CN203118166U - Organism falling-off detection device - Google Patents
Organism falling-off detection device Download PDFInfo
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- CN203118166U CN203118166U CN 201220155033 CN201220155033U CN203118166U CN 203118166 U CN203118166 U CN 203118166U CN 201220155033 CN201220155033 CN 201220155033 CN 201220155033 U CN201220155033 U CN 201220155033U CN 203118166 U CN203118166 U CN 203118166U
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Abstract
The utility model discloses an organism falling-off detection device. The organism falling-off detection device comprises the following components: a falling-off detection unit which acquires the acceleration information of the organism; a blood pressure monitoring unit which acquires blood pressure and/or pulse information of the organism; a body temperature monitoring unit which acquires and processes the body temperature information of the organism; and a micro-processing unit which has the following functions: causing the falling-off monitoring unit to start and receive the acceleration information of the organism, performing analysis and determination on the acceleration information, starting the blood pressure monitoring unit and the body temperature monitoring unit according to the determination result, detecting the blood pressure and/or pulse information and body temperature information of the organism, and generating falling-off warning information or critical ill warning information according to the processing result. The organism falling-off detection device can determine the type of falling accurately and effectively.
Description
Technical field
The utility model relates to electronic applications, particularly relates to a kind of biosome fall detection device.
Background technology
Along with the aggravation of China's aging population and the raising of people's living standard, the elderly's health problem has become the aspect that need pay close attention to.The old man falls and causes that very easily cerebral apoplexy, cerebral hemorrhage etc. cause permanent disability and dead disease.If can give treatment to it in the shortest time, the just greatly reduction of the degree injury of falling the elderly being produced.
The existing monitor and alarm system of falling is divided three classes: based on the monitor and alarm system of falling of video image, based on the monitor and alarm system of falling of acoustics, based on the monitor and alarm system of falling of acceleration transducer.
The monitor and alarm system of falling based on video image is in the goal activities zone camera to be installed, and goal behavior is observed, and monitors the generation of whether falling by image process method.This monitoring system cost height of falling, and it is huge to be subjected to the influence of zone of action.
Be that sound signal when falling by analysis is monitored based on the monitor and alarm system of falling of acoustics, this monitoring mode accuracy is lower, the False Rate of falling height.
The monitor and alarm system of falling based on acceleration transducer is gathered action message by the acceleration sensing that is worn on the biosome, and monitoring is differentiated in the behavior of falling.Use more extensive based on the monitor and alarm system of falling of this technology at present.But the monitoring alarm of falling of prior art is only reported to the police to this feature of falling, and lacks concrete using value.Generally be divided into two kinds because fall, namely pathologic is fallen and is fallen with non-pathologic.Under the situation that non-pathologic is fallen, target can oneself stand and be returned to normal state, can't cause accordingly pathology rapidly, injures the healthy of old man.Pathologic is fallen and then may be caused the rapid deterioration of old man's health, injures old man's healthy or even life security.
In sum, existing technology can't be judged the type when biosome falls accurately and effectively.
The utility model content
Based on this, be necessary at the monitoring alarm of falling of prior art this feature of falling to be reported to the police, lack concrete using value problem, a kind of biosome fall detection device that pathologic is fallen and reported to the police is provided.
A kind of biosome fall detection device for realizing that the utility model purpose provides comprises the monitoring means of falling, monitoring of blood pressure unit and microprocessing unit;
The described monitoring means of falling under the control of described microprocessing unit, carries out acquisition process to the acceleration information of biosome, and the acceleration information that sends described acquisition process is to described microprocessing unit;
Described monitoring of blood pressure unit under the control of described microprocessing unit, carries out acquisition process to blood pressure and/or the pulse information of biosome, and sends the blood pressure of described acquisition process and/or pulse information to described microprocessing unit;
Described microprocessing unit, control the acceleration information that the described monitoring means of falling starts and receive described biosome, and to described acceleration information analysis and judgement, and start described monitoring of blood pressure unit according to judged result, detect blood pressure and/or the pulse information of described biosome and carry out analyzing and processing, and generate warning message according to result.
Preferably, described biosome fall detection device also comprises the temperature monitoring unit, under the control of described microprocessing unit, the body temperature information of biosome is gathered and handled, and the body temperature information that transmission is gathered is to described microprocessing unit;
Described little process information also starts described temperature monitoring unit according to judged result, detects the body temperature information of described biosome and carries out analyzing and processing, and generate warning message according to result.
Preferably, described biosome fall detection device also comprises positioning unit, data transmission unit and display unit, is connected to described microprocessing unit;
Described positioning unit obtains the positional information of described biosome fall detection device;
Described data transmission unit sends fall warning message or the sick anxious warning message that generate through described microprocessing unit;
Described display unit, input control information, demonstration output information.
Preferably, the described monitoring means of falling comprises acceleration transducer, acceleration signal processing module;
Described acceleration transducer is 3-axis acceleration sensor, gathers and send the biosome acceleration information to described acceleration signal processing module;
Described acceleration signal processing module, receive the biosome acceleration information that described acceleration transducer collects, described biosome acceleration information is amplified and filtering and analog to digital conversion, and the acceleration information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit.
Preferably, described monitoring of blood pressure unit comprises light emission module, Optical Receivers and pulse wave processing module;
Described light emission module is under the control of described microprocessing unit, to biosome emission dual wavelength light;
Described Optical Receivers receives the dual wavelength light that biosome is reflected, and the light signal that receives is converted to electric signal, and this electric signal is transferred to described pulse wave processing module;
Described pulse wave processing module, to electric signal amplify, filtering, secondary amplifies and analog to digital conversion, the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit;
Described temperature monitoring unit comprises temperature sensor and processes temperature signal module;
Biosome body temperature information is gathered and sent to described temperature sensor to described processes temperature signal module;
Described processes temperature signal module receives the biosome body temperature information that described temperature sensor is gathered, and described biosome temperature information is amplified and filtering and analog to digital conversion, and the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit.
Preferably, described microprocessing unit comprises that subelement is handled in acceleration analysis, the pulsation analysis of blood pressure is handled subelement, body temperature analyzing and processing subelement and information and generated subelement;
Wherein:
Subelement is handled in described acceleration analysis, and the described acceleration information of the described biosome that receives is analyzed, and judges and starts described monitoring of blood pressure unit and temperature monitoring unit according to judged result;
Described pulsation analysis of blood pressure is handled subelement, detect blood pressure and/or the pulsation information of described biosome, and blood pressure and/or the pulsation information of described biosome are carried out analyzing and processing, judged whether that blood pressure sudden change situation takes place, generate the blood pressure condition information, send to described information and generate subelement;
Described body temperature analyzing and processing subelement detects the body temperature information of described biosome, and the body temperature information of described biosome is carried out analyzing and processing, judges whether biosome body temperature has the sudden change situation to take place, and generates the body temperature condition information, sends to described information generating unit;
Described information generates subelement, according to the blood pressure condition information that receives and body temperature condition information, judges whether biosome pathologic takes place fall, and when biosome generation pathologic is fallen, generates warning message.
The beneficial effects of the utility model: biosome fall detection device described in the utility model, by monitoring bio body pulse and/or blood pressure and body temperature, it can judge the type of being fallen accurately and effectively, and by monitoring location coordinate information spotting, just can give treatment to the user of pathologic taking place falling in the shortest time, thereby greatly the reduction of degree is fallen to the particularly injury that produces of the elderly of user.
Description of drawings
Fig. 1 is the utility model embodiment biosome fall detection apparatus structure synoptic diagram;
Fig. 2 is the utility model embodiment biosome fall detection device monitoring of blood pressure cell schematics;
Fig. 3 is the utility model embodiment biosome fall detection device determination methods process flow diagram;
The variation synoptic diagram of pulse wave curves when Fig. 4 falls state for the utility model biosome fall detection device.
Embodiment
For the purpose, technical scheme and the advantage that make the utility model biosome fall detection device and method clearer, below in conjunction with concrete drawings and the specific embodiments, the utility model biosome fall detection device and method is further elaborated.
Among the utility model embodiment; be that human body is described the utility model with described biosome; but; should be noted that; the utility model is equally applicable to the other biological body; as panda etc., if the other biological body uses biosome fall detection apparatus and method of the present utility model, be subjected to the protection of the utility model claim equally.
Biosome fall detection device of the present utility model is worn on the human body wrist position, is similar to sport wrist-watch.
As shown in Figure 1, the utility model biosome fall detection device comprises the monitoring means 100 of falling, monitoring of blood pressure unit 200, temperature monitoring unit 300, positioning unit 400, data transmission unit 500 and microprocessing unit 600;
Fall monitoring means 100, monitoring of blood pressure unit 200, temperature monitoring unit 300, positioning unit 400 and data transmission unit 500 is connected to microprocessing unit 600.
The monitoring means 100 of falling is used under the control of described microprocessing unit, and the acceleration information of biosome is carried out acquisition process, and the acceleration information that sends described acquisition process is to microprocessing unit 600;
Monitoring of blood pressure unit 200 is used under the control of described microprocessing unit, and blood pressure and/or the pulse information of biosome carried out acquisition process, and sends the blood pressure of described acquisition process and/or pulse information to described microprocessing unit 600;
Be used under the control of described microprocessing unit the body temperature information of biosome being gathered and being handled, and the body temperature information that transmission is gathered is to described microprocessing unit 600 in temperature monitoring unit 300;
Preferably, institute position positioning unit 400 is the GPS positioning equipment.
Preferably, described warning message include but not limited to fall warning message and/or sick anxious warning message.
The monitoring means 100 of falling comprises acceleration transducer 101 and coupled acceleration signal processing module 102; Acceleration signal processing module 102 connects microprocessing unit 600;
As a kind of embodiment, acceleration transducer 101 adopts three dimension acceleration sensor to carry out fall detection;
Acceleration signal processing module 102, be used for receiving the biosome acceleration information that described acceleration transducer 101 collects, described biosome acceleration information is amplified and filtering and analog to digital conversion, and the acceleration information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit 600.
Monitoring of blood pressure unit 200 carries out indirect calculation by the pulse wave at monitoring wrist place, and monitoring of blood pressure unit 200 comprises light emission module 201, Optical Receivers 202 and pulse wave processing module 203;
Pulse wave processing module 203, be used for to electric signal amplify, filtering, secondary amplifies and analog to digital conversion, the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit 600.
As shown in Figure 2, as a kind of embodiment, light emission module 201 is made up of LED and led drive circuit; It is luminous that led drive circuit produces constant current driven LED, light is through the reflection of human body, the light that returns is received by Optical Receivers 202, light signal is converted to electric signal, this electric signal reaches after by pulse wave processing module 203 signal conditions and carries out computing and processing in the microprocessing unit 600, as shown in Figure 2.
Processes temperature signal module 302, be used for receiving the biosome body temperature information that described temperature sensor 301 is gathered, described biosome temperature information is amplified and filtering and analog to digital conversion, and the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit 600.
As a kind of embodiment, described temperature sensor 301 adopts DS18B20 unibus digital sensor, the precision height, and data are obtained and are powered conveniently.
Wherein:
Subelement is handled in acceleration analysis, is used for the described acceleration information of the described biosome that receives is analyzed, and judges and starts described monitoring of blood pressure unit and temperature monitoring unit according to judged result;
The pulsation analysis of blood pressure is handled subelement, for detection of blood pressure and/or the pulsation information of described biosome, and blood pressure and/or the pulsation information of described biosome carried out analyzing and processing, judged whether that blood pressure sudden change situation takes place, generate the blood pressure condition information, send to described information generating unit;
Body temperature analyzing and processing subelement for detection of the body temperature information of described biosome, and carries out analyzing and processing to the body temperature information of described biosome, judges whether biosome body temperature has the sudden change situation to take place, and generates the body temperature condition information, sends to described information generating unit;
Information generating unit is used for judging according to the blood pressure condition information and the body temperature condition information that receive whether biosome pathologic takes place fall, and when biosome generation pathologic is fallen, generates warning message.
As a kind of embodiment, the utility model biosome fall detection device also comprises a display unit 700, is connected with microprocessing unit 600, is used for input control information, shows output information.
Preferably, described display unit is a touch-control display screen 700.
Correspondingly, for realizing that the purpose of this utility model also provides a kind of biosome fall detection method, as shown in Figure 3, may further comprise the steps:
Step S100, the described monitoring means of falling of microprocessing unit control starts, and the monitoring means of falling carries out acquisition process to the acceleration information of biosome, and the acceleration information that sends described acquisition process is to described microprocessing unit;
Step S200, the monitoring means of falling receives the acceleration information of described biosome, and to described acceleration information analysis and judgement, and starts described monitoring of blood pressure unit and temperature monitoring unit according to judged result;
Step S300, described monitoring of blood pressure unit and temperature monitoring unit detect blood pressure and/or pulse information, the body temperature information of described biosome and carry out analyzing and processing, and generate warning message according to result.
Preferably, as a kind of embodiment, among the described step S300, the pulsation of detection of biological body and/or blood pressure information carry out analyzing and processing, comprise the steps:
Step S311 is respectively the light of 660nm and 1100nm to the biosome emission wavelength, receives and the light signal of conversion reflection is electric signal, calculates the biosome pressure value according to the photoplethaysmography method again;
Step S312 judges when the biosome pressure value according to biosome pulsation and blood pressure information and to reduce or during the rising pre-set threshold, judging has blood pressure sudden change situation to take place, generation blood pressure condition information; Otherwise, there is not blood pressure sudden change situation to take place, do not generate the blood pressure condition information.
Preferably, as a kind of embodiment, among the described step S300, the body temperature information of detection of biological body is also carried out analyzing and processing, comprises the steps:
Step S321 detects the body temperature information that obtains biosome;
Step S322 has judged whether that according to biological body temperature information body temperature sudden change situation takes place; If biosome body temperature raises or reduces by 1 ℃, judge that then biological body temperature has the sudden change situation to take place, and generates the body temperature condition information of biosome; Otherwise, there is not biosome body temperature sudden change situation to take place, do not generate biosome body temperature condition information.
As a kind of embodiment, among the step S200, the monitoring means of falling carries out analyzing and processing to the acceleration information of biosome, comprises the steps:
The 3-axis acceleration of the biosome that collects according to 3-axis acceleration sensor, by formula, (1) calculates human body acceleration strength vector SMV (Signal MagnitudeVector) according to three axial acceleration,
Wherein: be respectively the accekeration on x axle, y axle, the z direction of principal axis.X axle, y axle, z axle be respectively human body forward, left, vector upwards.
Judge that the biosome situation of whether falling takes place, and according to judged result, starts described monitoring of blood pressure unit and temperature monitoring unit.
Namely by the value of 3-axis acceleration and human body acceleration strength vector SMV, the utility model embodiment determines that by 4 aspect feature bases for estimation the human body situation of whether falling takes place.
Judging whether to fall, is by analysis-by-synthesis, uses a plurality of bases for estimation, thereby avoids false alarm.
As a kind of embodiment, described 3-axis acceleration sensor is the ADXL345 sensor, it judges comprehensively that by 3-axis acceleration and acceleration value the biosome situation of whether falling takes place, and when the situation of falling takes place, starts described monitoring of blood pressure unit and temperature monitoring unit.
As a kind of embodiment, the described detection by 3-axis acceleration sensor obtains 3-axis acceleration and acceleration value, judges that the biosome situation of whether falling takes place, and comprises the steps:
Step S110 interrupts detecting 3 axle accelerations and the acceleration value SMV that obtain according to the freely falling body of 3-axis acceleration sensor and judges whether biosome has the state of weightlessness generation;
Weightlessness all can take place in the beginning of falling biosome, and weightlessness can be used as fall first basis for estimation of state of pathologic, when its weightless acceleration during less than 1g, judges that the weightless situation that biosome has pathologic to fall takes place.
Wherein, as a kind of embodiment, described detection is interrupted detecting obtaining by the Free_Fall (freely falling body) of ADXL345.
Step S120 detects 3 axle accelerations and the acceleration value SMV that obtain according to the active interrupt of 3-axis acceleration sensor and judges whether biosome has the crash situation generation;
After the weightlessness, can clash into ground or other objects when human body is fallen, in accelerating curve, can produce a very big impact.This impact can be interrupted (active interrupt) and detect by the Activity of ADXL345.
Therefore, after Free_Fall interrupted, and then producing Activity (work) interruption was second basis for estimation of the state of falling.
Step S130 detects 3 axle accelerations and the acceleration value SMV that obtain according to the static interruption of 3-axis acceleration sensor and judges whether biosome has the stationary state generation;
Human body after just bump takes place, can not get up after falling at once, has of short duration stationary state (if the people causes stupor because fall, even may be the static of long period).Show on the accelerating curve be exactly can be for some time steadily.This can interrupt by the Inactivity (static) of ADXL345 detecting.Therefore, Activity interruption (active interrupt) Inactivity interruption afterwards is the 3rd basis for estimation of the state of falling.
Step S140, read static interruption 3-axis acceleration and acceleration value SMV afterwards according to 3-axis acceleration sensor, and compare with 3-axis acceleration and the acceleration value SMV of original state, judge and determine that the human body situation of whether falling takes place.
After human body was fallen, the people knew from experience and overturns, so the direction of human body can be different with the attitude that originally stood still (original state).3-axis acceleration numerical value under the stationary state after this feasible falling is different with the 3-axis acceleration under the original state.Read Inactivity and interrupt (static interruption) 3-axis acceleration data afterwards, and acceleration value SMV, and compare with 3-axis acceleration and the acceleration value SMV of original state, as the 4th basis for estimation, judge and determine that the human body situation of whether falling takes place.
Particularly, after human body is fallen, overturn, so the direction of human body can be different with the attitude that originally stood still (original state).3-axis acceleration numerical value under the stationary state after this feasible falling is different with the 3-axis acceleration under the original state.Monitoring means is fixed on certain position on the tested human body if fall, and the 3-axis acceleration numerical value under the original state can be thought known (in the present embodiment, original state is: X-axis 0g, Y-axis-1g, Z axle 0g) like this.Read static (Inactivity) and interrupt 3-axis acceleration data afterwards, and compare with original state.The acceleration of gravity direction by on the Y-axis-1g become the 1g on the Z axle, side direction has taken place this explanation human body falls.Therefore, the 4th foundation of fall detection be exactly under the stationary state after falling accekeration and original state change, and vector changes and surpasses certain threshold value (such as 0.7g), judges and determines that the human body situation of whether falling takes place.
As a kind of embodiment, pulsation and/or the blood pressure information of step S300 detection of biological body carry out analyzing and processing, comprise the steps:
Step S311: be respectively the light of 660nm and 1100nm to the biosome emission wavelength, receive and the light signal of conversion reflection is electric signal, calculate the biosome pressure value according to the photoplethaysmography method again;
Step S312: judge when the biosome pressure value according to biosome pulsation and/or blood pressure information and to reduce or during the rising pre-set threshold, judging has blood pressure sudden change situation to take place, generation blood pressure condition information; Otherwise, there is not blood pressure sudden change situation to take place, do not generate the blood pressure condition information.
Adopt the photoplethaysmography method can detect the blood flow variation that human body institute location is put, and endovascular blood flow change and endovascular real-time blood pressure has certain correlativity.Come qualitatively by the change curve of analyzing pulse wave that the change curve of the real-time blood pressure of researching human body possesses great rationality, and the variation of blood pressure in real time is in the appearance of some pathologic feature that can reflect human body.For example in pathologic was fallen process, blood pressure had violent fluctuation, was reflected to the curve that will occur on the pulse wave curves as shown in Figure 4.
Normal condition servant's pulse condition is steady, rhythm unanimity; Then there are uneven, the phenomenons such as heart stops steathily, premature beat of the pulse condition rhythm in the patient who suffers from heart disease; The elderly falls when taking place in pathologic, also can produce features such as the pulse condition rhythm is uneven.
In the utility model embodiment, adopt following formula (2) to describe the uniformity coefficient of pulse frequency:
Wherein, ni is whenever the fight number at sampling number strong point of heart, and S is variance.As a kind of embodiment, get N=8, namely add up the data from the sample survey of 8 accurate pulse cycles and count.The uniform criterion of pulse frequency, i.e. S≤4.5.If the pulse wave signal that collects satisfies above-mentioned decision condition, think that then this pulse wave belongs to the even pulse condition of pulse frequency, otherwise be judged as the inhomogeneous pulse condition of pulse frequency.
Described pulse wave sampling extracting method includes but not limited to wavelet analysis, BP network method etc.
As a kind of embodiment, described threshold value is divided into several levels according to sensitivity: very sensitive 20, common sensitive 30, and not too sensitive 40.
As a kind of embodiment, if at short notice, 3-8 second for example occur significantly fluctuating more than once blood pressure, for example blood pressure change is greater than 25% of blood pressure, and namely judging has blood pressure sudden change situation to take place.
As a kind of embodiment, among the step S300, the body temperature information of detection of biological body is carried out analyzing and processing, comprises the steps:
Step S321 carries out the detection of shell temperature by platinum resistance thermometer sensor,, and electric bridge detects the change in resistance of platinum resistance thermometer sensor,, calculates body temperature information;
Because biosome fall detection device is worn on the human body wrist position, is similar to sport wrist-watch.So as a kind of embodiment, can carry out the detection of shell temperature by being installed in the platinum resistance thermometer sensor, that the watch back contacts with skin, electric bridge detects the change in resistance of platinum resistance thermometer sensor,, calculates the body temperature value.
Step S322 has judged whether that according to biological body temperature information body temperature sudden change situation takes place; If biosome body temperature raises or reduces by 1 ℃, judge that then biological body temperature has the sudden change situation to take place, and generates the body temperature condition information of biosome; Otherwise, there is not biosome body temperature sudden change situation to take place, do not generate biosome body temperature condition information.
Judge according to biological body temperature information, if biosome body temperature raises or reduces by 1 ℃, judge that then biological body temperature has the sudden change situation to take place; Otherwise, do not have biosome body temperature sudden change situation to take place.
Pathologic is fallen when taking place, and can be accompanied by the variation of body temperature.When generally surpassing 1 to 2 ℃, life danger will occur, when the body temperature of target organism changes greatly, show target owing to fall and brought out life-threatening illness, must send seriously ill warning this moment to its family members or hospital, then generates the body temperature condition information of biosome.
The biosome fall detection device and method of the utility model embodiment, fall and biosome pulse and/or blood pressure and body temperature by monitoring, it can judge the type of being fallen accurately and effectively, and by monitoring location coordinate information spotting, just can give treatment to the user that the shortest time falls to the generation pathologic, thereby greatly the reduction of degree is fallen to the user, the particularly injury that produces of the elderly.
The above embodiment has only expressed several embodiment of the present utility model, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the utility model claim.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the utility model design, can also make some distortion and improvement, these all belong to protection domain of the present utility model.Therefore, the protection domain of the utility model patent should be as the criterion with claims.
Claims (5)
1. a biosome fall detection device is characterized in that, comprises the monitoring means of falling, monitoring of blood pressure unit and microprocessing unit;
The described monitoring means of falling under the control of described microprocessing unit, carries out acquisition process to the acceleration information of biosome, and the acceleration information that sends described acquisition process is to described microprocessing unit;
Described monitoring of blood pressure unit under the control of described microprocessing unit, carries out acquisition process to blood pressure and/or the pulse information of biosome, and sends the blood pressure of described acquisition process and/or pulse information to described microprocessing unit;
Described microprocessing unit is controlled the acceleration information that the described monitoring means of falling starts and receive described biosome, and to described acceleration information analysis and judgement, and starts described monitoring of blood pressure unit according to judged result.
2. biosome fall detection device according to claim 1, it is characterized in that, also comprise the temperature monitoring unit, under the control of described microprocessing unit, the body temperature information of biosome is gathered and handled, and the body temperature information that transmission is gathered is to described microprocessing unit;
Described microprocessing unit also starts described temperature monitoring unit according to judged result.
3. biosome fall detection device according to claim 1 and 2 is characterized in that, also comprises positioning unit, data transmission unit and display unit, is connected to described microprocessing unit;
Described positioning unit obtains the positional information of described biosome fall detection device;
Described data transmission unit sends fall warning message or the sick anxious warning message that generate through described microprocessing unit;
Described display unit, input control information, demonstration output information.
4. biosome fall detection device according to claim 1 and 2 is characterized in that, the described monitoring means of falling comprises acceleration transducer, acceleration signal processing module;
Described acceleration transducer is 3-axis acceleration sensor, gathers and send the biosome acceleration information to described acceleration signal processing module;
Described acceleration signal processing module, receive the biosome acceleration information that described acceleration transducer collects, described biosome acceleration information is amplified and filtering and analog to digital conversion, and the acceleration information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit.
5. biosome fall detection device according to claim 2 is characterized in that, described monitoring of blood pressure unit comprises light emission module, Optical Receivers and pulse wave processing module;
Described light emission module is under the control of described microprocessing unit, to biosome emission dual wavelength light;
Described Optical Receivers receives the dual wavelength light that biosome is reflected, and the light signal that receives is converted to electric signal, and this electric signal is transferred to described pulse wave processing module;
Described pulse wave processing module, to electric signal amplify, filtering, secondary amplifies and analog to digital conversion, the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit;
Described temperature monitoring unit comprises temperature sensor and processes temperature signal module;
Biosome body temperature information is gathered and sent to described temperature sensor to described processes temperature signal module;
Described processes temperature signal module receives the biosome body temperature information that described temperature sensor is gathered, and described biosome temperature information is amplified and filtering and analog to digital conversion, and the information after the concurrent warp let-off amplification filtering analog to digital conversion is to described microprocessing unit.
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| CN 201220155033 CN203118166U (en) | 2012-04-13 | 2012-04-13 | Organism falling-off detection device |
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| CN 201220155033 CN203118166U (en) | 2012-04-13 | 2012-04-13 | Organism falling-off detection device |
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| CN 201220155033 Expired - Fee Related CN203118166U (en) | 2012-04-13 | 2012-04-13 | Organism falling-off detection device |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104464191A (en) * | 2014-12-12 | 2015-03-25 | 成都史塔克智能科技有限公司 | Falling identification method, device and system |
| CN104622454A (en) * | 2015-01-23 | 2015-05-20 | 深圳市卡麦睿科技有限公司 | Multi-functional bracelet type human body intelligent monitor system |
| CN105105762A (en) * | 2015-09-22 | 2015-12-02 | 赖大坤 | Telemetering monitoring method and system of multiparameter automatic early warning and rapid positioning response |
| CN108041772A (en) * | 2017-08-03 | 2018-05-18 | 浙江工业大学 | A kind of old man falls down detection Intelligent bracelet and old man falls down detection method |
| CN108198383A (en) * | 2017-12-26 | 2018-06-22 | 深圳市宇恒互动科技开发有限公司 | The high-precision Activity recognition method, apparatus and system of a kind of multi sensor combination |
| CN108388167A (en) * | 2018-01-12 | 2018-08-10 | 福建省雾精灵环境科技有限公司 | A kind of simulated environment intelligently makes the system and method for scape |
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2012
- 2012-04-13 CN CN 201220155033 patent/CN203118166U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104464191A (en) * | 2014-12-12 | 2015-03-25 | 成都史塔克智能科技有限公司 | Falling identification method, device and system |
| CN104622454A (en) * | 2015-01-23 | 2015-05-20 | 深圳市卡麦睿科技有限公司 | Multi-functional bracelet type human body intelligent monitor system |
| CN105105762A (en) * | 2015-09-22 | 2015-12-02 | 赖大坤 | Telemetering monitoring method and system of multiparameter automatic early warning and rapid positioning response |
| CN108041772A (en) * | 2017-08-03 | 2018-05-18 | 浙江工业大学 | A kind of old man falls down detection Intelligent bracelet and old man falls down detection method |
| CN108198383A (en) * | 2017-12-26 | 2018-06-22 | 深圳市宇恒互动科技开发有限公司 | The high-precision Activity recognition method, apparatus and system of a kind of multi sensor combination |
| CN108198383B (en) * | 2017-12-26 | 2020-08-07 | 深圳市宇恒互动科技开发有限公司 | Multi-sensor combined high-precision behavior recognition method, device and system |
| CN108388167A (en) * | 2018-01-12 | 2018-08-10 | 福建省雾精灵环境科技有限公司 | A kind of simulated environment intelligently makes the system and method for scape |
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