CN108309260A - A kind of sleep quality safety estimation system based on big data - Google Patents
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- 230000003860 sleep quality Effects 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 91
- 239000008280 blood Substances 0.000 claims abstract description 44
- 210000004369 blood Anatomy 0.000 claims abstract description 44
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 43
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- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 43
- 239000001301 oxygen Substances 0.000 claims abstract description 43
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- 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
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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Abstract
The present invention discloses a kind of sleep quality safety estimation system based on big data, including monitoring device, Cloud Server and supervisory terminal, Cloud Server are connect with monitoring device and supervisory terminal respectively；Arm monitoring unit includes arm microprocessor and the pulse detection module being connect with arm microprocessor, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module；Bed monitoring unit includes microprocessor and the temperature detecting module being connect with microprocessor, humidity detecting module, pressure detecting module, trigger module.The present invention is detected the physiological condition parameter of personnel by arm monitoring unit, and the data detected by bed monitoring unit, safety of the judgement personnel in sleeping soundly, improve the safety of old man or child in sleeping process, rescue is dead not as good as caused by when avoiding occurring brain death or injury is fallen from bed, substantially increase to during old man or sleep of children supervision and safety.
Description
Technical field
The invention belongs to sleep monitor technical fields, are related to a kind of sleep quality security evaluation system based on big data
System.
Background technology
The one third time of the mankind is spent in sleep, and sleep is essential a kind of physiology need in human lives
It wants.Sleep is most natural, the most basic life process of formation during biological evolution, and the accuracy controlling of sleep procedure is to ensure
The basis that other life processes such as blood, metabolism, immune, endocrine, cerebration are normally carried out plays important feedback to awakening
Adjustment effect maintains the regularity variation of biological phenomena jointly, is the adequate condition of individual survival development and necessary power.
The sleep of people is a process from the superficial to the deep, and the only sleep of depth could allow body preferably to carry out reparation work
Make.After sleep, the repair of body is divided into two parts to carry out, and one is the reparations of the vital organs of the human body of body, at this moment
The brain bioelectricity wave velocity of the human body detected is slow, it is small to rise and fall, and is referred to as slow wave sleep；Another kind is to repair brain, inspection
The brain bioelectricity wave velocity of the human body measured is fast, it is big to rise and fall, and is referred to as fast wave sleep, that is, brain sleep.
With the entrance astogeny ranks of society slowly, aging speed is fast, and elderly population quantity drastically increases, and " 42
The population structure of one " formula is more and more obvious, and a large amount of Empty nest elderly, empty nestor occurs, and home tele-monitoring function increasingly weakens, institute
Just to seem more important to the problems such as senior health and fitness's supervision and security protection, since the resistance of the elderly is poor, if flat
When do not pay attention to maintenance if, it is easy to cause many diseases, especially cerebral hemorrhage, cerebral hemorrhage is also known as cerebral hemorrhage, refers to non-wound
Property brain parenchym in hematostaxis, the cause of disease is more, old man during sleep once there is cerebral hemorrhage, if not in time
It examines, will cause to paralyse, or even is dead, existing technology can not be monitored the process that old man sleep soundly, and then can not ensure old
Safety of people during sleeping soundly.
Invention content
The purpose of the present invention is to provide a kind of sleep quality safety estimation system based on big data, solves existing skill
Art can not be monitored old man during sleeping soundly, and there are the incomplete problems of monitoring system, and then can not ensure old man
It is given treatment in time when morbidity.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of sleep quality safety estimation system based on big data, including monitoring device, Cloud Server and supervisory terminal,
The Cloud Server is connect with monitoring device and supervisory terminal respectively；
The monitoring device includes arm monitoring unit and bed monitoring unit, and the arm monitoring unit is used for lying in
Personnel on bed carry out pulse, heart rate, blood pressure and blood oxygen saturation information and are detected, and by the pulse, heart rate, blood pressure of detection
It is sent to Cloud Server with blood oxygen saturation information, the bed monitoring unit is used to believe temperature, humidity, the pressure on bed
Breath is detected, and the temperature, humidity and pressure information of detection are sent to Cloud Server；
Temperature, the humidity information of the cloud server microprocessor transmission, the bed of temperature and setting to reception
Normal temperature range compared, obtain temperature difference △ T；The standard humidity range of humidity and setting to reception compares
Compared with obtaining psychrometric difference △ S；
The pressure information for each pressure sensor detection that the cloud server microprocessor is sent, constitutes pressure information
Set Yi (y1, y2 ..., yi), i are the number of pressure sensor, the pressure value progress of the pressure information set Yi and setting
Compare, obtains pressure difference set △ Yi (△ y1, △ y2 ..., △ yi)；
The numerical value of pressure difference set △ Yi is judged, if △ yi ＞ 0, shows that personnel are located at the pressure that number is i and pass
Above sensor, by judging the numerical value in pressure difference set △ Yi, the position that grasp personnel are lain, once personnel are from bed
When tumbling, Cloud Server sends a control signal to supervisory terminal, and supervisory terminal is managed by care provider, the supervisory terminal prompt
Supervisor pays attention to；
The pulse of the cloud server arm detection unit transmission, heart rate, blood pressure, blood oxygen saturation information, docking
Pulse, heart rate, blood pressure and the blood oxygen saturation information of receipts respectively with the Pulse-Parameters of setting, hrv parameter, blood pressure parameter with
And blood oxygen saturation parameter is compared, and obtains pulse difference △ a, heart rate difference △ b, blood pressure parameter △ c and blood oxygen saturation parameter
△ d, the Cloud Server judge the sleep soundly safety of process of personnel by security evaluation coefficient, the security evaluation system
Number K,Wherein, ρ is constant and is 1.012, and Cloud Server is by security evaluation coefficient
It is sent to supervisory terminal；
The security evaluation coefficient reaction is located at safety grade of the personnel in sleep procedure on bed, the safety
Safe coefficient journey inverse ratio during metewand is slept soundly with personnel shows that personnel belong to dangerous when security evaluation COEFFICIENT K is more than 1
State, Cloud Server transmission control instruction to supervisory terminal, supervisory terminal carry out warning reminding at this time.
Further, the arm monitoring unit is arm ring, and the arm ring is worn on the arm of personnel, the hand
Arm monitoring unit includes pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module and arm
Microprocessor, arm microprocessor respectively with pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation
Detection module connects；
The pulse detection module is pulse transducer, is detected for the pulse to personnel, and by the pulse of detection
Information is sent to arm microprocessor；The heart rate detection module is heart rate sensor, is detected for the heart rate to personnel,
And the heart rate information of detection is sent to arm microprocessor；The blood pressure detecting module is blood pressure sensor, for examining in real time
The blood pressure of survey personnel, and the blood pressure of detection is sent to arm microprocessor；The blood oxygen saturation detection module is full for blood oxygen
With degree sensor, it is detected for the blood oxygen saturation to personnel, and the blood oxygen saturation information of detection is sent to arm
Microprocessor；
The arm microprocessor sends the pulse information of reception, heart rate information, blood pressure information, blood oxygen saturation information
To Cloud Server.
Further, the bed monitoring unit include temperature detecting module, humidity detecting module, pressure detecting module and
Microprocessor, the microprocessor are connect with temperature detecting module, humidity detecting module, pressure detecting module respectively；
The temperature detecting module is temperature sensor, the temperature for detecting bed, and the temperature of detection is sent to
Microprocessor, the humidity detecting module is humidity sensor, and for detecting the humidity in bed, the humidity information of detection is sent out
It send to microprocessor；The pressure detecting module is sent for detecting the pressure information on bed, and by the pressure information of detection
To microprocessor；
The microprocessor be used for receive temperature detecting module, humidity detecting module, pressure detecting module send temperature,
Humidity and pressure information, and the temperature, humidity and pressure information of detection are sent to server.
Further, the bed monitoring unit further includes trigger module, and the trigger module is connect with microprocessor, root
The pressure information sent according to the pressure detecting module that microprocessor receives controls trigger module, trigger module and arm monitoring unit
The connection of arm microprocessor, for sending triggering command to arm microprocessor, the arm microprocessor control pulse inspection
Module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module is surveyed to work.
Further, it when the temperature of detection is less than the minimum temperature within the scope of normal temperature, compared with minimum temperature, obtains
To △ T=| TDetection-TIt is low|；When the temperature of detection is higher than the maximum temperature within the scope of normal temperature, compared with maximum temperature, obtain
To △ T=| TDetection-TIt is high|；When the temperature of detection is located within the scope of normal temperature, not with normal temperature range, temperature difference is obtained
△ T=0.
Further, it when the humidity of detection is less than the minimum humidity within the scope of standard humidity, compared with minimum humidity, obtains
To △ S=| SDetection-SIt is low|；When the humidity of detection is higher than the highest humidity within the scope of standard humidity, compared with highest humidity, obtain
To △ S=| SDetection-SIt is high|；When the humidity of detection is located within the scope of standard humidity, not with standard humidity range, temperature difference is obtained
△ S=0.
Beneficial effects of the present invention：
Sleep quality safety estimation system provided by the invention based on big data, by arm monitoring unit to personnel's
Physiological condition parameter is detected, and the data detected by bed monitoring unit, judges safety of the personnel in sleeping soundly, together
When can determine whether personnel fall from bed, improve the safety of old man or child in sleeping process, avoid occur brain
It rescues dead not as good as caused by when dead or falls injury from bed, substantially increase to during old man or sleep of children
Supervision and safety.
Description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of the sleep quality safety estimation system based on big data of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other without creative efforts
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of sleep quality safety estimation system based on big data, including monitoring dress
It sets, Cloud Server and supervisory terminal, the Cloud Server are connect with monitoring device and supervisory terminal respectively.
The monitoring device includes arm monitoring unit and bed monitoring unit, and the arm monitoring unit is used for lying in
Personnel on bed carry out pulse, heart rate, blood pressure and blood oxygen saturation information and are detected, and by the pulse, heart rate, blood pressure of detection
Be sent to Cloud Server with blood oxygen saturation information, bed monitoring unit be used for on bed temperature, humidity, pressure information into
Row detection, and the temperature, humidity and pressure information of detection are sent to Cloud Server.
Arm monitoring unit uses arm ring, the arm ring to wear on the arm of personnel, the arm monitoring unit
Including pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module and arm microprocessor,
Arm microprocessor connects with pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module respectively
It connects；The pulse detection module is pulse transducer, is detected for the pulse to personnel, and the pulse information of detection is sent out
It send to arm microprocessor；The heart rate detection module is heart rate sensor, is detected for the heart rate to personnel, and will inspection
The heart rate information of survey is sent to arm microprocessor；The blood pressure detecting module is blood pressure sensor, is used for real-time testing staff
Blood pressure, and the blood pressure of detection is sent to arm microprocessor；The blood oxygen saturation detection module passes for blood oxygen saturation
Sensor is detected for the blood oxygen saturation to personnel, and the blood oxygen saturation information of detection is sent to arm microprocessor
The pulse information of reception, heart rate information, blood pressure information, blood oxygen saturation information are sent to cloud by device, the arm microprocessor
Server.
Bed monitoring unit includes temperature detecting module, humidity detecting module, pressure detecting module, trigger module and Wei Chu
Device is managed, microprocessor is connect with temperature detecting module, humidity detecting module, pressure detecting module, trigger module respectively, the temperature
It is that temperature sensor is mounted on bed pad to spend detection module, the temperature for detecting bed, and the temperature of detection is sent to
Microprocessor, the humidity detecting module is humidity sensor, and for detecting the humidity in bed, the humidity information of detection is sent out
It send to microprocessor；
The pressure detecting module is mounted on bed, includes the pressure detecting point of multiple array distributions, each pressure inspection
Pressure sensor is installed at measuring point, the pressure sensor of different location is numbered, number order is followed successively by 1,2,
3 ..., the numerical value that is detected by pressure sensor on bed, it may be appreciated that the pressure of the pressure sensor detection of different location
Force information, and the corresponding number of the pressure information of detection and pressure sensor is sent to microprocessor, wherein the pressure of detection
Force information composition set Yi (y1, y2 ..., yi), i is the number of pressure sensor.
Microprocessor is used to receive temperature, the humidity that temperature detecting module, humidity detecting module, pressure detecting module are sent
And pressure information, and the temperature, humidity and pressure information of detection are sent to server；
The trigger module is connect with microprocessor, and the pressure sent according to the pressure detecting module that microprocessor receives is believed
Breath control trigger module, trigger module is connect with the arm microprocessor of arm monitoring unit, for sending triggering command to hand
Arm microprocessor, control pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module carry out
Work ensures that arm monitoring unit is carried out at the same time detection with bed monitoring unit.
Temperature, humidity and the pressure information that the cloud server microprocessor is sent, the temperature to detection and setting
The normal temperature range of bed compared, temperature difference △ T are obtained, if the temperature of the detection is less than within the scope of normal temperature
When minimum temperature, compared with minimum temperature, △ T=are obtained | TDetection-TIt is low|；If the temperature of the detection is higher than within the scope of normal temperature
Maximum temperature when, compared with maximum temperature, obtain △ T=| TDetection-TIt is high|, if the temperature of the detection is located at normal temperature range
When interior, not with normal temperature range, temperature difference △ T=0 are obtained.
Cloud Server is compared the humidity of reception with the standard humidity range of setting, obtains psychrometric difference △ S, if the inspection
When the humidity of survey is less than the minimum humidity within the scope of standard humidity, compared with minimum humidity, △ S=are obtained | SDetection-SIt is low|；If should
When the humidity of detection is higher than the highest humidity within the scope of standard humidity, compared with highest humidity, △ S=are obtained | SDetection-SIt is high|, if
When the humidity of the detection is located within the scope of standard humidity, not with standard humidity range, temperature difference △ S=0 are obtained.
The pressure letter of each pressure sensor detection in the pressure detecting module that the cloud server microprocessor is sent
Breath, pressure information is compared with the pressure value of setting, obtains pressure difference set △ Yi (△ y1, △ y2 ..., △ yi),
In, the pressure value set is the bedding weight on pressure sensor；
The numerical value of pressure difference set △ Yi is judged, if △ yi ＞ 0, shows that personnel are located at the pressure that number is i and pass
Above sensor, by judging the numerical value in pressure difference set △ Yi, the position that grasp personnel are lain, once personnel are from bed
When tumbling, Cloud Server sends a control signal to supervisory terminal, and supervisory terminal is managed by care provider, the supervisory terminal prompt
Supervisor pays attention to.
In addition, the pulse of cloud server arm detection unit transmission, heart rate, blood pressure, blood oxygen saturation information, docking
Pulse, heart rate, blood pressure and the blood oxygen saturation information of receipts respectively with the Pulse-Parameters of setting, hrv parameter, blood pressure parameter with
And blood oxygen saturation parameter is compared, and obtains pulse difference △ a, heart rate difference △ b, blood pressure parameter △ c and blood oxygen saturation parameter
△ d, the Cloud Server judge the sleep soundly safety of process of personnel by security evaluation coefficient, the security evaluation system
Number K,Wherein, ρ is constant and is 1.012, and Cloud Server is by security evaluation coefficient
It is sent to supervisory terminal, the supervisory terminal can be smart mobile phone or bracelet, understand the middle personnel that sleep soundly in real time convenient for supervisor
Safety.
By the safety for the personnel that incidence coefficient can determine whether to be located on bed, the security evaluation coefficient reaction is located at bed
Safety grade of the personnel spread in sleep procedure, security evaluation coefficient and personnel sleep soundly in safe coefficient journey inverse ratio,
When security evaluation COEFFICIENT K is more than 1, show that personnel belong to precarious position, Cloud Server sends control instruction to supervising end at this time
End, supervisory terminal carry out warning reminding, understand the safe condition of personnel in time in sleep convenient for care provider, reduce personnel's
It is dangerous.
Sleep quality safety estimation system provided by the invention based on big data, by arm monitoring unit to personnel's
Physiological condition parameter is detected, and the data detected by bed monitoring unit, judges safety of the personnel in sleeping soundly, together
When can determine whether personnel fall from bed, improve the safety of old man or child in sleeping process, avoid occur brain
It rescues dead not as good as caused by when dead or falls injury from bed, substantially increase to during old man or sleep of children
Supervision and safety.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or substitutes by a similar method, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (6)
1. a kind of sleep quality safety estimation system based on big data, it is characterised in that：Including monitoring device, Cloud Server and
Supervisory terminal, the Cloud Server are connect with monitoring device and supervisory terminal respectively；
The monitoring device includes arm monitoring unit and bed monitoring unit, and the arm monitoring unit is used for lying on a bed
Personnel carry out pulse, heart rate, blood pressure and blood oxygen saturation information are detected, and by the pulse of detection, heart rate, blood pressure and blood
Oxygen saturation information is sent to Cloud Server, the bed monitoring unit be used for on bed temperature, humidity, pressure information into
Row detection, and the temperature, humidity and pressure information of detection are sent to Cloud Server；
Temperature, the humidity information of the cloud server microprocessor transmission, the mark of the bed of temperature and setting to reception
Quasi- temperature range is compared, and temperature difference △ T are obtained；The humidity of reception is compared with the standard humidity range of setting, is obtained
To psychrometric difference △ S；
The pressure information for each pressure sensor detection that the cloud server microprocessor is sent, constitutes pressure information set
Yi (y1, y2 ..., yi), i are the number of pressure sensor, and the pressure value of the pressure information set Yi and setting is compared
Compared with obtaining pressure difference set △ Yi (△ y1, △ y2 ..., △ yi)；
The numerical value of pressure difference set △ Yi is judged, if △ yi ＞ 0, shows that personnel are located at the pressure sensor that number is i
Top, by judging the numerical value in pressure difference set △ Yi, the position that grasp personnel are lain, once personnel tumble from bed
When, Cloud Server sends a control signal to supervisory terminal, and supervisory terminal is managed by care provider, the supervisory terminal prompt supervision
Personnel pay attention to；
The pulse of the cloud server arm detection unit transmission, heart rate, blood pressure, blood oxygen saturation information, to reception
Pulse, heart rate, blood pressure and blood oxygen saturation information respectively with the Pulse-Parameters of setting, hrv parameter, blood pressure parameter and blood
Oxygen saturation parameter is compared, and obtains pulse difference △ a, heart rate difference △ b, blood pressure parameter △ c and blood oxygen saturation parameter △ d,
The Cloud Server judges the sleep soundly safety of process of personnel by security evaluation coefficient, the security evaluation COEFFICIENT K,Wherein, ρ is constant and is 1.012, and Cloud Server sends security evaluation coefficient
To supervisory terminal；
The security evaluation coefficient reaction is located at safety grade of the personnel in sleep procedure on bed, the security evaluation
Safe coefficient journey inverse ratio during coefficient is slept soundly with personnel shows that personnel belong to precarious position when security evaluation COEFFICIENT K is more than 1,
The Cloud Server sends control instruction to supervisory terminal, and the supervisory terminal carries out warning reminding.
2. a kind of sleep quality safety estimation system based on big data according to claim 1, it is characterised in that：It is described
Arm monitoring unit is arm ring, and the arm ring is worn on the arm of personnel, and the arm monitoring unit includes pulse inspection
Survey module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module and arm microprocessor, arm microprocessor
Device is connect with pulse detection module, heart rate detection module, blood pressure detecting module, blood oxygen saturation detection module respectively；
The pulse detection module is pulse transducer, is detected for the pulse to personnel, and by the pulse information of detection
It is sent to arm microprocessor；The heart rate detection module is heart rate sensor, is detected for the heart rate to personnel, and will
The heart rate information of detection is sent to arm microprocessor；The blood pressure detecting module is blood pressure sensor, for detecting people in real time
The blood pressure of member, and the blood pressure of detection is sent to arm microprocessor；The blood oxygen saturation detection module is blood oxygen saturation
Sensor is detected for the blood oxygen saturation to personnel, and the blood oxygen saturation information of detection is sent to the micro- place of arm
Manage device；
The pulse information of reception, heart rate information, blood pressure information, blood oxygen saturation information are sent to cloud by the arm microprocessor
Server.
3. a kind of sleep quality safety estimation system based on big data according to claim 1, it is characterised in that：It is described
Bed monitoring unit includes temperature detecting module, humidity detecting module, pressure detecting module and microprocessor, the microprocessor
It is connect respectively with temperature detecting module, humidity detecting module, pressure detecting module；
The temperature detecting module is temperature sensor, the temperature for detecting bed, and the temperature of detection is sent to micro- place
Device is managed, the humidity detecting module is that the humidity information of detection is sent to by humidity sensor for detecting the humidity in bed
Microprocessor；The pressure detecting module for detecting the pressure information on bed, and the pressure information of detection is sent to micro-
Processor；
The microprocessor is used to receive temperature, the humidity that temperature detecting module, humidity detecting module, pressure detecting module are sent
And pressure information, and the temperature, humidity and pressure information of detection are sent to server.
4. a kind of sleep quality safety estimation system based on big data according to claim 3, it is characterised in that：It is described
Bed monitoring unit further includes trigger module, and the trigger module is connect with microprocessor, the pressure received according to microprocessor
The pressure information that detection module is sent controls trigger module, and trigger module is connect with the arm microprocessor of arm monitoring unit,
For sending triggering command to arm microprocessor, the arm microprocessor control pulse detection module, heart rate detection module,
Blood pressure detecting module, blood oxygen saturation detection module work.
5. a kind of sleep quality safety estimation system based on big data according to claim 1, it is characterised in that：Work as inspection
When the temperature of survey is less than the minimum temperature within the scope of normal temperature, compared with minimum temperature, △ T=are obtained | TDetection-TIt is low|；Work as inspection
When the temperature of survey is higher than the maximum temperature within the scope of normal temperature, compared with maximum temperature, △ T=are obtained | TDetection-TIt is high|；Work as inspection
When the temperature of survey is located within the scope of normal temperature, not with normal temperature range, temperature difference △ T=0 are obtained.
6. a kind of sleep quality safety estimation system based on big data according to claim 1, it is characterised in that：Work as inspection
When the humidity of survey is less than the minimum humidity within the scope of standard humidity, compared with minimum humidity, △ S=are obtained | SDetection-SIt is low|；Work as inspection
When the humidity of survey is higher than the highest humidity within the scope of standard humidity, compared with highest humidity, △ S=are obtained | SDetection-SIt is high|；Work as inspection
When the humidity of survey is located within the scope of standard humidity, not with standard humidity range, temperature difference △ S=0 are obtained.
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