CN110780600A - Sleep-assisting mattress with alarm function - Google Patents
Sleep-assisting mattress with alarm function Download PDFInfo
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- CN110780600A CN110780600A CN201911146491.XA CN201911146491A CN110780600A CN 110780600 A CN110780600 A CN 110780600A CN 201911146491 A CN201911146491 A CN 201911146491A CN 110780600 A CN110780600 A CN 110780600A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to a mattress, which comprises a data acquisition unit, wherein the data acquisition unit sends one or more information of pressure information, humidity information, temperature information and heart sound information to a singlechip processing unit as a layer of data, the singlechip processing unit is used for classifying and storing the layer of data received according to different channels, linking the class information as mark information to sensing data records corresponding to all sensors in the layer of data and storing the marking information in the data storage unit, and the singlechip processing unit also sends the sensing data records corresponding to all the sensors and the mark information linked to the sensing data records corresponding to all the sensors in the layer of data to a mobile terminal as a layer of data through a data transmission unit in a wired and/or wireless mode. The sleep assisting mattress with the alarm function can intelligently realize the monitoring of the physiological condition of the user and realize feedback alarm or sleep suggestion feedback based on the monitoring result.
Description
The invention discloses a divisional application of a mattress for assisting sleep, which has an application number of 201710238263. X.
Technical Field
The invention relates to an intelligent mattress, in particular to an auxiliary sleep mattress with an alarm function.
Background
Chinese patent an intelligent mattress system (patent No. 201510653930.1) discloses that the system includes: a body mattress laid on a user bed; the temperature control unit is used for controlling the surface temperature of the main mattress within a preset range; the sleep recording unit is used for recording sleep information of a user; the analysis unit is used for analyzing the sleep information of the user to obtain a sleep quality report; a display unit for displaying the sleep quality report. The patent does not have the function of monitoring physiological information of a user in real time, cannot give an alarm on physiological abnormality of the user, does not relate to the technical scheme of adjusting the hardness of the mattress according to the sleeping posture of the user, and does not have the effect of adjusting the hardness of the mattress according to the sleeping posture of the user to prevent cervical spondylosis.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a mattress for assisting sleep, which is characterized by at least comprising: the system comprises a data acquisition unit, a single chip microcomputer processing unit, a mobile terminal and a server/cloud platform; the server/cloud platform completes analysis and statistics of the current physiological state, the sleep posture and the bed leaving information of the user based on three layers of data sent by the mobile terminal, realizes judgment of the physiological safety level, the sleep posture and the bed leaving condition of the user based on analysis and statistics results of the current physiological state, the sleep posture and the bed leaving condition of the user and a comprehensive processing scheme called from a scheme database, and simultaneously forms feedback data to be sent to the mobile terminal and/or a single chip microcomputer processing unit; the feedback data at least comprises command data, and the command data is command information which is sent to the single chip microcomputer processing unit and is used for controlling at least one sensor in the data acquisition unit to carry out secondary acquisition on the sensing data; the secondary acquisition of the sensing data is that a comprehensive data processing module in the server/cloud platform monitors that pressure information data and/or humidity information data and/or temperature information data and/or heart sound information data are transmitted when the sleeping posture of the user changes through a pressure sensor; and the sensing data acquired by the sensing unit for the second time is subjected to data processing by the server/cloud platform.
In the process of carrying out data acquisition by the data acquisition unit of the mattress device, all sensors on the mattress do not carry out data acquisition at the same time, so that the data processing pressure of the server/cloud platform is reduced. Meanwhile, each sensor in the data acquisition unit only realizes data acquisition according to the control command of the single chip microcomputer processing unit, and the working state is not required to be maintained all the time, so that the service life of each sensor is prolonged, the energy consumption of the mattress is reduced, and unnecessary power consumption is reduced.
According to a preferred embodiment, the secondary collection of the humidity information data and/or the temperature information data and/or the heart sound information data is the secondary collection of pressure information based on the pressure sensor, and the secondary collection of the humidity information data and/or the temperature information data and/or the heart sound information data of the corresponding area is realized by analyzing and confirming the sleeping posture of the user through the server/cloud platform and the contact area of the user and the mattress.
The secondary collection of the humidity information data and/or the temperature information data and/or the heart sound information data of the mattress is carried out after the sleeping posture of the user and the contact position of the user with the mattress are confirmed again based on the pressure sensor, so that the humidity, the temperature and the heart sound sensors are all subjected to data collection again based on the new contact area or position of the user and the mattress, the process of starting the sensors on the whole mattress to carry out data collection and data analysis is avoided, unnecessary data collection of the sensors on the mattress and the user in the non-contact area is avoided, and the data processing pressure of the server/cloud platform is reduced.
According to a preferred embodiment, the command data further comprises temperature adjustment data based on the collected temperature information of the user and firmness adjustment data of the mattress area based on the sleeping posture of the user; the temperature adjusting data is used for controlling a temperature adjusting unit on the mattress to realize temperature adjustment; the mattress region hardness adjustment data is used for completing hardness adjustment of corresponding regions based on the sleeping posture of the user and the contact region of the user and the mattress.
The temperature information that this mattress device detected through data sensing unit can realize the temperature regulation of mattress through the comprehensive data processing unit of server/cloud platform, improves user's sleep physical examination. Meanwhile, the mattress can also complete the adjustment of the hardness of the mattress based on different sleeping postures of the user through the sleeping posture analyzed by the user according to the pressure information of the mattress, thereby achieving the purpose of protecting the cervical vertebra of the human body.
According to a preferred embodiment, the feedback data further comprises result display data and/or alarm data, wherein the display data is at least one of text, digital list and image which is sent to the mobile terminal and formed for displaying to the user; the alarm data are sent to the single chip microcomputer processing unit, the alarm including alarm sound and buzzing is completed through controlling the alarm unit, and meanwhile the server/cloud platform sends the alarm information to at least one associated object of the user.
According to a preferred embodiment, the step of sending the alarm information to at least one associated object by the server/cloud platform comprises sending the alarm information to at least one associated object which is geographically and/or logically associated with the user, and sending the alarm information to at least one associated object in the order of the strength of association with the user from large to small; wherein the at least one associated object geographically associated with the user comprises at least one associated object having a physical distance from the user less than or equal to a preset threshold; wherein the at least one associated object logically associated with the user comprises at least one associated object having a relationship of relative, membership, and ambulance relationship with the user.
According to a preferred embodiment, the data acquisition unit sends one or more information including pressure information, humidity information, temperature information and heart sound information to the single chip microcomputer processing unit as a layer of data; the single chip microcomputer processing unit classifies and stores the data of one layer received according to different channels, links the classification information serving as the marking information to the sensing data records corresponding to the sensors in the data of one layer, and stores the information in the data storage unit.
According to a preferred embodiment, the single chip microcomputer processing unit sends the sensing data records including the sensing data records corresponding to the sensors and the mark information linked to the sensing data records corresponding to the sensors in the data-in-one layer to the mobile terminal in a wired and/or wireless mode through the data transmission unit as data-in-two layer.
According to a preferred embodiment, the data preprocessing module in the server/cloud platform completes preprocessing of numerical range classification on the two-layer data including the user pressure information data, the humidity information data, the temperature information data and the heart sound information data sent by the mobile terminal based on the data preprocessing scheme stored in the scheme database, and sends the three-layer data formed after preprocessing to the comprehensive data processing module.
Through the mattress of supplementary sleep, the mattress can the intelligent monitoring that realizes user's physiological condition to realize feedback warning or sleep suggestion feedback based on the monitoring result, thereby help the user to know the self sleep condition and improve self sleep quality, simultaneously, the mattress is through carrying out the processing submodule piece to handling to the data of gathering in stages, avoids the reaction rate that appears when carrying out data processing through single data processing unit slows down and processing unit overheated scheduling problem, and has made things convenient for the control of whole data acquisition and processing procedure.
According to a preferred embodiment, the pressure sensor is connected with the amplifying circuit, the humidity sensor is connected with the amplifying circuit, the temperature sensor (connected with the amplifying circuit, and the heart sound sensor is connected with the amplifying circuit), and the amplifying circuit sends the amplified data containing the pressure information data, the humidity information data, the temperature information data and the heart sound information data to the single chip microcomputer processing unit through the A/D conversion circuit to perform primary processing on a layer of data.
According to a preferred embodiment, the pressure sensor is one or more of a semiconductor piezoresistance sensor, an electrostatic capacity type pressure sensor and a diffused silicon pressure transmitter; the humidity sensor is one or more of a resistance type lithium chloride hygrometer, a dew point type lithium chloride hygrometer, a carbon humidity sensitive type hygrometer, an alumina hygrometer and a ceramic humidity sensor; the temperature sensor is a contact type or non-contact type thermometer sensor; the heart sound sensor is one or more of an infrared pulse sensor, a heart rate pulse sensor, a photoelectric pulse sensor, a digital pulse sensor, a heart sound pulse sensor and an integrated pulse sensor.
Drawings
FIG. 1 is a functional block diagram of a mattress of the present invention;
FIG. 2 is a schematic view of a sensing module of the present invention;
FIG. 3 is a plot of the values of six data acquisition channels within the A/D conversion circuit 30s of the present invention;
FIG. 4 is a plot of the values of six data acquisition channels within 30s after filtering by the A/D conversion circuit of the present invention;
FIG. 5 is a graph of the values of the A/D conversion circuit 30s for breath determination of the present invention;
FIG. 6 is a data graph for respiration monitoring according to the present invention;
FIG. 7 is a graph of the values in the A/D conversion circuit 30s for turn-over judgment of the present invention; and
fig. 8 is a graph of the values in the a/D conversion circuit 30s for bed exit determination of the present invention.
List of reference numerals
101: the power supply module 102: the data acquisition unit 103: single chip processor processing unit
104: the data transmission unit 105: the alarm unit 106: display unit
107: the mobile terminal 108: server/cloud platform 109: data storage unit
102 a: pressure sensor 102 b: humidity sensor
102 c: temperature sensor 102 d: heart sound sensor
102 e: the amplifier circuit 102 f: A/D conversion circuit
108 a: the data preprocessing module 108 b: schema database
108 c: integrated data processing module
Detailed Description
The following detailed description is made with reference to the accompanying drawings.
Fig. 1 shows a functional block schematic of a mattress of the invention. As shown in figure 1, the functional modules of the mattress comprise a power supply module 101, a data acquisition unit 102, a singlechip processing unit 103, a data transmission unit 104, an alarm unit 105, a display module 106 and a data storage unit 109 which are positioned on the mattress. The mattress function module also includes a remotely located mobile terminal 107 and a server/cloud platform 108.
The data acquisition unit 102 includes a pressure sensor 102a for acquiring pressure data, a humidity sensor 102b for acquiring humidity data, a temperature sensor 102c for acquiring temperature data, a heart sound sensor 102D for acquiring heart sound data, an amplification circuit 102e for implementing signal amplification processing, and an a/D conversion circuit 102 f. The server/cloud platform 108 includes a data preprocessing module 108a, a schema database 108b, and a comprehensive data processing module 108 c. The scenario database 108b is provided with data processing scenarios for different groups of people, such as data processing scenarios for children, adults and elderly people, and processing scenarios for patients, etc.
The mattress surface is divided into a plurality of regions according to rectangular grids, and each region is in the same rectangular shape. For example, the mattress may be divided into regions having nine rectangular structures in the lateral direction and twelve rectangular structures in the vertical direction. Each region of the mattress is provided with a pressure sensor 102a, a humidity sensor 102b, a temperature sensor 102c and a heart sound sensor 102 d. Meanwhile, each area is provided with an adjusting mechanism for adjusting the hardness of the area through inflation or other means.
The power module 101 is respectively connected with the data acquisition unit 102 and the single chip microcomputer processing unit 103, and is used for supplying power to each functional module on the mattress. The data acquisition unit 102 is connected with the singlechip processing unit 103. The data acquisition unit 102 is used for realizing data acquisition of a layer of data including pressure data, humidity data, temperature data and heart sound data.
The single chip microcomputer processing unit 103 is used for performing primary processing including classification and storage on the acquired data of the first layer and forming data of the second layer. The single chip processing unit 103 classifies and stores the first layer data received according to different channels, links the classification information as the mark information to the sensing data record corresponding to each sensor in the first layer data, and uses the mark information including the sensing data record corresponding to each sensor and the sensing data record corresponding to each sensor in the first layer data as the second layer data.
The single-chip processing unit 103 is connected to the data storage unit 109, and is configured to implement storage of data related to the single-chip processing unit 103. The single chip microcomputer processing unit 103 is also connected with an alarm unit 105 positioned on the mattress. When the server/cloud platform 108 detects an abnormal condition of a human body signal, the alarm unit 105 is triggered, the alarm unit 105 sends an alarm sound and a buzzer and also sends an alarm prompt to the display module 106, and meanwhile, the server/cloud platform 108 sends the alarm information to at least one associated object of a user.
The process of sending the alarm information to the at least one associated object by the server/cloud platform 108 includes sending the alarm information to the at least one associated object geographically and/or logically associated with the user, and sending the alarm information to the at least one associated object in the order of the strength of association with the user from large to small.
Wherein the at least one associated object geographically associated with the user comprises at least one associated object having a physical distance from the user less than or equal to a preset threshold. Wherein the at least one associated object logically associated with the user comprises at least one associated object having a relationship of relative, membership, and ambulance relationship with the user. The membership relationship comprises that the user is affiliated to a certain nursing institution, managed by a certain cell and/or a certain property company, affiliated to a certain street office and the like. The aid relations include an aid relation of the user with a certain hospital and/or a certain medical institution, etc.
Meanwhile, the influence strength and/or the association strength of the alarm information on the associated object are/is also determined according to different association strength values, and the associated object with stronger association reacts earlier.
Wherein the at least one associated object geographically associated with the user comprises at least one associated object having a physical distance from the user less than or equal to a preset threshold. For example, the threshold may be set to 100m, and the closer to the user the associated object within the threshold distance range, the larger the associated value. For example, the correlation value is 100 when the distance from the user is 1m or less, the correlation value is 95 when the distance from the user is more than 1m and two meters or less, and the correlation value is smaller as the distance is farther away, and is reduced proportionally.
Wherein the at least one associated object logically associated with the user comprises at least one associated object having a relationship of relative, membership, and ambulance relationship with the user. And aiming at the logic correlation value, when the alarm data is temperature, humidity and/or pressure type information, the correlation object belonging to the membership relationship has a larger correlation value, the correlation object related to the relationship has a smaller correlation value, and the correlation object related to the rescue relationship has a minimum correlation value. When the alarm data is heart sound information, the related object related to the rescue has a larger related value, and the related object related to the membership has a smaller related value. According to a preferred embodiment, the feedback information sent to the associated object is preferentially sent to at least one associated object that is logically associated with it.
According to a preferred embodiment, the alarm unit 105 further comprises a camera device. The camera device is used for monitoring an abnormal state and bed leaving, when a user is in the abnormal state, the server/cloud platform 108 receives an alarm signal from the mattress, meanwhile, the grade of the abnormal state is judged, when the user is in an emergency state, a related object set by the user is contacted, and the camera device can be remotely opened by the related object. When the data of the temperature sensor 102c and the heart sound sensor 102d are all zeroed for a certain time, for example, 10 s. The camera can be automatically opened for identification, if a human body cannot be found, the user is judged to be out of the bed, otherwise, the user is judged to have an emergency situation, such as sudden respiration stop, sudden cardiac stop and the like.
Abnormal state level determination: when the user sends out the abnormal state, the alarm is given according to the abnormal states with different levels and the physiological information provided by the user. For example, the levels of the abnormal state are: poor sleep, disease prevention, need for rescue, etc. When the user is just turning over, it can be judged that the health state of the user is good, but the sleep is not good. When the user rolls over, it can be determined that the user needs to observe, the server/cloud platform 108 sends information to the associated object of the relationship or the membership set by the user, and the associated object can remotely turn on the camera device at the mobile terminal 107 or the server/cloud platform 108 to observe the video. When the user needs to be rescued, for example, the data of the temperature sensor 102c and the heart sound sensor 102d are suddenly zeroed, and the camera is turned on to determine that the user is still in bed, the server/cloud platform 108 sends out command information for contacting the associated object, and the associated object can remotely turn on the camera at the mobile terminal or the cloud platform to confirm the state and realize the rescue of the user.
The single chip microcomputer processing unit 103 is connected to the mobile terminal 107 through the data transmission unit 104, and is configured to transmit the two layers of data to the mobile terminal 107 in a wired and/or wireless manner, and to receive feedback information or data transmitted from the mobile terminal 107 to the single chip microcomputer processing unit 103. The mobile terminal 107 may be configured to display two-layer data, and a user may view various sensing data acquired by the data acquisition unit 102 and data information obtained by processing one-layer data by the single-chip processing unit 103 through the mobile terminal 107. Meanwhile, the user can view the feedback data of the server/cloud platform 108 through the mobile terminal 107. The mobile terminal 107 is also used to enable input of scenario data and input of user personal information in the server/cloud platform 108. The mobile terminal 107 is connected to a server/cloud platform 108. The server/cloud platform 108 is configured to implement processing and feedback processes for the two-layer data transmitted by the mobile terminal 107. The mobile terminal includes, but not limited to, a mobile phone and a tablet computer, and all devices capable of completing communication of 2G/3G/4G and all other 3GPP protocols can be regarded as the mobile terminal 107.
A data preprocessing module 108a in the server/cloud platform 108 is connected to the mobile terminal 107 and the schema database 108b, and performs data preprocessing on the received two-layer data transmitted by the mobile terminal 107. The data preprocessing module 108a is also connected to the integrated data processing module 108 c. The data preprocessing module 108a sends the three-layer data formed by processing the two-layer data to the integrated data processing module 108 c.
The data preprocessing comprises the following steps: and confirming the type of the sensing data in the received two-layer data. And the data classification scheme stored in the scheme database 108b is retrieved based on one or more sensor data type information contained in the two-layer data to complete the numerical range classification of various sensing data in the two-layer data. And the data preprocessing module 108a sends the three-layer data formed after the classification of the numerical range of the two-layer data is completed to the comprehensive data processing module 108 c.
The comprehensive data processing module 108c sends feedback data formed by processing the three layers of data to the mobile terminal 107 and/or the single chip processing unit 103.
The comprehensive data processing module 108c analyzes the current physiological state, the sleep posture and the out-of-bed condition of the user based on the received data including the pressure information data, the humidity information data, the temperature information data and the heart sound data of the user, and confirms the physiological safety level, the sleep posture and the out-of-bed condition of the user based on the analysis result of the current physiological state, the sleep posture and the out-of-bed condition of the user and the comprehensive processing scheme called from the scheme database 108 b.
And forming feedback data including advice information based on the user physiological safety level, the sleep posture and the out-of-bed condition. The feedback data includes result display data and/or alarm data and/or command data, wherein the display data is at least one of text, number list and image which is sent to the display module 106 and the mobile terminal 107 for displaying to the user. The alarm data comprises data sent to the mobile terminal 107 for alarming through the control device and/or the vibration device and data sent to the single chip microcomputer processing unit 103 located on the mattress for alarming and reminding through the control alarm unit 105 and the display module 106. The command data is command information sent to the single chip processing unit 103 and used for controlling at least one sensor in the data acquisition unit 102 to acquire data again.
According to a preferred embodiment, the feedback data at least includes command data, and the command data is command information sent to the single chip processing unit 103 and used for controlling at least one sensor in the data acquisition unit 102 to perform secondary acquisition of sensing data. The secondary acquisition of the sensing data is that the comprehensive data processing module 109c in the server/cloud platform 108 monitors that the pressure information data and/or the humidity information data and/or the temperature information data and/or the heart sound information data are/is acquired when the sleep posture of the user changes through the pressure sensor 102 a. In the data acquisition process of the data acquisition unit 102 of the device, all sensors on the mattress do not acquire data at the same time, so that the data processing pressure of the server/cloud platform 108 is reduced. Meanwhile, each sensor in the data acquisition unit 102 only realizes data acquisition according to the control command of the single chip microcomputer processing unit, and the working state is not required to be maintained all the time, so that the service life of each sensor is prolonged, the energy consumption of the mattress is reduced, and unnecessary power consumption is reduced.
The sensing data acquired by the sensing unit 102 for the second time is processed by the server/cloud platform 108. The secondary collection of the humidity information data and/or the temperature information data and/or the heart sound information data is the secondary collection of the pressure information based on the pressure sensor 102a, and the secondary collection of the humidity information data and/or the temperature information data and/or the heart sound information data of the corresponding region is realized by analyzing and confirming the sleeping posture of the user and the contact region of the user and the mattress through the server/cloud platform 108. The secondary acquisition of the humidity information data and/or the temperature information data and/or the heart sound information data of the mattress is performed after the sleep posture of the user and the contact position with the mattress are confirmed again based on the pressure sensor 102a, so that the humidity, temperature and heart sound sensors are performed on the basis of the new contact area or position of the user and the mattress, the data acquisition and data analysis process of the sensors on the whole mattress is avoided, the unnecessary data acquisition of the sensors on the mattress and the user in the non-contact area is avoided, and the data processing pressure of the server/cloud platform 108 is reduced.
The command data further includes temperature adjustment data based on the collected temperature information of the user and hardness adjustment data of a region of the mattress based on a sleeping posture of the user. The temperature regulation data is used for controlling a temperature regulation unit positioned on the mattress to realize temperature regulation. The mattress region hardness adjustment data is used for completing hardness adjustment of corresponding regions based on the sleeping posture of the user and the contact region of the user and the mattress. The firmness adjustment is based on factors such as pillow height and user weight. The hardness of the mattress is adjusted to realize that the height difference between the head stress area and the shoulder stress area of the user is 10cm to 15cm in the vertical direction under the condition that the user lies on the back or lies on the side. For example, if the height of the pillow for sleeping of the user is 8cm, the deformation interval of the mattress is 2cm to 7cm, namely, the mattress completes the hardness adjustment of the corresponding stress area based on the weight condition of the user, and the deformation interval of the mattress corresponding to the stress area is 2cm to 7 cm. The temperature information detected by the mattress device through the data sensing unit 102 can realize the temperature adjustment of the mattress through the comprehensive data processing unit of the server/cloud platform 108, and the sleep physical examination of the user is improved. Meanwhile, the mattress can also complete the adjustment of the hardness of the mattress based on different sleeping postures of the user through the sleeping posture analyzed by the user according to the pressure information of the mattress, thereby achieving the purpose of protecting the cervical vertebra of the human body.
Fig. 2 shows the connection relationship between the data acquisition unit 102 and the single chip processing unit 103. The pressure sensor 102a is connected with the amplifying circuit 102e, and is used for acquiring pressure information and amplifying signals. The pressure sensor 102a may be a semiconductor piezoresistance sensor, an electrostatic capacitance type pressure sensor, and a diffused silicon pressure transducer. The humidity sensor 102b is connected with the amplifying circuit 102e, and is used for acquiring humidity information by the mattress and completing signal amplification. The humidity sensor may be one or more of a resistive lithium chloride hygrometer, a dew point lithium chloride hygrometer, a carbon humidity sensitive hygrometer, an alumina hygrometer, and a ceramic humidity sensor. The temperature sensor 102c is connected with the amplifying circuit 102e, and is used for acquiring temperature information by the mattress and completing signal amplification. The temperature sensor 102c may be a contact or non-contact thermometer, such as contact temperature sensors including pressure, resistance, thermistor, and thermocouple thermometers. The heart sound sensor 102d is connected with the amplifying circuit 102e, and is used for acquiring the heart sound information of the user by the mattress and completing signal amplification. The heart sound sensor 102d may be one or more of an infrared pulse sensor, a heart sound pulse sensor, a photo-electric pulse sensor, a digital pulse sensor, a heart sound pulse sensor, and an integrated pulse sensor. The amplifying circuit 102e sends the amplified data including the pressure information data, the humidity information data, the temperature information data and the heart sound information data to the single chip microcomputer processing unit 103 through the A/D conversion circuit to perform primary processing of a layer of data.
According to a preferred embodiment, the mattress performs user bed posture monitoring via pressure sensors 102 a. Because it is difficult to predict the posture of the user when he or she is working on the bed, the data of the user needs to be collected through multiple channels, and meanwhile, the pressure sensing system needs to obtain the channel most suitable for data analysis through selection. When the sleeping posture of the user on the bed changes, such as turning over and rolling over, a channel for data processing needs to be changed, and meanwhile, the abnormal state of the user is recorded, such as the information of the turning over times, so that the sleep quality analysis of the user can be preliminarily realized. When the user is a group incapable of self-care, such as infants and old people, the alarm information can be sent out in time.
Further, the user lies flat on the bed, and the pressure sensors 102a on all channels start to collect pressure variation signals at the same time, and after a period of time, for example, 6s, the channels start to be screened. When the data collected in the channel meets a certain condition, for example, the number of points lower/higher than a certain threshold is the largest, the channel is selected for data processing, and the selected channel is subjected to data processing to obtain physiological signals of the user, such as respiration, heartbeat, temperature and humidity, and the physiological signals are collected by the humidity sensor 102b, the temperature sensor 102c and the heart sound sensor 102 d. And simultaneously closing the sensor corresponding to the channel irrelevant to data acquisition.
When the user changes the sleeping posture, certain channels distributed on the bed generate larger signal changes, and the system selects the channels again at the moment. The comprehensive data processing module 108c of the server/cloud platform 108 completes analysis of the posture change of the user based on the pressure change conditions acquired by the pressure sensors 102a in the data acquisition unit 102, and controls the data acquisition unit 102 to replace the data acquisition channel or maintain the original data acquisition channel to continue data acquisition based on the analysis result. When the data acquisition of the pressure sensor 102a is disappeared or obviously reduced beyond 1/10, for example, the pressure value is reduced by 1/5, it is determined that the bed position of the user is obviously changed, and the data acquisition unit 102 needs to be controlled to change the data acquisition channel for data re-acquisition.
The process of changing the data acquisition channel is that when the server/cloud platform 108 monitors that the lying posture of the human body changes through the data acquisition unit 102, the single chip processing unit 103 controls the pressure sensors 102a distributed on the surface of the whole mattress in the data acquisition unit 102 to realize pressure data re-acquisition so as to determine the new lying posture of the human body, after the lying posture of the user is determined, the original sensor acquisition channel is switched to the acquisition channel of the sensor in the contact or stress area of the user and the mattress, and the corresponding channel controls the pressure sensor 102a, the humidity sensor 102b, the temperature sensor 102c and the heart sound sensor 102d to acquire sensing data of the user.
If the pressure signal collected by the pressure sensor 102a does not change greatly, the channel switching is not performed, for example, the human body moves slightly, and the channel switching is not performed at this time, so as to reduce data loss caused by the channel switching.
When the user is in the abnormal state, the type and the number of times of the abnormal state of the user are recorded. Taking a turning example here, when a user turns over, the data collected by the pressure sensor 102a which is partially stressed may be changed, for example, the originally pressed sensor is not stressed any more, when the change meets a set condition, for example, data of some sensors returns to zero, and meanwhile, when the sensor which originally has no data receives data, the user is recorded in a turning state, and the number of times is recorded.
When the user is no longer on the mattress, the originally stressed sensor data changes, when the waveform meets the set conditions, for example, the originally numerical sensor signal is rapidly reset to zero, the position different from turning over is at the zero speed, and all the sensors are reset to zero, the system judges that the user is out of the bed, if the user is a group incapable of self-care, the system sends out an alarm signal after the out-of-bed state reaches a certain time length, for example, 10 minutes.
Furthermore, the method for calculating the respiratory rate is generally a waveform method, and the respiratory rate is obtained by addressing the adjacent effective wave crest and wave trough calculation cycles of the respiratory wave. Currently, much of this research in this field has focused on mattress-based physiological signal monitoring systems, such as french scientist j. And extracting heartbeat and respiration signals by adopting wavelet transformation. The wavelet is a vibration waveform with a certain amplitude and frequency. The waveform mean value is zero, and the amplitude value is alternately positive and negative. And the wavelet transform is a transform that: the time domain signal is composed or decomposed with wavelet bases formed by shifted, etc., wavelets of different frequencies. The difference in the ratio of the center frequency to the bandwidth determines the difference in the wavelets. The process of wavelet transform is very similar to fourier transform.
For example, american scholars Norden e.huang et al propose a non-stationary signal processing method in the time domain-empirical mode decomposition algorithm, EMD for short. Any complex data sequence can be decomposed into a finite number, and usually several, Intrinsic Mode Functions (IMFs). The method has strong self-adaption and high efficiency, and is suitable for nonlinear and non-stable processing procedures because the decomposition is based on the local characteristic of a data time scale. The extraction of the natural mode function enables the meaning of the instantaneous frequency to be more prominent. Meanwhile, the introduction of the instantaneous frequency concept of the complex data sequence effectively avoids the defect that spurious harmonics are used for describing nonlinear and unstable signals. From a signal processing perspective, EMD is a process of decomposing a signal from high frequency to low frequency in steps. It embodies the multi-resolution feature. The method is an innovative breakthrough for non-stationary signal processing in both concept and signal analysis methods, and opens up a new idea. Compared with wavelet transformation, the EMD method does not need to select a basis function, and adaptively decomposes the signal into a finite number of natural mode functions with frequencies from high to low according to the characteristics of the signal, and meanwhile, different IMF components reflect the characteristics of the signal on different time scales. By carrying out spectrum analysis and judgment on each IMF component and returning to the time domain to separate and reconstruct the breath and heartbeat signals of the newborn, the interference of noise, the harmonic waves of the breath signals and the like can be avoided.
The device can also realize the statistics of the user breathing rate through a wavelet algorithm or an EMD algorithm. The sampled signal is a mixed signal of noises such as respiration, heartbeat, body movement and the like. The signals contain harmonic components with different frequencies, and further signal processing is needed to obtain accurate heartbeat and respiration signals. The EMD algorithm is used to decompose the signal into the sum of a limited number of intrinsic mode functions, and the respiratory and heartbeat waveforms are reconstructed according to the frequency band range of the respiratory rate and the heart rate. Firstly, Fast Fourier Transform (FFT) is performed on a mixed signal of respiration and heartbeat, and a frequency corresponding to a maximum spectral peak is found, so that the frequency band ranges of respiration and heartbeat are estimated. The same signal is EMD, and can be decomposed into a plurality of harmonic components with different frequencies. Some harmonic components are components of the respiration or heartbeat signal, and the proportion of energy in the respiration and heartbeat frequency ranges to a certain harmonic component is calculated by performing FFT on each harmonic component. When this ratio is greater than 60% (empirical parameter), it can be considered as a constituent of respiration and heartbeat. After all harmonic components are calculated, the respiration and heartbeat signals can be reconstructed. And performing FFT on the respiration signal and the heartbeat signal respectively, and calculating the frequency corresponding to the highest spectrum peak, namely the respiration rate and the heart rate.
Further, based on the great difference of breathing and heartbeat frequency of different people, the breathing and the heart rate of the same person in different time periods are different, and under special conditions, the breathing rate can be as high as 150 times/minute (2.5Hz), which is overlapped with the heart rate range under normal conditions. Therefore, it is often impossible to accurately measure physiological information under various abnormal conditions by setting a fixed respiration rate and a fixed heart rate frequency band range to separate the respiration signal from the heartbeat signal. Because the heartbeat signal in the mixed signal collected by the signal collector is relatively weak, the energy of the respiration signal is the maximum. Therefore, first, fast fourier transform is performed on the initial mixed signal, and a frequency value corresponding to the spectral peak with the largest energy, that is, an estimated value fc of the respiration rate, is calculated. By utilizing the characteristics that the respiration and the heartbeat of a human body are different in a frequency domain range at the same time and the heart rate is generally higher than the respiration rate, the frequency band range with fc as a median value and the frequency in the range of 0.2Hz as a respiration signal and the frequency band range with fc +0.2Hz to 3Hz as a heartbeat signal are selected. The real-time respiration rate and heart rate can be more accurately calculated through the dynamically selected filtering frequency bands of the respiration and heartbeat signals, and the influence of abnormal physiological conditions of the testee is avoided.
Taking the implementation of the respiration monitoring of the mattress as an example, when a human body lies on the mattress, the center sound sensor 102d of the data acquisition unit 102 starts to acquire parameters and converts the acquired information into an electric signal. The charge signal can be converted into a voltage signal through the amplifying circuit 102e, the signal is sent to the A/D conversion circuit 102f after being denoised, and a mixed voltage signal with breathing and heartbeat signals is denoised to separate out the breathing signal and the heartbeat signal. The voltage signal is converted into a digital signal by the a/D conversion circuit 102f, and then the data is transmitted in the single chip processing unit 103 for digital processing by a serial communication manner, and the calculated information such as the respiration rate is displayed in real time by the display unit. When the suffocation condition is released, the loudspeaker is controlled to send out an alarm signal.
The a/D conversion circuit 102f may process data by using a 30s data sliding window, and update the window every 1 s. As shown in fig. 3, the abscissa is time in seconds and the ordinate is the voltage value count of the a/D conversion circuit 102 f. The mattress has a plurality of data acquisition channels based on the area of contact of the user with the mattress, and figure 3 is a plot of values for selected 6 channels. The signal collected by the heart sound sensor 102d is subjected to smoothing filtering by the amplifying circuit 102e to remove noise in the signal, and fig. 4 is a value map of 6 channels after sliding filtering. The channel corresponding to the maximum value of the distance 2048 between the peak and the trough is selected from the data acquisition channels in fig. 4 as a channel for judging respiration, wherein the abscissa in the figure is time and the unit is second, and the ordinate is the voltage value count of the a/D conversion circuit 102 f. The heart sound sensor 102d itself generates voltage changes due to pressure changes, and after the data acquisition unit 102 amplifies the voltage and the voltage is too high, the voltage change threshold is raised to (0V, +3V), wherein 2048 corresponds to 1.5V, and 4096 corresponds to 3V. The numerical meaning of the sensor unit 102, such as 2048 or 4096, is the result of sampling the overall a/D conversion circuit 102f, and when the sensor is in a quiescent state, the voltage collected by the system is at 1.5V, i.e., around 2048 points. Fig. 5 shows the selected channel 4 for breath judgment, in which the abscissa is time in seconds and the ordinate is the voltage value count of the a/D conversion circuit 102 f. Fig. 6 is a breathing monitoring diagram. If the 2048 line is marked as 1, the 2048 line is marked as 0, the number of breaths in 30 seconds is counted, and the number of breaths per minute is multiplied by 2.
According to a preferred embodiment, taking the data collected by the pressure sensor 102a as an example, in the channel selection process, the squares of the differences between the sampled values of all the channels and 2048 within 5 seconds are calculated, the squares of the differences are sorted, the largest two channels are selected as the currently selected channels, and if the channels are switched, the object is turned over once. As shown in fig. 7, the abscissa is time in seconds, and the ordinate is the voltage value count of the a/D conversion circuit 102 f. The selected channel is in the dashed line frame, and the original 2 channels are switched into completely 2 new channels, which shows that the object turns over once, and the turning over action is really generated compared with the actual situation.
According to a preferred embodiment, taking the data collected by any sensor of the sensing unit 102 as an example, when the signals of all channels are monitored to trend to 2048, i.e., no physiological signal is sensed, the test subject is considered to be out of bed. As shown in fig. 8, the abscissa is time in seconds and the ordinate is the voltage value count of the a/D conversion circuit 102 f. After the voltage curve (time 7 seconds), all signal values trend to 2048, and the subject is considered to be out of bed.
Further, through the mattress provided by the invention, a user can intelligently realize the perception and recording of life activities: detecting basic life activity information elements such as heartbeat, respiration, body movement and the like by adopting a high-sensitivity sensor; and analyzing and calculating by adopting a data model and analyzing and filtering to separate the heartbeat, the respiration and the abnormal body motion events.
Through the mattress, a user can intelligently realize the monitoring and alarming of the crisis value of the life activities: the system can set the heart beat normal value, provide data monitoring function and alarm when the heart beat normal value exceeds the set range; the system can set a normal value of the respiration times, provide a data monitoring function and give an alarm after exceeding a set range; the system can record various analytically measurable sensing states and life activity states, provide a data monitoring function and give an alarm after exceeding a set range.
Through the mattress, a user can intelligently analyze basic life activity events: and (3) determining the normal activity state: such as bed rest; determination of the inactive state: e.g., out-of-bed (in accordance with an out-of-bed preset protocol); determination of specific inactivity status: e.g., loss of life activity (compliance with specific inactivity state data preset scheme); abnormal activity state was determined: abnormal activity states such as sustained cough, rolling, etc. are measured: for example, a falling bed (in accordance with a falling bed data preset scheme); determination of abnormal Activity State: such as frequent bed exits at night, etc.
Through the mattress, a user can intelligently realize alarm of special states of basic life activity events: the server/cloud platform 108 can set thresholds for various measurement states, which will provide notification, warning and alarm functions for various measurement states, such as: leaving the bed to alarm: defining alarm requirements for part of patients who cannot get out of bed, and alarming when the system detects that the patients get out of bed to prevent falling off the bed; the life activity disappears and the alarm is given. Recording of special activities: the system analyzes and processes the data, analyzes and records the possible activity states, such as abnormal heart rate, bed leaving, rolling and the like; recording the night activity: the night life activity event is captured with emphasis, and assistance can be provided for clinical medical analysis.
Through the mattress provided by the invention, a user can intelligently realize the setting and reminding of the trigger time: the system will provide trigger event management functions such as: triggering according to time, triggering according to admission time, triggering according to bed-in time, triggering according to bed-out time, triggering according to respiration or heartbeat number and the like; all trigger events will provide display, warning and alarm, and the portable monitoring terminal will provide service synchronously.
Through the mattress provided by the invention, a user can intelligently realize emergency calling: the bedside body-fitted call button is provided, and emergency call service is provided.
Through the mattress, the related objects can realize intelligent monitoring to users: providing a movable life activity sensing data browsing terminal; different network login and data access modes such as WIFI, 3G and 4G can be provided.
Therefore, through the mattress provided by the invention, a user can intelligently monitor physiological conditions and realize feedback alarm or sleep suggestion feedback based on the monitoring result, so that the user can know the sleep condition and improve the sleep quality. During the data acquisition process of the data acquisition unit 102, all sensors do not acquire data simultaneously, thereby reducing the data processing pressure of the server/cloud platform 108 of the mattress. Meanwhile, each sensor in the data acquisition unit 102 only realizes data acquisition according to the control command of the single chip microcomputer processing unit 103, and the working state is not required to be maintained all the time, so that the service life of each sensor is prolonged, the energy consumption of the mattress is reduced, and unnecessary power consumption is reduced. Therefore, the mattress is not only suitable for places such as hospitals and nursing centers, but also suitable for families, and is wide in application.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.
Claims (10)
1. A mattress, in particular to an auxiliary sleep mattress with an alarm function, comprises a data acquisition unit (102) which sends one or more information of pressure information, humidity information, temperature information and heart sound information as a layer of data to a singlechip processing unit (103),
the single chip microcomputer processing unit (103) is used for classifying and storing the data of one layer received according to different channels, linking the class information serving as the marking information to the sensing data records corresponding to each sensor in the data of one layer and storing the information in the data storage unit (109),
it is characterized in that the preparation method is characterized in that,
the single chip microcomputer processing unit also sends the sensing data records corresponding to the sensors and the mark information linked to the sensing data records corresponding to the sensors in the data-in-one layer to the mobile terminal (107) as data-in-two layer in a wired and/or wireless mode through the data transmission unit (104).
2. The mattress according to claim 1, characterized in that the server/cloud platform (108) of the mattress comprises a data preprocessing module (108a) and a scheme database (108b), wherein the data preprocessing module (108a) is connected with the mobile terminal (107) and the scheme database (108b) and is used for data preprocessing of received two-layer data transmitted by the mobile terminal (107), and the scheme database (108b) is provided with data processing schemes for different groups of people.
3. The mattress according to claim 2, wherein the data preprocessing module (108a) in the server/cloud platform (108) performs preprocessing for classifying the numerical range of the two-layer data including the user pressure information data, the humidity information data, the temperature information data and the heart sound information data transmitted from the mobile terminal (107) based on the data preprocessing scheme stored in the scheme database (108b) and transmits the three-layer data formed after the preprocessing to the integrated data processing module (108 c).
4. The mattress of claim 3, wherein said data preprocessing comprises: the types of the sensing data in the received two-layer data are confirmed, and a data classification scheme stored in a scheme database (108b) is retrieved based on one or more types of sensor data information contained in the two-layer data, so that the numerical range classification of various types of sensing data in the two-layer data is completed.
5. The mattress of claim 4, wherein the server/cloud platform (108) includes an integrated data processing module (108c), the integrated data processing module (108c) performing an analysis of the user's current physiological state, sleep posture and out-of-bed condition based on the received data including the user pressure information data, humidity information data, temperature information data and heart sound data, and enabling a confirmation of the user's physiological safety level, sleep posture and out-of-bed condition based on the analysis results of the user's current physiological state, sleep posture and out-of-bed condition and an integrated processing plan retrieved from the plan database (108 b).
6. The mattress according to one of the claims 2 to 5, characterized in that the integrated data processing module (108c) forms feedback data comprising advice information based on the user physiological safety level, the sleeping posture and the out-of-bed situation, wherein the feedback data comprises result presentation data and/or alarm data and/or command data.
7. The mattress according to claim 6, characterized in that the alarm data comprises data sent to the mobile terminal (107) for alarm by means of a control device and/or a vibration device and data sent to the single-chip microcomputer processing unit (103) located on the mattress for alarm reminding by means of a control alarm unit (105) and a display module (106).
8. The mattress according to claim 6, characterized in that the command data are command information sent to the single-chip processing unit (103) for controlling at least one sensor in the data acquisition unit (102) to perform secondary acquisition of the sensing data.
9. The mattress according to claim 6, characterized in that said secondary acquisition of moisture information data and/or temperature information data and/or heart sound information data of the mattress is performed after re-confirmation of the sleeping posture of the user and the contact position with the mattress by the pressure sensor (102a), so that the moisture, temperature and heart sound sensors are re-acquired based on the new contact area or position of the user with the mattress.
10. The mattress according to one of the preceding claims, wherein the data acquisition unit (102) comprises a pressure sensor (102a) for acquiring pressure data, a humidity sensor (102b) for acquiring humidity data, a temperature sensor (102c) for acquiring temperature data, a heart sound sensor (102D) for acquiring heart sound data, an amplification circuit (102e) for implementing signal amplification processing, and an A/D conversion circuit (102f),
the humidity sensor (102b) is one or more of a resistance type lithium chloride hygrometer, a dew point type lithium chloride hygrometer, a carbon humidity sensitive type hygrometer, an alumina hygrometer and a ceramic humidity sensor,
the pressure sensor (102a) is one or more of a semiconductor piezoresistance sensor, an electrostatic capacitance type pressure sensor, and a diffused silicon pressure transducer,
the heart sound sensor (102d) is one or more of an infrared pulse sensor, a heart rate pulse sensor, a photoelectric pulse sensor, a digital pulse sensor, a heart sound pulse sensor and an integrated pulse sensor.
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| CN110703626A (en) | 2020-01-17 |
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