CN105433934A - Method for personal health examination and evaluation based on vital sign monitor bracelet - Google Patents
Method for personal health examination and evaluation based on vital sign monitor bracelet Download PDFInfo
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- CN105433934A CN105433934A CN201510786201.3A CN201510786201A CN105433934A CN 105433934 A CN105433934 A CN 105433934A CN 201510786201 A CN201510786201 A CN 201510786201A CN 105433934 A CN105433934 A CN 105433934A
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Abstract
The invention provides a method for personal health examination and evaluation based on a vital sign monitor bracelet. The method comprises a steps S1 of wearing the vital sign monitor bracelet with functions of monitoring pulse rate and oxyhemoglobin saturation on a wrist, setting a data collection mode, the data continuous collection time and the data collection frequency of the bracelet first before data collection; a step S2 of collecting the oxyhemoglobin saturation, the pulse rate and body movement data of the wrist of a user in real time through the bracelet; a step S3 of analyzing the oxyhemoglobin saturation and the pulse rate data; a step S4 of analyzing the body movement data of the wrist; and a step S5 of performing weighted calculation on analytical data in the S3 and S4 steps to judge whether health hazards exist in the user according to whether the calculating result exceeds certain threshold value or not. According to the method, the health examination and evaluation are performed on the user by joint law of multiple parameters, such as the pulse rate, blood oxygen and the like. The method has the advantages of being convenient to operate and high in accuracy of determination and helping the user to discover the body health hazards as soon as possible.
Description
Technical field
The present invention relates to healthy detection field, be specifically related to a kind of personal health based on vital signs bracelet and check evaluating method.
Background technology
Along with live and work tempo increase and competitive pressure increase, and the expansion of social experience and the change of mode of thinking, some potential impacts are brought to the healthy of people, also make increasing crowd's health be in sub-health state, the importance of therefore health health check-up seems further important.Present people also more and more payes attention to the healthy of oneself and household, routine health check-up is carried out in every annual meeting, mostly the mode of health check-up is to have been come to hospital or health check-up mechanism by check-up equipment, but generally such mode all needs specialist to operate, program is loaded down with trivial details, selling at exorbitant prices, length consuming time, and the health check-up cycle longer discovery being early unfavorable for health problem.
At present along with the development of Medical Technology, emerge instrument or the method for many healthy evaluation and tests based on using in home environment, convenient to operation, the feature such as price is not high, Detection results is good existing for himself, contribute to user and find healthy hidden danger early, therefore, the favor of consumers in general is obtained.The instrument that the health taking a broad view of current use is evaluated and tested or method are often by means of collection and the analysis of all kinds of physiological parameter of human body, the data such as such as electrocardio, blood pressure, blood oxygen, heart rate, the oxygen concentration wherein in blood of human body and blood oxygen saturation and being determined at of pulse frequency are of great significance clinically.
Summary of the invention
The object of the invention is to provide a kind of personal health based on vital signs bracelet to check evaluating method, by gathering the characteristics of human body such as pulse frequency and blood oxygen saturation sample parameter, analysis and calculation is carried out by the associating rule of the multiparameters such as pulse frequency and blood oxygen, personal health inspection evaluation and test is carried out to user, operation does not need the interference of specialist, real-time, judge that accuracy is high, contribute to user and find healthy hidden danger early.
To achieve these goals, the present invention is by the following technical solutions:
Personal health based on vital signs bracelet checks an evaluating method, comprises the steps:
S1: wrist place wears the vital signs bracelet with monitoring pulse frequency and blood oxygen saturation function, before image data, first sets the data acquisition scheme of vital signs bracelet, data persistence acquisition time and data acquiring frequency; The data acquisition scheme of described vital signs bracelet is automatic drainage pattern, according to the sleep habit adjustment sleep initial time of user oneself, data persistence acquisition time is that continuous collecting is not less than 7 hours, and data acquiring frequency is for being not less than sampled point in 2 second.Preferably, data persistence acquisition time is continuous collecting 7 hours, and data acquiring frequency is sampled point in 1 second.
S2: by the blood oxygen saturation of vital signs bracelet Real-time Collection user, pulse frequency and wrist place limb motion data;
S3: analyze blood oxygen saturation and pulse rate data:
A, determine minimum blood oxygen levels in nighttime sleep process, average blood oxygen levels, minimal heart rate value, maximum heart rate value, average heart rate value;
B, determine that oxygen in nighttime sleep process subtracts the number of times that process number of times and pulse frequency grow beyond 6bpm;
C, determine that oxygen in nighttime sleep process subtracts process and increases with pulse frequency the number of times that process becomes corresponding relation in time;
S4: setting motion threshold value, analyzes wrist place limb motion data:
A, nighttime sleep exceed number of times and the persistent period of motion threshold value;
B, nighttime sleep are lower than the number of times of motion threshold value and persistent period;
Whether S5: be weighted for the analytical data in S3, S4 step, exceed certain threshold value according to result of calculation, judges whether user exists the hidden danger of healthy aspect.
The computing formula used in described step S5 is: PTS A=A1* high confidence level oxygen subtracts score+A2* low confidence oxygen and subtracts score+A3* body kinematics score, wherein:
The reference index that high confidence level oxygen subtracts score is that the oxygen at night obtained from step S3 subtracts process and pulse frequency and increases the number that process time mates, and the criterion of coupling is set to night blood oxygen oxygen and subtracts the time phase difference that time of process minimum point and night, pulse frequency increased process peak point and be no more than 10 seconds;
The reference index that low confidence oxygen subtracts score is that the blood oxygen oxygen at night obtained from step S3 subtracts process number of times and oxygen and subtracts process and pulse frequency and increase the number that process time mates, described night blood oxygen oxygen to subtract process number of times be the continuous decline that oxygen is kept to blood oxygen and occurred more than 5% in 2 minutes;
The reference index of body kinematics score is the number of times that the night movement obtained from step S4 exceeds thresholding, and the number of times that described night movement exceeds thresholding is that once to exceed threshold de be that the numerical value of 1 or continuous multiple time point exceeds motion decision threshold.
A1, A2, A3 are weight coefficient; Preferably, described weight coefficient A1=2, A2=0.5, A3=0.2, if described result of calculation PTS A is greater than 30 points, then thinks healthy and there is hidden danger, need to seek medical advice in time.
Compared with prior art, the invention has the beneficial effects as follows: this method is by gathering the feature samples such as pulse frequency and blood oxygen saturation parameter, the associating rule of the multiparameter such as pulse frequency and blood oxygen saturation is used to carry out analysis and calculation, personal health inspection evaluation and test is carried out to user, operation does not need the intervention of specialist, when nighttime sleep, only need to wear at wrist place the vital signs bracelet with monitoring pulse frequency and blood oxygen saturation function and can complete healthy evaluation and test task, both can not align normal sleep and bring impact, also can not interfere with and work normally and live daytime.The method have convenient to operation, real-time, use cost is low, judge accuracy advantages of higher.
Accompanying drawing explanation
Fig. 1 is that the personal health based on vital signs bracelet of the embodiment of the present invention checks evaluating method flow chart.
Specific embodiments
For making object of the present invention, content and advantage clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
The principle that the present invention is based on is: this method is by gathering the characteristics of human body such as pulse frequency and blood oxygen saturation sample parameter, uses the associating rule of the multiparameter such as pulse frequency and blood oxygen to carry out analysis and calculation, carries out personal health inspection evaluation and test to user.
As shown in Figure 1, a kind of personal health based on vital signs bracelet checks evaluating method, comprises the steps:
S1: wrist place wears the vital signs bracelet with monitoring pulse frequency and blood oxygen saturation function, before image data, first sets the data acquisition scheme of vital signs bracelet, data persistence acquisition time and data acquiring frequency; The data acquisition scheme of vital signs bracelet is set to automatic drainage pattern, according to the sleep habit adjustment sleep initial time of user oneself, such as be set as that 23:00 starts to gather, monitoring time span can adjust in the scope being no more than the longest storage depth, such as according to doctor advised, the continuous collecting data of 7 hours can be set to.
S2: vital signs bracelet is in user sleep procedure, and Real-time Collection user sign data, comprises blood oxygen saturation, pulse frequency and wrist place limb motion data; According to medical science comparison requirement, the frequency of Real-time Collection must ensure to be not less than every two seconds data points; General Requirements is the storing frequencies of a data point in 1 second, otherwise does not have obvious medical science judgement reference; Monitoring Data is transferred to the observable user interface of software of doctor and background data base by bluetooth or other wire/wireless data path.
The impact of calculating accuracy to pulse frequency and pulse oximeter due to limb motion is comparatively large, therefore in processes, needs according to body kinematics situation at night especially, gets rid of due to kinetic bad point; Treatment principle is: according to the motion threshold value of setting, gets rid of the data of before and after the time point that exceeds standard of moving 10 seconds.
Numerical indication required for extracting residue trusted data, comprising:
(1) reliable sleep initial time TSleep_start, the decision method obtaining this value is: after user detects and starts, if there is the motion conditions of more than 5 minutes not super thresholdings; Meanwhile, in these 5 minutes, change if there is pulse frequency the number of times exceeding 10bpm and be less than 2 times, the judgement to this time point can be strengthened; This time point may have multiple;
(2) sleep dwell time TSleep_stop, and the decision method obtaining this value is: in sense cycle, and if there is the situation of continuous more than the 1 minute super thresholding of motion, think that user sleep stops, this time point may have multiple;
(3) according to the judgement in (1), (2), obtain the division of the section length of one's sleep, be labeled as Tsleep_T1, Tsleep_T2 .... according to the difference of user situation, one or more of section may be had length of one's sleep;
(4) night blood oxygen maximum SpO2max: this value is the blood oxygen maximum in all lengths of one's sleep section;
(5) night blood oxygen minima SpO2min: this value is the blood oxygen minima in all lengths of one's sleep section;
(6) night pulse frequency maximum PRmax: this value is the pulse frequency maximum in all lengths of one's sleep section;
(7) night pulse frequency minima PRmin: this value is the pulse frequency minima in all lengths of one's sleep section;
(8) night blood oxygen meansigma methods SpO2mean: this value is the meansigma methods of blood oxygen in all lengths of one's sleep section;
(9) night pulse frequency average value P Rmean: this value is the meansigma methods of pulse frequency in all lengths of one's sleep section;
(10) night, blood oxygen oxygen subtracted process number of times SpO2DownNum: define oxygen and be kept to the continuous decline that blood oxygen occurred more than 5% in 2 minutes;
(11) night, blood oxygen oxygen subtracted time TSpO2Down_1, TSpO2Down_2, TSpO2Down_3 of process minimum point ....
(12) night, pulse frequency increased process number of times PRDownNum: define pulse frequency and increase to the continuous rising occurred in 2 minutes more than 6bpm;
(13) night, pulse frequency increased time TPRDown_1, TPRDown_2, TPRDown_3 of process peak point ....
(14) night movement exceeds the number of times MoveOverThresNum of thresholding: once exceeding threshold de is that the numerical value of 1 or continuous multiple time point exceeds motion decision threshold;
(15) find out oxygen to subtract process and increase with pulse frequency the number SpO2PRMatchNum that process time mates: the criterion of coupling can be set to TSpO2Down_i and TPRDown_i and differ and be no more than 10 seconds.
S3: analyze blood oxygen saturation and pulse rate data:
A, determine minimum blood oxygen levels in nighttime sleep process, average blood oxygen levels, minimal heart rate value, maximum heart rate value, average heart rate value;
B, determine that oxygen in nighttime sleep process subtracts the number of times that process number of times and pulse frequency grow beyond 6bpm;
C, determine that oxygen in nighttime sleep process subtracts process and increases with pulse frequency the number of times that process becomes corresponding relation in time;
S4: analyze wrist place limb motion data:
Number of times and the persistent period of motion threshold value is exceeded in A, nighttime sleep;
Lower than the number of times of motion threshold value and persistent period in B, nighttime sleep;
S5: draw evaluation result according to following scoring matrix for the analytical data in above step
| Classification | Indicate | Coefficient |
| High confidence level oxygen subtracts score | SpO2PRMatchNum | 2 |
| Low confidence oxygen subtracts score | SpO2DownNum-SpO2PRMatchNum | 0.5 |
| Body kinematics score | MoveOverThresNum | 0.2 |
The computing formula used is:
PTS A=2* high confidence level oxygen subtracts score+0.5* low confidence oxygen and subtracts score+0.2* body kinematics score; After score is added, PTS A is greater than 30, then think healthy and there is hidden danger, need to seek medical advice in time.
Above the personal health based on vital signs bracelet provided by the invention is checked that evaluating method is described in detail, apply specific case herein to set forth the principle of invention and embodiment, the explanation of above embodiment just understands core concept of the present invention for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, detailed description of the invention and range of application all will change, in sum, this description should not be construed as limitation of the present invention.
Claims (9)
1. the personal health based on vital signs bracelet checks an evaluating method, it is characterized in that, comprises the steps:
S1: wrist place wears the vital signs bracelet with monitoring pulse frequency and blood oxygen saturation function, Real-time Collection human body physiological parameter data, before image data, first set the data acquisition scheme of vital signs bracelet, data persistence acquisition time and data acquiring frequency;
S2: by vital signs bracelet Real-time Collection user blood oxygen saturation, pulse frequency and wrist place limb motion data;
S3: analyze blood oxygen saturation and pulse rate data:
A, determine minimum blood oxygen levels in nighttime sleep process, average blood oxygen levels, minimal heart rate value, maximum heart rate value, average heart rate value;
B, determine that oxygen in nighttime sleep process subtracts the number of times that process number of times and pulse frequency grow beyond 6bpm;
C, determine that oxygen in nighttime sleep process subtracts process and increases with pulse frequency the number of times that process becomes corresponding relation in time;
S4: setting motion threshold value, analyzes wrist place limb motion data:
Number of times and the persistent period of motion threshold value is exceeded in A, nighttime sleep;
Lower than the number of times of motion threshold value and persistent period in B, nighttime sleep;
Whether S5: be weighted for the analytical data in S3, S4 step, exceed certain threshold value according to result of calculation, judges whether user exists healthy hidden danger.
2. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 1, it is characterized in that: the computing formula used in described step S5 is: PTS A=A1* high confidence level oxygen subtracts score+A2* low confidence oxygen and subtracts score+A3* body kinematics score
Wherein, A1, A2, A3 are weight coefficient;
The reference index that high confidence level oxygen subtracts score is that the oxygen at night obtained from step S3 subtracts process and pulse frequency and increases the number that process time mates;
The reference index that low confidence oxygen subtracts score is that the blood oxygen oxygen at night obtained from step S3 subtracts process number of times and oxygen and subtracts process and pulse frequency and increase the number that process time mates;
The reference index of body kinematics score is the number of times that the night movement obtained from step S4 exceeds thresholding.
3. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 2, it is characterized in that: described weight coefficient A1=2, A2=0.5, A3=0.2.
4. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 2, it is characterized in that: if described result of calculation PTS A is greater than 30 points, then thinks healthy and there is hidden danger.
5. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 2, it is characterized in that: described night blood oxygen oxygen to subtract process number of times be the continuous decline that oxygen is kept to blood oxygen and occurred more than 5% in 2 minutes.
6. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 2, it is characterized in that: the number of times that described night movement exceeds thresholding is that once to exceed threshold de be that the numerical value of 1 or continuous multiple time point exceeds motion decision threshold.
7. a kind of personal health based on vital signs bracelet checks evaluating method as claimed in claim 2, it is characterized in that: oxygen subtracted process and increased with pulse frequency the number that process time mates described night, the criterion of coupling is set to night blood oxygen oxygen and subtracts the time phase difference that time of process minimum point and night, pulse frequency increased process peak point and be no more than 10 seconds.
8. a kind of personal health based on vital signs bracelet as described in claim as arbitrary in claim 1-7 checks evaluating method, it is characterized in that: the data acquisition scheme of described vital signs bracelet is automatic drainage pattern, according to the sleep habit adjustment sleep initial time of user, data persistence acquisition time is that continuous collecting is not less than 7 hours, and data acquiring frequency is for being not less than sampled point in 2 second.
9. a kind of personal health based on vital signs bracelet as described in claim as arbitrary in claim 1-7 checks evaluating method, it is characterized in that: the data acquisition scheme of described vital signs bracelet is automatic drainage pattern, according to the sleep habit adjustment sleep initial time of user, data persistence acquisition time is continuous collecting 7 hours, and data acquiring frequency is sampled point in 1 second.
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Cited By (7)
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| CN107348961A (en) * | 2017-08-30 | 2017-11-17 | 上海市共进医疗科技有限公司 | A kind of device and method for judging sleep apnea and intervening |
| CN107669248A (en) * | 2017-09-29 | 2018-02-09 | 长春市万易科技有限公司 | Old man's dynamic pulse continuous detecting system and method |
| CN109043749A (en) * | 2018-07-11 | 2018-12-21 | 安徽捷峰电子科技有限公司 | A kind of mobile healthy bracelet monitor system |
| CN109545392A (en) * | 2018-10-26 | 2019-03-29 | 平安科技（深圳）有限公司 | Long-distance monitoring method, device, equipment and medium based on Internet of Things |
| JP2019513433A (en) * | 2016-04-15 | 2019-05-30 | コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． | System and method for evaluating changes in heart rate of a subject |
| CN110051336A (en) * | 2019-04-24 | 2019-07-26 | 京东方科技集团股份有限公司 | Handle the method, apparatus and storage medium of physiological data |
| CN111685742A (en) * | 2020-06-16 | 2020-09-22 | 德阳市人民医院 | Evaluation system and method for treating stroke |
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2015
- 2015-11-07 CN CN201510786201.3A patent/CN105433934A/en not_active Withdrawn
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019513433A (en) * | 2016-04-15 | 2019-05-30 | コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． | System and method for evaluating changes in heart rate of a subject |
| CN107348961A (en) * | 2017-08-30 | 2017-11-17 | 上海市共进医疗科技有限公司 | A kind of device and method for judging sleep apnea and intervening |
| CN107669248A (en) * | 2017-09-29 | 2018-02-09 | 长春市万易科技有限公司 | Old man's dynamic pulse continuous detecting system and method |
| CN107669248B (en) * | 2017-09-29 | 2024-02-02 | 长春市万易科技有限公司 | Dynamic pulse continuous detection system and method for old people |
| CN109043749A (en) * | 2018-07-11 | 2018-12-21 | 安徽捷峰电子科技有限公司 | A kind of mobile healthy bracelet monitor system |
| CN109545392A (en) * | 2018-10-26 | 2019-03-29 | 平安科技（深圳）有限公司 | Long-distance monitoring method, device, equipment and medium based on Internet of Things |
| CN109545392B (en) * | 2018-10-26 | 2024-03-01 | 平安科技（深圳）有限公司 | Remote monitoring method, device, equipment and medium based on Internet of things |
| CN110051336A (en) * | 2019-04-24 | 2019-07-26 | 京东方科技集团股份有限公司 | Handle the method, apparatus and storage medium of physiological data |
| CN111685742A (en) * | 2020-06-16 | 2020-09-22 | 德阳市人民医院 | Evaluation system and method for treating stroke |
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Address after: 610041 Sichuan city of Chengdu province high tech Zone jiaozi Avenue E International Center, No. 333 in the sea 802-803 Applicant after: CloudCare Healthcare Co., Ltd. Applicant after: Liang Zongan Address before: 610041 Sichuan city of Chengdu province high tech Zone jiaozi Avenue E International Center, No. 333 in the sea 802-803 Applicant before: Chengdu Ai Keerte medical science and technology company limited Applicant before: Liang Zongan |
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