machine communication of standard, and blood pressure measurement is by software control, and metering system has manually (user sends out and measures instruction) and automatic (time interval according to user's setting measures automatically) two kinds.After blood pressure measurement finished, module was transferred to computing machine to measurement result.In the measuring process, can send out at any one time as required and stop to measure blood pressure instruction, module is discharged the air in the cuff after receiving and stopping to measure instruction immediately.According to module instruction, also can recover measuring process again.Data collecting card adopts the ATMEL89C51 single-chip microcomputer that system initialization setting, A/D conversion, data storage and data transmission etc. are managed, and leads the synchronous acquisition of physiological parameter continuously such as cardiogram and pulse wave so that finish three under computer control.Computing machine is realized communication with capture card by the 8255 parallel interface extended chips that provide on isa bus and the capture card.That the A/D conversion chip adopts is the MAX155 that MAXIM company produces.It has the high-speed AD converter that 8 passage synchronized samplings keep function.Random access memory 62256 provides the data buffer of 32KB for capture card.Latch is 74LS373, and address decoder is 74LS688 and 74LS138.
Fig. 4 is healthy person heart rate changing trend diagram in the evaluation and test process.The heart rate value that the A point is corresponding among the figure is a resting heart rate, and the heart rate value that the B point is corresponding is a maximum heart rate, and the time interval that B point and C are ordered is heart rate release time.The MSBP of this healthy person is 144mmHg, and BMI is 22.86kg/m2, and RTHR is 76 seconds, and MHR is 152bpm, and RHR is 88bpm, and counting the score through evaluating system is 89 minutes.Fig. 5 is inferior health person's heart rate changing trend diagram in the evaluation and test process.Its heart rate is obviously long than healthy people's release time release time, this is because in the human motion process, the major physiological parameter will be left quiescent condition, and by control the stable of related physiological parameters based on a series of adjustment processes of autonomic nerves system, and be in the human body of sub-health state, its autonomic nerves system more or less has been subjected to influence, thereby makes the cardiovascular system of human body can not return to quiescent condition after motion at once.Therefore in the process of tranquillization-motion-recovery,, can evaluate and test the ability of regulation and control of tester's autonomic nerve, and then reflect tester's sub-health state degree from an aspect by the situation of change of analytical test person cardiovascular system correlation parameter.As shown in Figure 5, as calculated, this inferior health person's MSBP is 176mmHg, and BMI is 24.77kg/m2, and RTHR is 94 seconds, and MHR is 170bpm, and RHR is 70bpm, and counting the score through evaluating system is 64 minutes, lower than the scoring of healthy person.
This shows that method of the present invention can be from the degree of an aspect reflection sub-health state.
Claims (2)
1. the computer evaluating method of human body sub-health status contains the step that human body physiological parameter is measured, and it is characterized in that: it contains following steps successively:
1) initialization:
(1) input testee's height and body weight;
(2) the healthy standard score with sub-health state of input difference is 75 minutes, if the evaluation and test of testee's cardiovascular system divides score<75, then is sub-health state, otherwise is health status;
2) in personalization the exercise testing process in measure and record testee's cardiogram, pulse wave and blood pressure (systolic pressure/diastolic pressure);
3) calculate the following characteristics physiological parameter according to the testee's who measures and record physiological parameter: maximum collapse pressure value MSBP, tranquillization average heart rate RHR, heart rate RTHR release time, height/body weight
2Value BMI and maximum heart rate value MHR;
4), obtain the evaluation and test value of testee's cardiovascular system the following discriminant function formula of above-mentioned feature physiological parameter substitution;
z=a
1*MSBP+a
2*RHR+a
3*RTHR+a
4*BMI+a
5*MHR+a
6
A wherein
1-a
6Be the physiological parameter coefficient relevant with every batch of test number of testee;
5) the following subordinate function of above-mentioned evaluation and test value substitution is tried to achieve the evaluation and test mark of testee's cardiovascular system:
6) standard healthy according to difference and sub-health state is differentiated testee's health status.
2. the computer evaluating method of human body sub-health status according to claim 1 is characterized in that: described heart rate is to occur the maximum heart rate value on heart rate-time plot constantly and return to the resting heart rate value time interval constantly release time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN 02103836 CN1275179C (en) | 2002-03-29 | 2002-03-29 | Computer evaluating method for human body sub-health status |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN 02103836 CN1275179C (en) | 2002-03-29 | 2002-03-29 | Computer evaluating method for human body sub-health status |
Publications (2)
Publication Number | Publication Date |
---|---|
CN1448876A true CN1448876A (en) | 2003-10-15 |
CN1275179C CN1275179C (en) | 2006-09-13 |
Family
ID=28680025
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN 02103836 Expired - Fee Related CN1275179C (en) | 2002-03-29 | 2002-03-29 | Computer evaluating method for human body sub-health status |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN1275179C (en) |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102339353A (en) * | 2010-07-21 | 2012-02-01 | 国家体育总局体育科学研究所 | Scientific fitness guidance system |
CN102387744A (en) * | 2009-04-01 | 2012-03-21 | 阿尔伯特-路德维希-弗莱堡大学 | Method and device for determining the general fitness of a test subject |
CN102670182A (en) * | 2012-05-03 | 2012-09-19 | 北京工业大学 | Pulse wave acquisition quality real-time analysis device |
CN104027097A (en) * | 2014-06-06 | 2014-09-10 | 首都医科大学 | Vascular function noninvasive detecting method and device |
CN104706348A (en) * | 2015-03-20 | 2015-06-17 | 宁波市美灵思医疗科技有限公司 | Multi-mode continuous blood pressure measurement device and self-calibration method thereof |
CN105769159A (en) * | 2016-03-31 | 2016-07-20 | 深圳还是威健康科技有限公司 | Method for health monitoring based on heart rate and terminal |
CN105769341A (en) * | 2014-12-23 | 2016-07-20 | 珠海云麦科技有限公司 | Method and equipment for displaying body data |
CN106228018A (en) * | 2016-07-29 | 2016-12-14 | 上海烯旺信息科技有限公司 | A kind of health state evaluating method and evaluating system |
CN107077523A (en) * | 2014-03-20 | 2017-08-18 | 比特斯达克有限公司 | Health risk index is determined |
CN108847288A (en) * | 2018-07-13 | 2018-11-20 | 武汉久乐科技有限公司 | A kind of healthy early warning method and apparatus |
CN110310524A (en) * | 2019-07-04 | 2019-10-08 | 山东中医药高等专科学校 | A kind of Teaching Evaluation System based on computer control |
CN112568887A (en) * | 2020-12-03 | 2021-03-30 | 深圳数联天下智能科技有限公司 | Method and related device for determining user state |
CN114052746A (en) * | 2022-01-05 | 2022-02-18 | 毕胜普生物科技有限公司 | Exercise electrocardiogram data processing method and device, computer equipment and storage medium |
CN115227213A (en) * | 2022-06-17 | 2022-10-25 | 荣耀终端有限公司 | Heart rate measuring method, electronic device and computer readable storage medium |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10327651B2 (en) | 2014-06-12 | 2019-06-25 | Koninklijke Philips N.V. | Resting heart rate monitor system |
-
2002
- 2002-03-29 CN CN 02103836 patent/CN1275179C/en not_active Expired - Fee Related
Cited By (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102387744A (en) * | 2009-04-01 | 2012-03-21 | 阿尔伯特-路德维希-弗莱堡大学 | Method and device for determining the general fitness of a test subject |
CN102387744B (en) * | 2009-04-01 | 2014-07-16 | 阿尔伯特-路德维希-弗莱堡大学 | Method and device for determining the general fitness of a test subject |
US9615785B2 (en) | 2009-04-01 | 2017-04-11 | Adidas Ag | Method and apparatus to determine the overall fitness of a test subject |
CN102339353A (en) * | 2010-07-21 | 2012-02-01 | 国家体育总局体育科学研究所 | Scientific fitness guidance system |
CN102670182A (en) * | 2012-05-03 | 2012-09-19 | 北京工业大学 | Pulse wave acquisition quality real-time analysis device |
CN102670182B (en) * | 2012-05-03 | 2014-06-18 | 北京工业大学 | Pulse wave acquisition quality real-time analysis device |
CN107077523A (en) * | 2014-03-20 | 2017-08-18 | 比特斯达克有限公司 | Health risk index is determined |
CN104027097A (en) * | 2014-06-06 | 2014-09-10 | 首都医科大学 | Vascular function noninvasive detecting method and device |
CN105769341A (en) * | 2014-12-23 | 2016-07-20 | 珠海云麦科技有限公司 | Method and equipment for displaying body data |
CN104706348A (en) * | 2015-03-20 | 2015-06-17 | 宁波市美灵思医疗科技有限公司 | Multi-mode continuous blood pressure measurement device and self-calibration method thereof |
CN105769159A (en) * | 2016-03-31 | 2016-07-20 | 深圳还是威健康科技有限公司 | Method for health monitoring based on heart rate and terminal |
CN106228018A (en) * | 2016-07-29 | 2016-12-14 | 上海烯旺信息科技有限公司 | A kind of health state evaluating method and evaluating system |
CN108847288A (en) * | 2018-07-13 | 2018-11-20 | 武汉久乐科技有限公司 | A kind of healthy early warning method and apparatus |
CN110310524A (en) * | 2019-07-04 | 2019-10-08 | 山东中医药高等专科学校 | A kind of Teaching Evaluation System based on computer control |
CN112568887A (en) * | 2020-12-03 | 2021-03-30 | 深圳数联天下智能科技有限公司 | Method and related device for determining user state |
CN114052746A (en) * | 2022-01-05 | 2022-02-18 | 毕胜普生物科技有限公司 | Exercise electrocardiogram data processing method and device, computer equipment and storage medium |
CN115227213A (en) * | 2022-06-17 | 2022-10-25 | 荣耀终端有限公司 | Heart rate measuring method, electronic device and computer readable storage medium |
CN115227213B (en) * | 2022-06-17 | 2023-09-08 | 荣耀终端有限公司 | Heart rate measuring method, electronic device and computer readable storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN1275179C (en) | 2006-09-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN1275179C (en) | Computer evaluating method for human body sub-health status | |
Pollock et al. | A comparative analysis of four protocols for maximal treadmill stress testing | |
CN101357062B (en) | Vital signs parameter evaluation device based on volume pulsation wave detection | |
Zeballos et al. | Behind the scenes of cardiopulmonary exercise testing | |
Wolthuis et al. | The response of healthy men to treadmill exercise. | |
CN101061950B (en) | Atrial fibrilation detection by SP02 | |
CN200987666Y (en) | Portable sleep monitor | |
Peterson et al. | Accuracy of VO2max prediction equations in older adults | |
CN111084618A (en) | Wearable multifunctional respiration cycle detection system and method | |
CN200987667Y (en) | Portable sleep monitor | |
CN104217095A (en) | Human-body health function-status evaluating model | |
CN103577686A (en) | Chinese people health-related fitness evaluation model | |
CN102462494A (en) | Novel intelligent electrocardiogram test healthcare apparatus | |
CN113520333A (en) | Method, device and equipment for determining core body temperature and readable medium | |
CN109620209B (en) | Dynamic electrocardiograph, respiration and motion monitoring system and method | |
CN113160921A (en) | Construction method and application of digital human cardiovascular system based on hemodynamics | |
CN111508607A (en) | Obesity prediction system based on BP neural network | |
CN112155514A (en) | Non-contact intraocular pressure measuring method based on pulse bioelectricity detection | |
CN110353692B (en) | System and method for evaluating physical ability, fatigue and recovery ability based on biological signals | |
Liu et al. | Cuffless blood pressure measurement using smartwatches: a large-scale validation study | |
Altini et al. | Personalizing energy expenditure estimation using a cardiorespiratory fitness predicate | |
CN104799814A (en) | Qi deficiency, blood deficiency state quantitative measurement method and device | |
CN115770028A (en) | Blood pressure detection method, system, device and storage medium | |
CN113080897A (en) | System and method for evaluating sleep onset time based on physiological and environmental data analysis | |
CN104027097A (en) | Vascular function noninvasive detecting method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
C19 | Lapse of patent right due to non-payment of the annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |