CN109480403A - A kind of cognition bracelet detection Falls Among Old People and alarm method based on big data - Google Patents
A kind of cognition bracelet detection Falls Among Old People and alarm method based on big data Download PDFInfo
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- CN109480403A CN109480403A CN201811191825.0A CN201811191825A CN109480403A CN 109480403 A CN109480403 A CN 109480403A CN 201811191825 A CN201811191825 A CN 201811191825A CN 109480403 A CN109480403 A CN 109480403A
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- wearer
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- detection
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Classifications
-
- A—HUMAN NECESSITIES
- A44—HABERDASHERY; JEWELLERY
- A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
- A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
- A44C5/0007—Bracelets specially adapted for other functions or with means for attaching other articles
- A44C5/0023—Bracelets specially adapted for other functions or with means for attaching other articles for therapeutic purposes
-
- A—HUMAN NECESSITIES
- A44—HABERDASHERY; JEWELLERY
- A44C—PERSONAL ADORNMENTS, e.g. JEWELLERY; COINS
- A44C5/00—Bracelets; Wrist-watch straps; Fastenings for bracelets or wrist-watch straps
- A44C5/0007—Bracelets specially adapted for other functions or with means for attaching other articles
- A44C5/0015—Bracelets specially adapted for other functions or with means for attaching other articles providing information, e.g. bracelets with calendars
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
Abstract
The invention discloses a kind of, and the cognition bracelet based on big data detects Falls Among Old People and alarm method, and this method includes detecting body abnormality, starting warning note, artificial treatment, timer expiry, and starting is rechecked, starting is alarmed.The present invention is based on the theories of artificial intelligence, by many-sided abnormal detection and reinspection twice: camera reinspection is rechecked and opened to body, reduces the false alarm rate of system, improves the accuracy of system detection；By starting locating alarming, so that wearer's body exception information and essential information are effectively sent to community hospital, a possibility that hospital is not enough understanding to the information of patient is reduced, strives for more times for wearer, improves the validity for falling down patient's rescue.
Description
Technical field
The present invention relates to field of communication technology, specifically a kind of cognition bracelet detection Falls Among Old People and report based on big data
Alarm method.
Background technique
In recent years, the specific gravity that China's aging populations account for national population rises steadily, and is asked by aging of population bring
Inscribe increasingly prominent, such as Empty nest elderly, senior health and fitness's problem.Nowadays, with the fast development of science and technology, Aging Problem is standby
Concerned, more and more cognition products are gushed out for the elderly's service by society.These cognition products are effective to a certain extent
Aging Problem is improved, the quality of life of the elderly is improved.But happened suddenly in unexpected problem for the elderly, related skill
Art is still lacking.While reducing false alarm rate as far as possible, falling down for the elderly how effectively and is comprehensively detected, and
Effective alarm in real time, this major issue for needing us to study.
It is investigated according to related medical, leads to the dead the fourth-largest influence for having become China's the elderly's death rate due to falling down
Factor.It is more regrettable, when the elderly falls down, without finding and alarming in time, so that missing optimal rob
Rescue the time.With people's lives tempo increase, social pressures are increased, and the time of children's nurse and the old man that accompanies and attends to are fewer and fewer,
To the shortcoming of the elderly being concerned about always so.Therefore, one is designed effectively towards the automatic checkout system of Empty nest elderly, and
Effective alarm in real time allows the unexpected people of burst to be succoured, this is to be badly in need of for current situation.Currently, the prior art
To consider cost problem, the index fallen down for detection old man is mainly acceleration, and mode is excessively single, and false alarm rate is very high.Separately
Outside, type of alarm mainly passes through short message or APP informational linkage relatives, and this mode is unfortunately when relatives do not look into time
It sees the mobile phone, also results in the time that old man misses rescue.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, and provide a kind of cognition bracelet detection based on big data
Falls Among Old People and alarm method reduce false alarm rate, the bracelet the method increase happening suddenly unexpectedly to detect success rate to old man
With cognitive function, it is capable of the variation of sensing external environment and posture, by the many-sided abnormal data of big data detection, and with
The data of database are compared, and after obtaining analysis result, first issue warning note to wearer, then by multiple twice
Inspection, determines starting alarm, and the method that alarm uses locating alarming can fast and accurately allow medical care people family to receive alarm signal
Breath.
Realizing the technical solution of the object of the invention is:
A kind of cognition bracelet based on big data, including bracelet body and it is located at the intracorporal detection of bracelet and alarm terminal；
The detection and alarm terminal, including detection part, the database and alarm module being connect respectively with detection part, alarm
Module is also connect with the reception alarm display apparatus for being mounted on community hospital, and wherein detection part includes that sensing module, data are adopted
Collect module, image capture module, locating module and timer；Detection module, for managing the detection process of entire bracelet,
Middle timer is used to measure the time of bracelet waiting.
The sensing module, be using sensor network come automatically detect wearer posture and ambient enviroment (temperature,
Humidity etc.) cognition detection terminal, realize posture and environment monitoring.
The data acquisition module is using sensor and other analog- and digital- unit under test equipment automatic collection numbers
It is believed that breath, realizes the acquisition to real time datas such as the blood pressure of wearer's body, heartbeat and temperature.
The image capture module is to control ISP-PLD device using single-chip microcontroller, is realized to the camera shooting in cognition bracelet
The High-speed Image Acquisition of head transmits image data by compression of images and receiving end serial communication；The module is used to work as and open
When opening camera detection, the acquisition and comparison of image information are handled.
The locating module positions the real-time geographical location information of wearer using GPS, and starts alarm mould
Block.
The alarm module, it is main to realize vibration alarm and two parts of locating alarming.Vibration alarm is cognition bracelet
Wearer is when there is body abnormality for detection, the vibration prompting issued；Locating alarming is when cognition bracelet system determines to wear
When burst accident occurs in person, the geographical location of wearer, physical condition and basic identity information are passed through into the side of text or sound
Formula is sent to community hospital.
The reception alarm display apparatus, the device receive alarm, when receiving information, information for community hospital
It positioning flashing can be shown on map, and with alarm sound, while there is a message box on side, which includes
Patient body situation and basic identity information are conducive to community hospital and are quickly found out patient, and grasp the relevant information of patient.
A kind of the detection Falls Among Old People and alarm method of the cognition bracelet based on big data, include the following steps:
1) body abnormality detects:
1-1) Initialize installation: will recognize bracelet will wearer identity information typing cognition bracelet database in, for
Data value when wearer's body changes suddenly is compared；
1-2) wearer will recognize with bracelet is worn on, and bracelet is by the biological information of real-time detection wearer, if body refers to
Existing two or more exceptions are marked, then tentatively judge that wearer falls down；
2) starting shock prompts: when step 1) bracelet wearer is fallen down by preliminary judgement, the intermittent vibration of cognition bracelet starting is mentioned
Show sound, while starting timer, if bracelet wearer is properly received prompting sound, executes step 3), otherwise execute step 4)；
3) artificial treatment: after bracelet wearer receives the prompting sound that bracelet issues, manually or voice stops vibration prompting, shake
After dynamic stopping, whether cognition bracelet needs voice inquiry wearer to start alert service, if it is desired, it thens follow the steps 5),
Otherwise, normal condition is returned；
4) timer expiry, starting reinspection:
If 4-1) timer expiry, bracelet wearer is not received by prompting sound, tentatively judge wearer tumble after, and situation compared with
It is serious；
4-2) terminal in bracelet voluntarily detects physical condition and environment, blood pressure and heartbeat to bracelet wearer, air again
Humidity detected, and will test result and be compared with previous testing result, if comparison result obtains two indexs
Identical, then system voluntarily opens camera, checks geographical environment and the state of wearer；
If 4-3) camera checks that bracelet wearer is in the state of similar stupor, (5) are thened follow the steps, otherwise, are returned normal
State；
5) start alert service
5-1) system finds the kinship bond mode in database, and dials voice call to relatives, meanwhile, start timer,
If before timer expiry, system receives the feedback of relatives, 5-2 is thened follow the steps)；Otherwise, step 5-3 is executed)；
5-2) to information, timer resets relatives' feedback reception, preceding to go the case where checking wearer, contacts hospital, terminates alarm；
5-3) timer expiry, system positions the current geographical location of wearer, and starts locating alarming to community hospital: will determine
Position information, the biological information of detection and the essential information of wearer are sent to community hospital, meanwhile, start timer, if fixed
When device time-out, then follow the steps 5-4)；Otherwise, step 5-5 is executed)；
5-4) timer expiry, system start resetting alarm；
5-5) hospital's feedback is successfully received warning message, and timer resets, and terminates alarm, and hospital verifies warning message,
And then it pays a home visit.
The identity information, including body data, home address and family members' contact method, the body data include blood
Pressure value, pulse rate, height and weight, history data, sound decibel value, normal posture.
The prompting sound, when prompt, are 30 seconds a length of.
The timer, timing length are 60 seconds.
The present invention has the advantage that compared with prior art
1, the present invention is compared by many-sided abnormality detection, detection data with database data, multiple data exceptions occurs,
Prompt is sounded an alarm, which overcome the prior arts only to consider the exception that acceleration sharply increases, not to wearer's body and ring
The deficiency that border is comprehensively considered, so that the present invention improves the accuracy that system surprisingly detects burst.
2, the present invention rechecks and images reinspection by body and rechecks twice, the accidental falls that happen suddenly whether occurs to wearer
Situation accurately confirmed, is overcome and is easy to appear system in the prior art and the deficiency of probability of miscarriage of justice occur, so that of the invention
Reduce the false alarm rate of system.
3, the method that the present invention uses locating alarming, biological information when wearer is happened suddenly unexpected, position and basic letter
Breath is sent to community hospital comprehensively, overcomes the body detection for focusing on consider to wearer in the prior art, does not account for pendant
The state of wearer is effectively alarmed, so that the deficiency of rescue time is missed, so that the present invention improves the comprehensive of system.
Detailed description of the invention
Fig. 1 is the structural block diagram of detection and alarm terminal；
Fig. 2 is the flow chart of the detection Falls Among Old People and alarm method of a kind of cognition bracelet based on big data.
Specific embodiment
The present invention is further elaborated with reference to the accompanying drawings and examples, but is not limitation of the invention.
Embodiment:
As shown in Figure 1, a kind of cognition bracelet based on big data, including bracelet body and it is located at the intracorporal detection of bracelet and alarm eventually
End；
The detection and alarm terminal, including detection part, the database and alarm module being connect respectively with detection part, alarm
Module is also connect with the reception alarm display apparatus for being mounted on community hospital, and wherein detection part includes that sensing module, data are adopted
Collect module, image capture module, locating module and timer；Detection module, for managing the detection process of entire bracelet,
Middle timer is used to measure the time of bracelet waiting.
The sensing module, be using sensor network come automatically detect wearer posture and ambient enviroment (temperature,
Humidity etc.) cognition detection terminal, realize posture and environment monitoring.
The data acquisition module is using sensor and other analog- and digital- unit under test equipment automatic collection numbers
It is believed that breath, realizes the acquisition to real time datas such as the blood pressure of wearer's body, heartbeat and temperature.
The image capture module is to control ISP-PLD device using single-chip microcontroller, is realized to the camera shooting in cognition bracelet
The High-speed Image Acquisition of head transmits image data by compression of images and receiving end serial communication；The module is used to work as and open
When opening camera detection, the acquisition and comparison of image information are handled.
The locating module positions the real-time geographical location information of wearer using GPS, and starts alarm mould
Block.
The alarm module, it is main to realize vibration alarm and two parts of locating alarming.Vibration alarm is cognition bracelet
Wearer is when there is body abnormality for detection, the vibration prompting issued；Locating alarming is when cognition bracelet system determines to wear
When burst accident occurs in person, the geographical location of wearer, physical condition and basic identity information are passed through into the side of text or sound
Formula is sent to community hospital.
The reception alarm display apparatus, the device receive alarm, when receiving information, information for community hospital
It positioning flashing can be shown on map, and with alarm sound, while there is a message box on side, which includes
Patient body situation and basic identity information are conducive to community hospital and are quickly found out patient, and grasp the relevant information of patient.
The bracelet, the part that applies to, but not yet describe is using person of ordinary skill in the field in the present invention
The well known prior art.
As shown in Fig. 2, a kind of the detection Falls Among Old People and alarm method of the cognition bracelet based on big data, including walk as follows
It is rapid:
1) body abnormality detects:
1-1) Initialize installation: will recognize bracelet will wearer identity information typing cognition bracelet database in, for
Data value when wearer's body changes suddenly is compared；
1-2) wearer will recognize with bracelet is worn on, and bracelet is by the biological information of real-time detection wearer, if body refers to
Existing two or more exceptions are marked, then tentatively judge that wearer falls down；
2) starting shock prompts: when step 1) bracelet wearer is fallen down by preliminary judgement, the intermittent vibration of cognition bracelet starting is mentioned
Show sound, while starting timer, if bracelet wearer is properly received prompting sound, executes step 3), otherwise execute step 4)；
3) artificial treatment: after bracelet wearer receives the prompting sound that bracelet issues, manually or voice stops vibration prompting, shake
After dynamic stopping, whether cognition bracelet needs voice inquiry wearer to start alert service, if it is desired, it thens follow the steps 5),
Otherwise, normal condition is returned；
4) timer expiry, starting reinspection:
If 4-1) timer expiry, bracelet wearer is not received by prompting sound, tentatively judge wearer tumble after, and situation compared with
It is serious；
4-2) terminal in bracelet voluntarily detects physical condition and environment, blood pressure and heartbeat to bracelet wearer, air again
Humidity detected, and will test result and be compared with previous testing result, if comparison result obtains two indexs
Identical, then system voluntarily opens camera, checks geographical environment and the state of wearer；
If 4-3) camera checks that bracelet wearer is in the state of similar stupor, (5) are thened follow the steps, otherwise, are returned normal
State；
5) start alert service
5-1) system finds the kinship bond mode in database, and dials voice call to relatives, meanwhile, start timer,
If before timer expiry, system receives the feedback of relatives, 5-2 is thened follow the steps)；Otherwise, step 5-3 is executed)；
5-2) to information, timer resets relatives' feedback reception, preceding to go the case where checking wearer, contacts hospital, terminates alarm；
5-3) timer expiry, system positions the current geographical location of wearer, and starts locating alarming to community hospital: will determine
Position information, the biological information of detection and the essential information of wearer are sent to community hospital, meanwhile, start timer, if fixed
When device time-out, then follow the steps 5-4)；Otherwise, step 5-5 is executed)；
5-4) timer expiry, system start resetting alarm；
5-5) hospital's feedback is successfully received warning message, and timer resets, and terminates alarm, and hospital verifies warning message,
And then it pays a home visit.
The identity information, including body data, home address and family members' contact method, the body data include blood
Pressure value, pulse rate, height and weight, history data, sound decibel value, normal posture.
The prompting sound, when prompt, are 30 seconds a length of.
The timer, timing length are 60 seconds.
Claims (6)
1. a kind of cognition bracelet based on big data, which is characterized in that including bracelet body and be located at the intracorporal detection of bracelet and report
Alert terminal；
The detection and alarm terminal, including detection part, the database and alarm module being connect respectively with detection part, alarm
Module is also connect with the reception alarm display apparatus for being mounted on community hospital, and wherein detection part includes that sensing module, data are adopted
Collect module, image capture module, locating module and timer；Detection module, for managing the detection process of entire bracelet,
Middle timer is used to measure the time of bracelet waiting.
2. a kind of cognition bracelet based on big data according to claim 1, which is characterized in that the sensing module,
It is to detect the posture of wearer and the cognition detection end of ambient enviroment automatically using sensor network, realizes posture and environment
Monitoring；
The data acquisition module is using sensor and other analog- and digital- unit under test equipment automatic data collection letters
Breath realizes the acquisition to real time datas such as the blood pressure of wearer's body, heartbeat and temperature；
The image capture module is to control ISP-PLD device using single-chip microcontroller, is realized to the camera in cognition bracelet
High-speed Image Acquisition transmits image data by compression of images and receiving end serial communication；The module is used to take the photograph when unlatching
When as head detection, acquisition and the comparison processing of image information；
The locating module positions the real-time geographical location information of wearer using GPS, and starts alarm module；
The alarm module, main to realize vibration alarm and two parts of locating alarming, vibration alarm is cognition bracelet detection
When there is body abnormality in wearer, the vibration prompting that is issued；Locating alarming is when cognition bracelet system determines that wearer goes out
When now burst is unexpected, the geographical location of wearer, physical condition and basic identity information are sent out by way of text or sound
Give community hospital；
The reception alarm display apparatus, which receives alarm for community hospital, and when receiving information, information can be
Positioning flashing is shown on map, and with alarm sound, while there is a message box on side, which includes patient
Physical condition and basic identity information.
3. a kind of the detection Falls Among Old People and alarm method of the cognition bracelet based on big data, which is characterized in that including walking as follows
It is rapid:
1) body abnormality detects:
1-1) Initialize installation: will recognize bracelet will wearer identity information typing cognition bracelet database in, for
Data value when wearer's body changes suddenly is compared；
1-2) wearer will recognize with bracelet is worn on, and bracelet is by the biological information of real-time detection wearer, if body refers to
Existing two or more exceptions are marked, then tentatively judge that wearer falls down；
2) starting shock prompts: when step 1) bracelet wearer is fallen down by preliminary judgement, the intermittent vibration of cognition bracelet starting is mentioned
Show sound, while starting timer, if bracelet wearer is properly received prompting sound, executes step 3), otherwise execute step 4)；
3) artificial treatment: after bracelet wearer receives the prompting sound that bracelet issues, manually or voice stops vibration prompting, shake
After dynamic stopping, whether cognition bracelet needs voice inquiry wearer to start alert service, if it is desired, it thens follow the steps 5),
Otherwise, normal condition is returned；
4) timer expiry, starting reinspection:
If 4-1) timer expiry, bracelet wearer is not received by prompting sound, tentatively judge wearer tumble after, and situation compared with
It is serious；
4-2) terminal in bracelet voluntarily detects physical condition and environment, blood pressure and heartbeat to bracelet wearer, air again
Humidity detected, and will test result and be compared with previous testing result, if comparison result obtains two indexs
Identical, then system voluntarily opens camera, checks geographical environment and the state of wearer；
If 4-3) camera checks that bracelet wearer is in the state of similar stupor, (5) are thened follow the steps, otherwise, are returned normal
State；
5) start alert service
5-1) system finds the kinship bond mode in database, and dials voice call to relatives, meanwhile, start timer,
If before timer expiry, system receives the feedback of relatives, 5-2 is thened follow the steps)；Otherwise, step 5-3 is executed)；
5-2) to information, timer resets relatives' feedback reception, preceding to go the case where checking wearer, contacts hospital, terminates alarm；
5-3) timer expiry, system positions the current geographical location of wearer, and starts locating alarming to community hospital: will determine
Position information, the biological information of detection and the essential information of wearer are sent to community hospital, meanwhile, start timer, if fixed
When device time-out, then follow the steps 5-4)；Otherwise, step 5-5 is executed)；
5-4) timer expiry, system start resetting alarm；
5-5) hospital's feedback is successfully received warning message, and timer resets, and terminates alarm, and hospital verifies warning message,
And then it pays a home visit.
4. the detection Falls Among Old People and alarm method of a kind of cognition bracelet based on big data according to claim 3,
It is characterized in that, the identity information, including body data, home address and family members' contact method, the body data include
Pressure value, pulse rate, height and weight, history data, sound decibel value, normal posture.
5. the detection Falls Among Old People and alarm method of a kind of cognition bracelet based on big data according to claim 3,
It is characterized in that, the prompting sound, when prompt is 30 seconds a length of.
6. the detection Falls Among Old People and alarm method of a kind of cognition bracelet based on big data according to claim 3,
It is characterized in that, the timer, timing length is 60 seconds.
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| CN110703241A (en) * | 2019-09-26 | 2020-01-17 | 弗徕威智能机器人科技（上海）有限公司 | Human body falling detection self-adaptive system and device based on UWB radar |
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| CN113963509A (en) * | 2021-10-22 | 2022-01-21 | 安徽拓强电气有限公司 | Old man prevents falling down device and system based on thing networking |
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| CN110703241A (en) * | 2019-09-26 | 2020-01-17 | 弗徕威智能机器人科技（上海）有限公司 | Human body falling detection self-adaptive system and device based on UWB radar |
| CN111883257A (en) * | 2020-09-25 | 2020-11-03 | 西南交通大学 | Human health state assessment and early warning system and method based on multiple sensors |
| CN113963509A (en) * | 2021-10-22 | 2022-01-21 | 安徽拓强电气有限公司 | Old man prevents falling down device and system based on thing networking |
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Application publication date: 20190319 |