CN207152582U - Body fat measuring and analysis system - Google Patents
Body fat measuring and analysis system Download PDFInfo
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- CN207152582U CN207152582U CN201720171270.8U CN201720171270U CN207152582U CN 207152582 U CN207152582 U CN 207152582U CN 201720171270 U CN201720171270 U CN 201720171270U CN 207152582 U CN207152582 U CN 207152582U
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- bracelet
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Abstract
The utility model discloses a kind of body fat measuring and analysis system, including：For the initial data for the fat thickness for gathering human body appointed part, initial data is sent to cloud data processing equipment and receives the bracelet measurement apparatus of the analysis result of cloud data processing equipment, bracelet measurement apparatus includes measurement main body and the connect band for mutually being bound with wrist, connect band is connected to measurement main body, measurement main body is provided with the near infrared emission probe for being used to launch near infrared light, for recipient's volume scattering near infrared light and change into the photoelectric sensor of output voltage, for showing the display device of analysis result and the button for controlling bracelet measurement apparatus to start；For the cloud data processing equipment by BP neural network algorithm process initial data, bracelet measurement apparatus signal is connected to cloud data processing equipment.Such a body fat measuring and analysis system can more easily measure fat mass and effectively be utilized to measuring fat mass.
Description
Technical field
Technical field of medical equipment is the utility model is related to, more particularly to a kind of body fat measuring and analysis system.
Background technology
Progress and economic growing, the incidence more and more higher of obesity with society, it turns into endangers people
The global public health problem of class health.By fat accumulation triggers various metabolic syndromes, as diabetes, hypertension and
The chronic diseases such as coronary heart disease turn into endangers human health, one of an important factor for triggering body illness.Therefore, measurement fat is thick
Degree is to checking and predicting that human health status is significant.
At present, a kind of typical detection body fat mainly utilizes " biological electricity resistance ", " skinfold mensuration ", " super
The methods of sound measurement method ", measures fat percentage, however, the restrictive condition of these measurement operations is more, is not easy to wide popularization and application,
And the fat mass measured can not be efficiently applied to the analysis of health status.
Therefore, how more easily to measure fat mass and effectively utilized to measuring fat mass, be art technology
The current technical issues that need to address of personnel.
Utility model content
In view of this, the purpose of this utility model is to provide a kind of body fat measuring and analysis system, can more facilitate
Ground measures fat mass and effectively utilized to measuring fat mass.
To achieve the above object, the utility model provides following technical scheme：
A kind of body fat measuring and analysis system, including：
Initial data for the fat thickness that gathers human body appointed part, the initial data sent to cloud data
Reason device simultaneously receives the bracelet measurement apparatus of the analysis result of the cloud data processing equipment, and the bracelet measurement apparatus includes surveying
Main body and the connect band for mutually being bound with wrist are measured, the connect band is connected to the measurement main body, described to measure in main body
Provided with the near infrared emission probe for launching near infrared light, the near infrared light for recipient's volume scattering and change into output electricity
The photoelectric sensor of pressure, the display device for showing the analysis result and for controlling the bracelet measurement apparatus to start
Button；
For the cloud data processing equipment by initial data described in BP neural network algorithm process, the bracelet is surveyed
Amount device signal is connected to the cloud data processing equipment.
Preferably, in addition to for showing and transferring the mobile terminal of the analysis result at any time, the mobile terminal letter
Number it is connected to the cloud data processing equipment.
Preferably, the near infrared emission probe is popped one's head in for dual wavelength multi-pass.
Preferably, it is additionally provided with the bracelet measurement apparatus and is touched for reducing the capacitive sensing for pressing error of the button
Transmitting apparatus.
Preferably, it is provided with the bracelet measurement apparatus for being connected with the cloud data processing equipment signal without line number
According to transceiver.
Preferably, it is additionally provided with the bracelet measurement apparatus for providing different electric currents near infrared emission probe
LED drive dynamic control devices.
Preferably, the display device is capacitance touch screen.
Preferably, the striking mechanism for showing current time and date is additionally provided with the display device.
In a kind of specific embodiment of body fat measuring and analysis system provided by the utility model, including bracelet measurement dress
Put, cloud data processing equipment, bracelet measurement apparatus signal is connected to cloud data processing equipment.
In measurement, push button, display device can prompt measuring point, start to measure work, visit near infrared emission
Head, photoelectric sensor alignment measuring point, bracelet measurement apparatus start to sample automatically to set speed, for example, it is per second 60 times, protect
Hold measurement setting time, such as 1 to 2 second, you can complete measurement operation.Wherein, measuring point can be the triceps muscle of arm, belly
Deng.Cloud data processing equipment carries out statistical analysis to the data received, and analysis result is sent into bracelet measurement apparatus, makes
User can directly learn itself fat thickness and health information from display device.
Such a body fat measuring and analysis system is according to the biological characteristics of subcutis, including near infrared light is in fat
Absorption coefficient is small in fat, is backscattering, and absorption coefficient is big in musculature, is forward scattering and human epidermal near
Infrared light well passes through the characteristics such as characteristic, by launching the near infrared light of fixed wave length to anthropological measuring part, and utilizes light
Electric transducer detects back-scattering light, with reference to special algorithm, can conveniently, accurately, quickly, non-invasively measure body fat thickness
Degree；It using bracelet pattern, can be worn on human body long duration, ensure that the real-time and periodicity of measurement, it is convenient
Continuous tracking to user's measurement data；Multi-user, the com-parison and analysis of big data and depth are dug by cloud data processing equipment
Pick, it can be specifically as follows user with accurate judgement and the health status of prediction human body and specific data summarization chart be made, do
Go out health Evaluation, disease forecasting, health status fluctuation anomaly analysis and specific Improving advice measure, help user from
Go to understand the health status in body to a deeper level, keep fit, away from disease and obesity.
Brief description of the drawings
, below will be to embodiment in order to illustrate more clearly of the utility model embodiment or technical scheme of the prior art
Or the required accompanying drawing used is briefly described in description of the prior art, it should be apparent that, drawings in the following description are only
It is embodiment of the present utility model, for those of ordinary skill in the art, on the premise of not paying creative work, also
Other accompanying drawings can be obtained according to the accompanying drawing of offer.
Fig. 1 is the structural representation that the utility model provides body fat measuring and analysis system.
Fig. 2 is that the utility model provides body fat measuring and analysis system in measurement human body triceps muscle of arm fat thickness
Operation chart；
Fig. 3 is that the utility model provides operation of the body fat measuring and analysis system in measurement human abdomen's fat thickness
Schematic diagram.
For Fig. 1 into Fig. 3,1 is capacitive sensing trigger device, and 2 be photoelectric sensor, and 3 be that near infrared emission is popped one's head in, 4 be by
Key, 5 be display device, and 6 be wireless receiver, and 7 be cloud data processing equipment, and 8 be mobile terminal.
Embodiment
Below in conjunction with the accompanying drawing in the utility model embodiment, the technical scheme in the embodiment of the utility model is carried out
Clearly and completely describing, it is clear that described embodiment is only the utility model part of the embodiment, rather than whole
Embodiment.Based on the embodiment in the utility model, those of ordinary skill in the art are not under the premise of creative work is made
The every other embodiment obtained, belong to the scope of the utility model protection.
Core of the present utility model is to provide a kind of body fat measuring and analysis system, can more easily measure fat
Measure and effectively utilized to measuring fat mass.
Fig. 1 to Fig. 3 is refer to, Fig. 1 is the structural representation that the utility model provides body fat measuring and analysis system.
Fig. 2 is that the utility model provides operation signal of the body fat measuring and analysis system in measurement human body triceps muscle of arm fat thickness
Figure；Fig. 3 is that the utility model provides operation signal of the body fat measuring and analysis system in measurement human abdomen's fat thickness
Figure.
The utility model is provided in a kind of specific embodiment of body fat measuring and analysis system, including bracelet measurement dress
Put, cloud data processing equipment 7, bracelet measurement apparatus signal is connected to cloud data processing equipment 7.
Bracelet measurement apparatus is used to gather the initial data of the fat thickness of human body appointed part, sends the initial data
To the analysis result of cloud data processing equipment and reception cloud data processing equipment 7.Bracelet measurement apparatus include measurement main body and
For the connect band mutually bound with wrist.The setting of connect band makes bracelet measurement apparatus be in wrist-watch shape, enables bracelet measurement apparatus
Enough it is bundled in wrist, to carry out measurement work at any time, or long-term carry is measured for a long time.
Wherein, measure main body be provided be used for launch near infrared light near infrared emission probe 3, for recipient's volume scattering
Near infrared light and change into the photoelectric sensor 2 of output voltage, analysis result for showing cloud data processing equipment 7 it is aobvious
Showing device 5 and the button 4 for controlling bracelet measurement apparatus to start.Photoelectric sensor 2 can specifically collect photodiode and
Signal amplifies in one, and output voltage is with the linear change of intensity of illumination, for being detected to skin scattered light intensity.
Cloud data processing equipment 7 is used to handle received original by BP (Back Propagation) neural network algorithm
Beginning data, the initial data of acquisition can be changed into by fat thickness data using BP neural network algorithm and stored, led to
The personal efficiency index information of storage and the big data of other users are crossed, can specifically be decomposed using low-rank matrix and online
Machine learning is compared analysis to data and depth is excavated, so as to form the health information of formulationization, healthy shape
Condition information can specifically include health state evaluation, disease forecasting, health status fluctuation anomaly analysis, specific Improving advice and arrange
Apply, fat thickness fluctuation, the information such as fatty data summary information, i.e. it is thick to include fat the analysis result of cloud data processing equipment 7
Angle value and health information.Cloud data processing equipment 7 can send analysis result to bracelet measurement apparatus.
In measurement, 4 are pushed button, display device 5 can prompt measuring point, start to measure work, make near infrared emission
Probe 3, photoelectric sensor 2 are directed at measuring point, and bracelet measurement apparatus starts to sample automatically to set speed, for example, per second 60
It is secondary, keep measurement setting time, such as 1 to 2 second, you can complete measurement operation.Wherein, measuring point can be the triceps muscle of arm,
Belly etc..Cloud data processing equipment 7 carries out statistical analysis to the data received, and analysis result is sent into bracelet measurement dress
Put, user can directly learn the fat thickness and health information of itself from display device 5.
It can be seen that biological characteristics of such a body fat measuring and analysis system according to subcutis, including near-infrared
Light absorption coefficient in fat is small, is backscattering, and in musculature absorption coefficient it is big, be forward scattering and people's body surface
Skin well passes through the characteristics such as characteristic near infrared light, by launching the near infrared light of fixed wave length to anthropological measuring part, and
Back-scattering light is detected using photoelectric sensor 2, with reference to special algorithm, can facilitate, be accurate, be quick, non-invasively measuring people
Body fat thickness；It using bracelet pattern, can be worn on human body long duration, ensure that real-time and the cycle of measurement
Property, the convenient continuous tracking to user's measurement data；By cloud data processing equipment 7 to multi-user, the com-parison and analysis of big data
Excavate, can be specifically as follows user with accurate judgement and the health status of prediction human body and specific data remittance is made with depth
Total chart, make health Evaluation, disease forecasting, health status fluctuation anomaly analysis and specific Improving advice measure, side
User is helped to be kept fit, away from disease and obesity from the health status gone to a deeper level in understanding body.
Wherein, connect band can be specifically connected in the side wall of measurement main body, button 4, near infrared emission probe 3, photoelectricity
Sensor 2 can be arranged in the side wall of measurement main body, and display device 5 can be arranged on the front of measurement main body, be taken with facilitating
Band and viewing.
Wherein, near infrared emission probe 3, photoelectric sensor 2 can be arranged on same measuring probe, and the measuring probe exists
It can be disposed vertically during measurement on measuring point, making the light of near-infrared probe 3 vertically into measuring point and photoelectric transfer
The light of the vertical reception measuring point of sensor 2 scattering, to ensure that measurement result is more accurate.
In above-described embodiment, body fat measuring and analysis system can also be included for showing and transferring analysis result at any time
Mobile terminal 8, the signal of mobile terminal 8 is connected to cloud data processing equipment 7.Wherein, mobile terminal 8 can specifically use WEB
The form of webpage, using Java language, ensure that user can access cloud data processing equipment in any equipment, any operating system
7.Mobile terminal 8 is specifically as follows computer, and screen is larger, can more fully reflect health information, and mobile terminal 8
In addition to it can show the analysis result of cloud data processing equipment 7, required data can also be transferred, the inquiry to information needed
There is no region, the limitation of time.
In above-mentioned each embodiment, near infrared emission probe 3 can specifically use the probe of dual wavelength multi-pass, by not
It the near infrared light of co-wavelength, different light paths, can more reflect the information of subcutis, eliminate the shakiness of optical measurement
Determine factor.Preferably, near infrared emission probe 3 can include the near infrared light transmitting tube that wavelength is respectively 850mm and 940mm,
Measurement effect is preferable.
In above-mentioned each embodiment, the electricity for pressing error for reducing button 4 is also provided with bracelet measurement apparatus
Hold induction trigger device 1.When malfunction shake occurs for button 4, measurement result may produce error, capacitive sensing trigger device
1 can detect effective touch of skin like clockwork, have waterproof and strong anti-interference ability, can ensure the sensitive of product
Degree, stability, reliability etc., bracelet measurement apparatus is set not changed because of change or the long-term use of environmental condition.
In measurement, after pushing button 4, start to measure again when capacitive sensing trigger device 1 is detected after skin effectively touches.
It can be provided with above-mentioned each embodiment, in bracelet measurement apparatus and be used to be connected with the signal of cloud data processing equipment 7
Wireless receiver 6, wireless receiver 6 can realize bracelet measurement apparatus and cloud data processing by wireless signal
Data syn-chronization between device 7, receiving and transmitting signal are more quick.What wireless receiver 6 can measure bracelet measurement apparatus
Initial data is wirelessly transmitted to cloud data processing equipment 7 and carries out Treatment Analysis, can also receive the analysis of cloud data processing equipment 7
As a result, it is passed to display device 5.
In above-mentioned each embodiment, it is also provided with being used to provide not near infrared emission probe 3 in bracelet measurement apparatus
With the LED drive dynamic control devices of electric current.By providing different electric currents near infrared emission probe 3, further eliminate measurement and miss
Difference.
Preferably, LED drive dynamic control devices can specifically use UC3842 Controlled in Current Mode and Based chip as main control chip,
Main control chip controls the LED drive dynamic control devices to export at least two electric currents near infrared emission probe 3.Using electric current as three kinds,
Exemplified by the launch wavelength of near infrared emission probe 3 is two kinds, measurement every time can obtain six characteristic quantities.
In above-mentioned each embodiment, display device 5 is specifically as follows capacitance touch screen, and the power consumption of capacitance touch screen is smaller,
Be advantageous to save the energy.
In above-mentioned each embodiment, it may be provided for showing current time and the dress that gives the correct time on date in display device 5
Put, be advantageous to improve the applicability of wrist-watch measurement apparatus.When not doing measurement work, display device 5 can regard wrist-watch and use,
When doing measurement work, display device 5 is used for the analysis result for showing measuring point.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
Body fat measuring and analysis system provided by the utility model is described in detail above.It is used herein
Specific case is set forth to principle of the present utility model and embodiment, and the explanation of above example is only intended to help
Understand method and its core concept of the present utility model.It should be pointed out that for those skilled in the art,
On the premise of not departing from the utility model principle, some improvement and modification can also be carried out to the utility model, these improve and
Modification is also fallen into the protection domain of the utility model claims.
Claims (8)
- A kind of 1. body fat measuring and analysis system, it is characterised in that including：Initial data for the fat thickness that gathers human body appointed part, the initial data is sent to cloud data processing filled Put (7) and receive the bracelet measurement apparatus of the analysis result of the cloud data processing equipment (7), the bracelet measurement apparatus includes Measurement main body and the connect band for mutually being bound with wrist, the connect band are connected to the measurement main body, the measurement main body It is provided with the near infrared emission probe (3) for being used to launch near infrared light, the near infrared light for recipient's volume scattering and changes into The photoelectric sensor (2) of output voltage, the display device (5) for showing the analysis result and for controlling the bracelet The button (4) that measurement apparatus starts；For the cloud data processing equipment (7) by initial data described in BP neural network algorithm process, the bracelet is surveyed Amount device signal is connected to the cloud data processing equipment (7).
- 2. body fat measuring and analysis system according to claim 1, it is characterised in that also including for showing and at any time The mobile terminal (8) of the analysis result is transferred, mobile terminal (8) signal is connected to the cloud data processing equipment (7).
- 3. body fat measuring and analysis system according to claim 1, it is characterised in that the near infrared emission probe (3) popped one's head in for dual wavelength multi-pass.
- 4. body fat measuring and analysis system according to claim 1, it is characterised in that in the bracelet measurement apparatus also Provided with the capacitive sensing trigger device (1) for pressing error for reducing the button (4).
- 5. body fat measuring and analysis system according to claim 1, it is characterised in that set in the bracelet measurement apparatus There is the wireless receiver (6) for being connected with cloud data processing equipment (7) signal.
- 6. the body fat measuring and analysis system according to claim 1 to 5 any one, it is characterised in that the bracelet Be additionally provided with the LED drive dynamic control devices for different electric currents to be provided near infrared emission probe (3) in measurement apparatus.
- 7. body fat measuring and analysis system according to claim 6, it is characterised in that the display device (5) is electricity Hold touch-screen.
- 8. body fat measuring and analysis system according to claim 6, it is characterised in that in the display device (5) also Provided with the striking mechanism for showing current time and date.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720171270.8U CN207152582U (en) | 2017-02-24 | 2017-02-24 | Body fat measuring and analysis system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720171270.8U CN207152582U (en) | 2017-02-24 | 2017-02-24 | Body fat measuring and analysis system |
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| Publication Number | Publication Date |
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| CN207152582U true CN207152582U (en) | 2018-03-30 |
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ID=61708570
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| CN201720171270.8U Expired - Fee Related CN207152582U (en) | 2017-02-24 | 2017-02-24 | Body fat measuring and analysis system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110085320A (en) * | 2019-04-23 | 2019-08-02 | 延安大学 | A kind of individual's changes of weight forecasting system and method |
| CN111067573A (en) * | 2019-12-31 | 2020-04-28 | 南京手声信息科技有限公司 | Fat thickness detection device |
| CN111508607A (en) * | 2020-04-13 | 2020-08-07 | 山东师范大学 | Obesity prediction system based on BP neural network |
| CN113520342A (en) * | 2020-04-16 | 2021-10-22 | 华为技术有限公司 | Blood pressure detection method and device |
-
2017
- 2017-02-24 CN CN201720171270.8U patent/CN207152582U/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110085320A (en) * | 2019-04-23 | 2019-08-02 | 延安大学 | A kind of individual's changes of weight forecasting system and method |
| CN111067573A (en) * | 2019-12-31 | 2020-04-28 | 南京手声信息科技有限公司 | Fat thickness detection device |
| CN111508607A (en) * | 2020-04-13 | 2020-08-07 | 山东师范大学 | Obesity prediction system based on BP neural network |
| CN111508607B (en) * | 2020-04-13 | 2023-10-13 | 山东师范大学 | Obesity prediction system based on BP neural network |
| CN113520342A (en) * | 2020-04-16 | 2021-10-22 | 华为技术有限公司 | Blood pressure detection method and device |
| EP4129164A4 (en) * | 2020-04-16 | 2023-05-31 | Huawei Technologies Co., Ltd. | Blood pressure detection method and device |
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| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180330 |
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| CF01 | Termination of patent right due to non-payment of annual fee |