CN102048521A - System and method for monitoring and preventing tumble - Google Patents
System and method for monitoring and preventing tumble Download PDFInfo
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- CN102048521A CN102048521A CN 200910221324 CN200910221324A CN102048521A CN 102048521 A CN102048521 A CN 102048521A CN 200910221324 CN200910221324 CN 200910221324 CN 200910221324 A CN200910221324 A CN 200910221324A CN 102048521 A CN102048521 A CN 102048521A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 97
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000007405 data analysis Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 230000002265 prevention Effects 0.000 claims description 86
- 230000007613 environmental effect Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 9
- 230000006870 function Effects 0.000 claims description 7
- 210000003423 ankle Anatomy 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
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- 210000000707 wrist Anatomy 0.000 claims description 4
- 241000293001 Oxytropis besseyi Species 0.000 claims description 2
- 230000036541 health Effects 0.000 claims description 2
- 230000002093 peripheral effect Effects 0.000 abstract description 2
- 230000002354 daily effect Effects 0.000 description 4
- 238000001514 detection method Methods 0.000 description 3
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- 238000003786 synthesis reaction Methods 0.000 description 3
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- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005021 gait Effects 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 210000001747 pupil Anatomy 0.000 description 2
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- 238000012549 training Methods 0.000 description 2
- 230000003442 weekly effect Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
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- 238000004364 calculation method Methods 0.000 description 1
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- 230000003203 everyday effect Effects 0.000 description 1
- 230000005802 health problem Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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- 230000003449 preventive effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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Abstract
The invention relates to a system for monitoring and preventing tumble, which comprises equipment for monitoring and preventing tumble, a server provided with a data analysis model, and an electronic receiving terminal. The equipment for monitoring and preventing tumble comprises a sensor unit, an analog-digital converter, a microcontroller, the peripheral circuit of the microcontroller and an expansion module which are successively connected. The invention discloses a method for monitoring and preventing tumble, which can be used for monitoring a wearer in real time by comprehensively analyzing the information such as the movement data, the environment data, the physiological parameters, the location data, pictures and the like, particularly can be used for monitoring whether old people are in the dangerous condition of the tumbling or nearly tumbling, and emitting an alarm signal in the dangerous condition. The records about the amount, frequency, type and time of tumbling or nearly tumbling accidents can be generated according to the information, so that caregivers can provide a better suggesting and preventing method for patients. Because the analysis is carried out by simultaneously utilizing the current data and the previously recorded data, the system provided by the invention can be used for monitoring and preventing the occurrence of tumbling accidents more accurately.
Description
Technical field
The present invention relates to a kind of monitoring system and method for falling, more particularly, relate to a kind of monitoring and prevention system and method for falling.
Background technology
Arriving along with aging society, old people's health problem has begun to cause social common concern, falling for the old people is the clinical problem of a significant, and the incidence rate that the old people falls is far above youngster, and tends to cause very serious consequence after falling.The generation of Detection And Warning instrument has enormous social meaning so fall.The monitoring device of falling of Shi Yonging has certain help to the old people to a certain extent in the market, its warning function can notify ward or healthcare givers old man that the situation of falling has taken place timely, hurries to the scene after receiving the warning of falling the old man is treated.But because only it just can send warning when falling, and at this moment for the old people with regard to too late.And most of portable monitoring equipments of falling are subjected to the restriction of cost, volume and weight, and its computer process ability is also very limited, can't report to the police to the incident of falling accurately.
Summary of the invention
The technical problem to be solved in the present invention is, at the above-mentioned defective of prior art, provides a kind of monitoring and prevention system and method for falling.
The technical scheme that the present invention solves the problems of the technologies described above is: construct a kind of monitoring and prevention system of falling, comprise fall monitoring and prevention apparatus and the server that Data Analysis Model is housed that main body is worn; Described fall the monitoring and prevention apparatus comprise microcontroller, the input of microcontroller is connected with the environmental sensor of the motion sensor that detects moving situation, detection main body external environment situation of living in respectively, and the outfan of microcontroller is connected with alarm unit; Fall monitoring and prevention apparatus and server by wired or wireless mode communication, send the data of storage and beam back the data analysis result.
In fall monitoring and prevention system of the present invention, also comprise the electronics receiving terminal that the monitor holds, the electronics receiving terminal passes through the wireless mode communication with fall monitoring and prevention apparatus, server respectively, is used to receive alarm signal and data analysis result.
In fall monitoring and prevention system of the present invention, the described monitoring of falling also comprises the physiological signal detecting sensor that is connected with the microcontroller input, be used to detect the main body physiological situation with prevention apparatus.
In fall monitoring and prevention system of the present invention, described motion sensor comprises three axis accelerometer and gyroscope; Described environmental sensor comprises temperature sensor, humidity sensor and light sensor.
In fall monitoring and prevention system of the present invention, the described monitoring of falling also comprises the keyboard region that is connected with the microcontroller input, is used to store the memory element of data and algorithm routine and is used for clock alignment with prevention apparatus and the real-time module of accurate management system time resource.
In fall monitoring and prevention system of the present invention, described falling monitored and prevention apparatus also comprises function expanding module, and described function expanding module comprises locating module, wireless module and camera model.
In fall monitoring and prevention system of the present invention, described monitoring and the prevention apparatus of falling also comprises computer interface, and described computer interface and described wireless module are used for that the device internal storage location data of preserving are downloaded to home server or upload to server on the network at a distance carrying out the result that data analysis processing and reception server are beamed back.
In fall monitoring and prevention system of the present invention, described data comprise exercise data, environmental data, physiological parameter, position data and picture.
In fall monitoring and prevention system of the present invention, described monitoring and the prevention apparatus of falling can be worn on the different parts of health, a plurality of fall to monitor can be connected by wired or wireless mode with prevention apparatus finishes monitoring jointly.
In fall monitoring and prevention system of the present invention, described falling monitored and prevention apparatus is tied up on the shoestring or is collected in the sole.
In fall monitoring and prevention system of the present invention, described falling monitored and prevention apparatus is tied up on the belt or is collected in the belt.
In fall monitoring and prevention system of the present invention, described falling monitored and prevention apparatus is tied up on the wrist belt or is collected in the wrist belt.
In fall monitoring and prevention system of the present invention, described falling monitored and prevention apparatus is tied up on the ankle band or is collected in the ankle band.
A kind of monitoring and prevention method of falling of the present invention may further comprise the steps:
A1) start the timing sampling function, the sensor unit of fall monitoring and prevention apparatus passes to microcontroller with detected outer signals;
A2) microcontroller is analyzed the outer signals of gathering, and judges whether to be new data, if fall or be bordering on the hazard event of falling for new data stores internal storage location into and judges whether; If the outer signals of gathering is not new data or does not have not fall or be bordering on the incident execution in step A4 that falls;
A3) if fall or be bordering on the hazard event of falling, the alarm unit concurrent alert signal of delivering newspaper that begins to report to the police is given the electronics receiving terminal, thereby near people the in time notice and the dangerous incident of supervisor of holding the electronics receiving terminal have taken place;
A4) microcontroller sends to server with the data of being stored, and the Data Analysis Model on the server is carried out online to the data that receive or off-line analysis and analysis result sent to fall monitoring and prevention apparatus and electronics receiving terminal;
A5) data analysis software is depicted as chart with analysis result.
Monitoring and the prevention method of falling of the present invention pre-sets the sampling time in the described steps A 1, and microcontroller is according to the interval timing detecting sensor of setting.
Monitoring and the prevention method of falling of the present invention, the embedded algorithm routine of microcontroller is analyzed simultaneously to the new data of real-time collection and the data that write down in the past in the described steps A 2, thereby obtains judged result more accurately.
Monitoring and the prevention method of falling of the present invention, microcontroller can send to the data in real time of being stored server and also the batch data of being stored can be sent to server and handle in the described steps A 4; Can provide better suggestion and prevention to fall or be bordering on the method for falling according to the analysis result electronics receiving terminal holder who beams back.
Implement monitoring and prevention system and the method for falling of the present invention, has following beneficial effect: because by adopting the powerful information such as analysis-by-synthesis exercise data, environmental data, physiological parameter, position data and picture of processing capacity on the server, can monitor wearer (particularly old people) in real time and whether be in and fall or be bordering on the precarious position of falling, and send alarm signal.Can generate about falling and be bordering on the record of quantity, frequency, type and the time of the incident of falling according to these information, thereby ward and healthcare givers can provide better suggestion and prevention method to the patient.Because it is more accurate that the data of utilizing current data simultaneously and writing down are in the past analyzed native system, can well monitor and prevent the generation of the incident of falling.
This system and method also can be used in the monitoring normal individual, comprises baby, pupil and adult's daily action, for example is used for monitoring the exercise situation, helps the individual health status of understanding; Be used for athletic training or match, can understand their exercise intensity or the achievement of match; Monitoring workman's working condition for example is used for driver and fireman's routine work, can understand their daily routines better, thereby the work efficiency of improving them is prevented potential danger simultaneously.Native system can also be monitored any object except monitoring the life entity, for example can monitor the parcel in the shipping.This has significant benefits for the article of shipping costliness or the article of the special traffic condition of needs.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the structured flowchart of fall monitoring and prevention system of the present invention;
Fig. 2 is the fall monitoring and the structural representation of prevention apparatus;
Fig. 3 is the flow chart of a kind of embodiment of fall monitoring and prevention method of the present invention;
Fig. 4 is the embodiment block diagram that uses a plurality of fall monitoring and prevention apparatus simultaneously;
Fig. 5 is the typical motion data that three axis accelerometer is gathered;
Fig. 6 is the typical motion data that gyroscope is gathered;
Fig. 7 is an Activity Level and fall or be bordering on the report exemplary plot of the incident mutual relation of falling;
Fig. 8 falls or is bordering on the weekly bulletin illustration of the incident of falling.
The specific embodiment
Fall monitoring and prevention system as shown in Figure 1 comprises falling monitors and prevention apparatus 100, the server 200 of Data Analysis Model, the electronics receiving terminal 300 that the monitor holds is housed; Fall monitoring and prevention apparatus 100 and server 200 by wired or wireless mode communication, send the data of being stored and beam back the data analysis result; Electronics receiving terminal 300 passes through the wireless mode communication with fall monitoring and prevention apparatus 100, server 200 respectively, and receives alarm signal and data analysis result.
As shown in Figure 2 fall monitoring and prevention apparatus comprise motion sensor 101, environmental sensor 102 and physiological signal detecting sensor 103, and they are connected with microcontroller 3 by analog-digital converter 2.Wherein motion sensor 101 comprises three axis accelerometer and gyroscope; Environmental sensor 102 comprises temperature sensor, humidity sensor and optical sensor; Physiological signal detecting sensor 103 can detect human body physiological parameter.The peripheral circuit of microcontroller 3 is provided with keyboard region 4, alarm unit 5, memory element 6, computer interface 7 and real-time module 8.Wherein alarm unit 5 is the alarm that comprises LED lamp and buzzer, and memory element 6 is used to store data and algorithm routine, and module 8 is used for clock alignment and accurate management system time resource in real time.This device also comprises expansion module 9, comprises locating module 901, wireless module 902 and camera model 903.Wherein wireless module 902 and aforementioned calculation machine interface 7 data being responsible for install in the internal storage location and being preserved download to home server or upload to server on the network at a distance and carry out the result that data analysis processing and reception server are beamed back.
In conjunction with flow chart shown in Figure 3, a kind of embodiment of a kind of fall monitoring and prevention method of the present invention is described.Comprise the steps:
S1) start sample clock generator, open interruption;
S2) obtain movable information, environmental information and the human body physiological parameter of sensor acquisition, be converted to digital signal by analog-digital converter;
S3) microcontroller is judged according to the interval timing detecting sensor of setting and to detected digital signal, if not new data execution in step S8;
S4) if, data are saved in internal storage location through judging that this digital signal is a new data;
S5) detection is fallen or is bordering on the threshold value of falling;
S6) judge that whether new data is above falling or being bordering on the alarming value of falling, if surpass alarming value execution in step S8;
S7) if new data above falling or being bordering on the alarming value of falling, starts alarm unit and reports to the police;
S8) checkout equipment battery electric quantity;
S9) judge whether battery has electricity, if do not have electric execution in step S14;
S10), detect communication module and whether connect if battery has electricity;
S11) if communication module connects, microcontroller sends to server with the new data of being gathered;
S12) if communication module does not connect or data are sent, detect the current time, if the current time is not the execution in step S2 length of one's sleep;
S13) if the current time is to enter sleep program the length of one's sleep;
S14) when dead battery or after entering sleep program, stop monitoring.
In step S6, also comprise the steps:
S6.1) the embedded algorithm routine of microcontroller is analyzed simultaneously to the new data of real-time collection and the data that write down in the past, thereby obtains judged result more accurately.
In step S7, also comprise the steps:
S7.1) in the startup alarm unit, send alarm signal, thereby in time near the people of notice has been taken place with the dangerous incident of supervisor of holding the electronics receiving terminal to the electronics receiving terminal;
In step S11, also comprise the steps:
S11.1) Data Analysis Model on the server is analyzed new data;
S11.2) server sends to wearer or supervisor with analysis result, can better monitor and prevent to fall or be bordering on the generation of the incident of falling according to analysis result wearer and supervisor;
S11.3) analysis result is depicted as chart, causes falling, being bordering on the reason of falling thereby get more information about.
Main body can be worn a plurality of monitoring and prevention apparatus of falling as shown in Figure 4, comes the dynamic data at each position of collection of bodily.A plurality of monitoring and prevention apparatus of falling are by the monitoring of cooperating of wired or wireless mode, and wherein main equipment is mainly used to coordinated manipulation, record and data transmission, and subset is responsible for image data.
Be the typical motion data that three axis accelerometer is gathered as shown in Figure 5, as can be seen from the figure the accekeration on human body X, Y, the Z axle is in stable state concussion state when normal gait, big amplitude ANOMALOUS VARIATIONS can appear in the accekeration when falling on human body X, Y, the Z axle, and the accekeration variation when static on human body X, Y, the Z axle is tending towards 0.
Be the typical motion data that gyroscope is gathered as shown in Figure 6, as can be seen from the figure the angle on human body X, Y, the Z axle changes the stable state concussion state that is in when normal gait, big amplitude ANOMALOUS VARIATIONS can appear in the angle changing value when falling on human body X, Y, the Z axle, and the angle variation when static on human body X, Y, the Z axle is tending towards 0.
Be to fall under different activity grade situations and be bordering on the report of the incident of falling as shown in Figure 7, environmental information, positional information and camera shot picture information also can be marked in the report together.
Be to fall or be bordering on the weekly bulletin illustration of the incident of falling as shown in Figure 8, from report, can learn falling of taking place every day or be bordering on the number of times of the incident of falling that the out of Memory such as step number of activity grade, walking are also together in the synthesis report now in addition.
The above is the basic embodiment of the present invention, if when analyzing movable information, environmental information and Human Physiology information, the position data that locating module obtained and the information such as picture of camera are also carried out analysis-by-synthesis, can obtain better to monitor preventive effect.
System and method of the present invention falls except being directly used in monitoring wearer (particularly old people), be bordering on and fall and prevention falls, this system and method also can be used in the monitoring normal individual, comprise baby, pupil and adult's daily action, for example be used for monitoring the exercise situation, help the individual health status of understanding; Be used for athletic training or match, can understand their exercise intensity or the achievement of match.System and method of the present invention can also be used for monitoring workman's working condition, for example is used for driver and fireman's routine work, can understand their daily routines better, thereby the work efficiency of improving them is prevented potential danger simultaneously.Native system can also be monitored any object except monitoring the life entity, for example can monitor the parcel in the shipping.This has significant benefits for the article of shipping costliness or the article of the special traffic condition of needs.
The above only is embodiments of the invention, not in order to restriction the present invention, all any modifications of being done in the spirit and principles in the present invention, is equal to and replaces or improvement etc., all should be included in protection scope of the present invention.
Claims (17)
1. fall monitoring and prevention system is characterized in that, fall monitoring and the prevention apparatus (100) and the server (200) of Data Analysis Model is housed that comprise that main body wears; Described fall the monitoring and prevention apparatus (100) comprise microcontroller (3), the input of microcontroller (3) is connected with the motion sensor that is used to detect the main body moving situation (101), the environmental sensor (102) that is used to detect main body external environment situation of living in respectively, and the outfan of microcontroller (3) is connected with alarm unit (5); Fall monitoring and prevention apparatus (100) and server (200) by wired or wireless mode communication, send the data of storage and beam back the data analysis result.
2. monitoring and the prevention system of falling according to claim 1, it is characterized in that, also comprise the electronics receiving terminal (300) that the monitor holds, electronics receiving terminal (300) passes through the wireless mode communication with fall monitoring and prevention apparatus (100), server (200) respectively, is used to receive alarm signal and data analysis result.
3. monitoring and the prevention system of falling according to claim 1, it is characterized in that the described monitoring of falling also comprises the physiological signal detecting sensor (103) that is connected with microcontroller (3) input, be used to detect the main body physiological situation with prevention apparatus (100).
4. monitoring and the prevention system of falling according to claim 1 is characterized in that described motion sensor (101) comprises three axis accelerometer and gyroscope; Described environmental sensor (102) comprises temperature sensor, humidity sensor and light sensor.
5. monitoring and the prevention system of falling according to claim 1, it is characterized in that the described monitoring of falling also comprises keyboard region (4), the memory element (6) that is used to store data and algorithm routine that is connected with microcontroller (3) input with prevention apparatus (100) and is used for clock alignment and the real-time module (8) of accurate management system time resource.
6. monitoring and the prevention system of falling according to claim 1, it is characterized in that, described fall the monitoring and prevention apparatus (100) also comprise function expanding module (9), described function expanding module (9) comprises locating module (901), wireless module (902) and camera model (903).
7. monitoring and the prevention system of falling according to claim 1, it is characterized in that, described monitoring and the prevention apparatus (100) of falling also comprises computer interface (7), and described computer interface (7) and described wireless module (902) are used for that the device internal storage location data of preserving are downloaded to home server or upload to server on the network of distant place carrying out the result that data analysis processing and reception server (200) are beamed back.
8. according to claim 5 or 7 described monitoring and the prevention systems of falling, it is characterized in that described data comprise exercise data, environmental data, physiological parameter, position data and picture.
9. monitoring and the prevention system of falling according to claim 1, it is characterized in that, described monitoring and the prevention apparatus (100) of falling can be worn on the different parts of health, a plurality of fall to monitor can be connected by wired or wireless mode with prevention apparatus (100) finishes monitoring jointly.
10. monitoring and the prevention system of falling according to claim 1 is characterized in that, described fall monitoring and prevention apparatus (100) quilt are tied up on the shoestring or be collected in the sole.
11. monitoring and the prevention system of falling according to claim 1 is characterized in that, described fall monitoring and prevention apparatus (100) quilt are tied up on the belt or are collected in the belt.
12. monitoring and the prevention system of falling according to claim 1 is characterized in that, described fall monitoring and prevention apparatus (100) quilt are tied up on the wrist belt or are collected in the wrist belt.
13. monitoring and the prevention system of falling according to claim 1 is characterized in that, described fall monitoring and prevention apparatus (100) quilt are tied up on the ankle band or are collected in the ankle band.
14. fall monitoring and prevention method is characterized in that, may further comprise the steps:
A1) start the timing sampling function, the sensor unit of fall monitoring and prevention apparatus passes to microcontroller with detected outer signals;
A2) microcontroller is analyzed the outer signals of gathering, and judges whether to be new data, if fall or be bordering on the hazard event of falling for new data stores internal storage location into and judges whether; If the outer signals of gathering is not new data or does not have not fall or be bordering on the incident execution in step A4 that falls;
A3) if fall or be bordering on the hazard event of falling, the alarm unit concurrent alert signal of delivering newspaper that begins to report to the police is given the electronics receiving terminal, thereby near people the in time notice and the dangerous incident of supervisor of holding the electronics receiving terminal have taken place;
A4) microcontroller sends to server with the data of being stored, and the Data Analysis Model on the server is carried out online to the data that receive or off-line analysis and analysis result sent to fall monitoring and prevention apparatus and electronics receiving terminal;
A5) Data Analysis Model is depicted as chart with analysis result.
15. monitoring and the prevention method of falling according to claim 14 is characterized in that, pre-sets the sampling time in the described steps A 1, microcontroller is according to the interval timing detecting sensor of setting.
16. monitoring and the prevention method of falling according to claim 14, it is characterized in that, the embedded algorithm routine of microcontroller is analyzed simultaneously to the new data of real-time collection and the data that write down in the past in the described steps A 2, thereby obtains judged result more accurately.
17. monitoring and the prevention method of falling according to claim 14 is characterized in that, microcontroller can send to the data in real time of being stored server and also the batch data of being stored can be sent to server and handle in the described steps A 4; Can provide better suggestion and prevention to fall or be bordering on the method for falling according to the analysis result electronics receiving terminal holder who beams back.
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| CN 200910221324 CN102048521B (en) | 2009-11-03 | 2009-11-03 | System and method for monitoring and preventing tumble |
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| CN 200910221324 CN102048521B (en) | 2009-11-03 | 2009-11-03 | System and method for monitoring and preventing tumble |
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Family Cites Families (2)
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| CN100362963C (en) * | 2004-08-05 | 2008-01-23 | 香港理工大学 | Portable health-care monitoring arrangement with motion compensation function and its compensation method |
| JP2009528141A (en) * | 2006-02-28 | 2009-08-06 | コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ | Biometric monitor with electronic equipment arranged in neck collar |
-
2009
- 2009-11-03 CN CN 200910221324 patent/CN102048521B/en not_active Expired - Fee Related
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