CN111281364B - Intelligent early warning pillow based on respiration and heart rate, method, electronic device and medium - Google Patents
Intelligent early warning pillow based on respiration and heart rate, method, electronic device and medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000029058 respiratory gaseous exchange Effects 0.000 title claims abstract description 22
- 230000001121 heart beat frequency Effects 0.000 claims abstract description 89
- 238000012544 monitoring process Methods 0.000 claims abstract description 33
- 230000035565 breathing frequency Effects 0.000 claims abstract description 29
- 230000036387 respiratory rate Effects 0.000 claims description 77
- 230000007958 sleep Effects 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 8
- 230000000737 periodic effect Effects 0.000 claims description 8
- 239000010409 thin film Substances 0.000 claims description 8
- 238000010295 mobile communication Methods 0.000 claims description 7
- 230000033764 rhythmic process Effects 0.000 claims description 2
- 230000036391 respiratory frequency Effects 0.000 abstract description 13
- 208000030090 Acute Disease Diseases 0.000 abstract description 12
- 201000010099 disease Diseases 0.000 abstract description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 5
- 239000010408 film Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
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- 206010008118 cerebral infarction Diseases 0.000 description 2
- 208000026106 cerebrovascular disease Diseases 0.000 description 2
- 230000035772 mutation Effects 0.000 description 2
- 230000000284 resting effect Effects 0.000 description 2
- 206010061216 Infarction Diseases 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000747 cardiac effect Effects 0.000 description 1
- 230000007574 infarction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 230000003860 sleep quality Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6892—Mats
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7405—Details of notification to user or communication with user or patient ; user input means using sound
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention provides an intelligent early warning pillow based on respiration and heart rate, a method, an electronic device and a medium. The intelligent early warning pillow comprises a pillow body and a monitoring early warning system, wherein the monitoring early warning system comprises a respiratory frequency sensing device, a heartbeat frequency sensing device and an early warning device. The breathing frequency sensing device and the heartbeat frequency sensing device are arranged in the pillow body, the early warning device monitors the breathing frequency of a human body in real time through the breathing frequency sensing device, monitors the heartbeat frequency of the human body in real time through the heartbeat frequency sensing device, judges the current physical condition of the human body according to the breathing frequency and the heartbeat frequency of the human body, sends out corresponding prompt signals according to the current physical condition of the human body, can timely early warn the acute diseases which can cause obvious changes of the breathing frequency and the heartbeat frequency, gains more time for the treatment of diseases, and is particularly suitable for the old or people who are easy to induce the acute diseases.
Description
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to an intelligent early warning pillow based on breathing and heart rate, a method, an electronic device and a medium.
Background
The respiratory rate and the heartbeat frequency reflect the quality of sleeping to a certain extent, and are relatively uniform and comfortable when the human body is in a deep sleep state. The sleep quality of the human body can be indirectly detected by monitoring the respiratory rate and the heartbeat rate of the human body during sleep. Meanwhile, the mutation of the respiratory frequency and the heartbeat frequency is also a precursor of diseases of human bodies, and when the diseases (such as cerebral infarction and asthma) of the human bodies occur, the mutation of the respiratory frequency and the heartbeat frequency can occur, such as sudden acceleration and the like. The respiratory rate and the heartbeat frequency of the human body during sleep are monitored, so that certain acute diseases of the human body can be found in time, and more time is gained for the treatment of diseases.
However, the prior art mainly focuses on monitoring the respiratory rate and the heartbeat frequency of a human body, generates a corresponding sleep monitoring report based on the respiratory rate and the heartbeat frequency of the human body, does not judge the current physical condition of the human body according to the respiratory rate and the heartbeat frequency of the human body, and cannot realize timely early warning of acute diseases of the human body.
Disclosure of Invention
(one) solving the technical problems
The invention mainly aims to provide an intelligent early warning pillow, a method, an electronic device and a medium based on respiration and heart rate, which are used for solving the problem that the current physical condition of a human body is not judged according to the respiration frequency and the heart rate of the human body in the prior art, and the timely early warning of the acute disease of the human body cannot be realized.
(II) technical scheme
The invention is realized by the following technical scheme:
the utility model provides an intelligent early warning pillow based on breathe and rhythm of heart, includes pillow main part and monitoring early warning system, monitoring early warning system includes respiratory rate sensing device, heartbeat frequency sensing device and early warning device, respiratory rate sensing device with heartbeat frequency sensing device sets up inside the pillow main part, and with early warning device connects, early warning device is configured to:
when a human body is rested on the pillow main body, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and corresponding prompt signals are sent according to the current physical condition of the human body;
the respiratory rate sensing device comprises an elastic air bag and an electronic air valve, wherein the elastic air bag and the electronic air valve are arranged in the pillow main body, the elastic air bag is deflated when being pressed, the elastic air bag is deformed to inhale when being released under pressure, an air outlet of the elastic air bag is communicated with the electronic air valve, the electronic air valve is connected with the early warning device, when a human body is on the pillow main body, the human body breathes to cause periodic pressure change on the elastic air bag to enable the elastic air bag to move in a fluctuating manner, the electronic air valve is used for detecting the inflation and deflation state of the elastic air bag, a first trigger signal is sent to the early warning device when the elastic air bag is inhaled each time, a second trigger signal is sent to the early warning device when the elastic air bag is deflated each time, and the early warning device calculates the respiratory rate of the human body according to the frequency of receiving the first trigger signal or the second trigger signal.
Further, the step of judging the current physical condition of the human body according to the respiratory rate and the heartbeat rate of the human body and sending out a corresponding prompt signal according to the current physical condition of the human body comprises the following steps:
judging whether the respiratory rate of the human body exceeds a preset first numerical range, judging whether the heartbeat rate of the human body exceeds a preset second numerical range, sending out first early warning information when the respiratory rate of the human body exceeds the preset first numerical range, and sending out second early warning information when the heartbeat rate of the human body exceeds the preset second numerical range.
Further, the step of judging the current physical condition of the human body according to the respiratory rate and the heartbeat rate of the human body and sending out a corresponding prompt signal according to the current physical condition of the human body further comprises the steps of:
judging whether the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than a preset first threshold value, judging whether the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than a preset second threshold value, sending out third early warning information when the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than the preset first threshold value, and sending out fourth early warning information when the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than the preset second threshold value.
Further, the early warning device comprises a main control chip, a Bluetooth module, a Wi-Fi module, a mobile communication module, a display screen and a loudspeaker, wherein the Bluetooth module, the Wi-Fi module, the mobile communication module, the display screen and the loudspeaker are respectively connected with the main control chip, and the main control chip is connected with the respiratory rate sensing device and the heartbeat rate sensing device;
the early warning device sends the first early warning information, the second early warning information, the third early warning information and/or the fourth early warning information through any one or more of the Bluetooth module, the Wi-Fi module, the mobile communication module, the display screen and the loudspeaker.
Further, the heartbeat frequency sensing device comprises a film type pressure sensor, the film type pressure sensor is arranged on the upper surface or the lower surface of the air bag, when a human body is rested on the pillow body, the film type pressure sensor is periodically subjected to pressure change caused by human body heartbeat, the film type pressure sensor is connected with the early warning device and used for sending a pressure signal detected in real time to the early warning device, and the early warning device calculates the heartbeat frequency of the human body according to the waveform period of the pressure signal.
Further, the system comprises a cloud server, wherein the cloud server is connected with the early warning device through a wireless network, so that the respiratory rate and the heartbeat frequency data of the human body are received from the early warning device, the sleep monitoring report of the human body is generated according to the respiratory rate and the heartbeat frequency data of the human body, the sleep monitoring report of the human body is archived, and meanwhile, the sleep monitoring report of the human body is sent back to the early warning device to be displayed.
The utility model provides a method of carrying out intelligent early warning according to respiratory rate and heartbeat frequency, is applied to intelligent pillow, intelligent pillow includes pillow main part and monitoring early warning system, monitoring early warning system includes respiratory rate sensing device, heartbeat frequency sensing device and early warning device, respiratory rate sensing device with heartbeat frequency sensing device sets up inside the pillow main part, and with early warning device connects, the method includes:
when a human body is rested on the pillow main body, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and corresponding prompt signals are sent according to the current physical condition of the human body;
the respiratory rate sensing device comprises an elastic air bag and an electronic air valve, wherein the elastic air bag and the electronic air valve are arranged in the pillow main body, the elastic air bag is deflated when being pressed, the elastic air bag is deformed to inhale when being released under pressure, an air outlet of the elastic air bag is communicated with the electronic air valve, the electronic air valve is connected with the early warning device, when a human body is on the pillow main body, the human body breathes to cause periodic pressure change on the elastic air bag to enable the elastic air bag to move in a fluctuating manner, the electronic air valve is used for detecting the inflation and deflation state of the elastic air bag, a first trigger signal is sent to the early warning device when the elastic air bag is inhaled each time, a second trigger signal is sent to the early warning device when the elastic air bag is deflated each time, and the early warning device calculates the respiratory rate of the human body according to the frequency of receiving the first trigger signal or the second trigger signal.
An electronic device comprising a processor, a storage device having stored thereon a computer program which, when executed by the processor, implements a method as described above.
A computer storage medium having stored thereon a computer program executable by a processor, which when executed by the processor, implements a method as described above.
(III) beneficial effects
Compared with the prior art, the intelligent early warning pillow comprises a pillow body and a monitoring early warning system, wherein the monitoring early warning system comprises a respiratory frequency sensing device, a heartbeat frequency sensing device and an early warning device. The breathing frequency sensing device and the heartbeat frequency sensing device are arranged in the pillow body, the early warning device monitors the breathing frequency of a human body in real time through the breathing frequency sensing device, monitors the heartbeat frequency of the human body in real time through the heartbeat frequency sensing device, judges the current physical condition of the human body according to the breathing frequency and the heartbeat frequency of the human body, sends out corresponding prompt signals according to the current physical condition of the human body, can timely early warn the acute diseases which can cause obvious changes of the breathing frequency and the heartbeat frequency, gains more time for the treatment of diseases, and is particularly suitable for the old or people who are easy to induce the acute diseases.
Drawings
Fig. 1 is a schematic diagram of an early warning principle of an intelligent early warning pillow based on respiration and heart rate according to an embodiment of the invention;
fig. 2 is a schematic diagram of the composition structure of an intelligent early warning pillow based on respiration and heart rate according to an embodiment of the present invention;
fig. 3 is a schematic diagram of the composition principle of the early warning device in the intelligent early warning pillow based on respiration and heart rate provided by the embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples and the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent.
Referring to fig. 1 to 3, the intelligent early-warning pillow based on respiration and heart rate provided by the embodiment of the invention comprises a pillow main body 6 and a monitoring early-warning system, wherein the monitoring early-warning system comprises a respiration frequency sensing device 1, a heart beat frequency sensing device 2 and an early-warning device 3, and the respiration frequency sensing device 1 and the heart beat frequency sensing device 2 are arranged in the pillow main body 6 and are connected with the early-warning device 3. The early warning device 3 may be provided inside or on the surface of the pillow body 6, or may be provided outside the pillow body 6 in an external connection manner. The early warning device 3 can be connected with the respiratory rate sensing device 1 and the heartbeat rate sensing device 2 through transmission lines. The early warning device 3 is configured to:
when a human body is rested on the pillow main body 6, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device 1, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device 2, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and a corresponding prompt signal is sent according to the current physical condition of the human body. A switch can be arranged on the early warning device 3, and when a user sleeps on the pillow body 6, the early warning device 3 is started to work by opening the switch.
In the embodiment of the present invention, the determining the current physical condition of the human body according to the respiratory rate and the heartbeat rate of the human body, and sending a corresponding prompting signal according to the current physical condition of the human body may include:
judging whether the respiratory rate of the human body exceeds a preset first numerical range, judging whether the heartbeat rate of the human body exceeds a preset second numerical range, sending out first early warning information when the respiratory rate of the human body exceeds the preset first numerical range, and sending out second early warning information when the heartbeat rate of the human body exceeds the preset second numerical range. When a human body is in a healthy state, a relatively normal respiratory frequency range and a relatively normal heartbeat frequency range exist during sleep, when the human body is ill, the respiratory frequency and/or the heartbeat frequency of the human body can be changed, and when the human body is ill with certain acute diseases (such as asthma, cerebral infarction, cardiac infarction and the like), the respiratory frequency and/or the heartbeat frequency of the human body can be changed severely, and the respiratory frequency and/or the heartbeat frequency of the human body almost certainly exceed the normal range, so that the timely early warning can be realized for the acute diseases by monitoring whether the respiratory frequency and the heartbeat frequency of the human body during sleep exceed the preset range or not.
The method for judging the current physical condition of the human body according to the respiratory rate and the heartbeat rate of the human body and sending out corresponding prompt signals according to the current physical condition of the human body can further comprise the following steps:
judging whether the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than a preset first threshold value, judging whether the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than a preset second threshold value, sending out third early warning information when the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than the preset first threshold value, and sending out fourth early warning information when the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than the preset second threshold value. When the human body generates the acute disease, the respiratory rate and/or the heartbeat frequency of the human body are generally not only beyond the normal range, but also are generally shown to be suddenly changed (namely, the respiratory rate and/or the heartbeat frequency of the human body are suddenly changed in a short time), and whether the respiratory rate and/or the heartbeat frequency of the human body are suddenly changed or not can be judged by monitoring whether the difference between the respiratory rate and/or the heartbeat frequency of the human body at the current moment and the respiratory rate and/or the heartbeat frequency at the last moment is larger than a corresponding threshold value or not, so that the early warning of the acute disease is realized from another angle.
The two modes are combined, so that the early warning of the acute diseases can be accurately realized. Among the four types of warning information, the following are included: when the respiratory rate of the human body is lower than the first numerical range, the first early warning information can comprise early warning information related to the respiratory rate being too low; when the respiratory rate of the human body is higher than the first numerical range, the first early warning information can comprise early warning information related to the respiratory rate being too high; when the heart beat frequency of the human body is lower than the second numerical range, the second early warning information can comprise early warning information related to the heart beat frequency being too low; when the heart beat frequency of the human body is higher than the second numerical range, the second early warning information can comprise early warning information related to the heart beat frequency; when the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than a preset first threshold value, and the respiratory rate of the human body at the current moment is lower than the respiratory rate of the human body at the last moment, the third early warning information can comprise early warning information related to respiratory rate dip; when the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than a preset first threshold value, and the respiratory rate of the human body at the current moment is higher than the respiratory rate of the human body at the last moment, the third early warning information can comprise early warning information related to sudden rise of the respiratory rate; when the difference between the heartbeat frequency of the human body at the current moment and the heartbeat frequency of the human body at the last moment is larger than a preset second threshold value, and the heartbeat frequency of the human body at the current moment is lower than the heartbeat frequency of the human body at the last moment, the fourth early warning information can comprise early warning information related to the sudden drop of the heartbeat frequency; when the difference between the heartbeat frequency of the human body at the current time and the heartbeat frequency of the human body at the last time is greater than a preset second threshold value, and the heartbeat frequency of the human body at the current time is higher than the heartbeat frequency of the human body at the last time, the fourth early warning information can comprise early warning information related to sudden rise of the heartbeat frequency.
In the embodiment of the invention, the early warning device 3 comprises a main control chip 10, and a Bluetooth module 11, a Wi-Fi module 12, a mobile communication module 13, a display screen 8 and a loudspeaker 9 which are respectively connected with the main control chip 10, wherein the main control chip 10 is connected with the respiratory rate sensing device 1 and the heartbeat rate sensing device 2. The respiratory frequency and heartbeat frequency data of the human body are calculated, analyzed and judged through the main control chip 10. The sleep monitoring program App can be installed in the main control chip 10, a first numerical range, a second numerical range, a first threshold and a second threshold which are suitable for different age groups are preset in the main control chip 10, a human-computer interface of the App is displayed through the display screen 8, the display screen 8 is a touch display screen, when a user uses the intelligent pillow, the age group of the user is selected through the display screen 8, then the main control chip 10 loads the first numerical range, the second numerical range, the first threshold and the second threshold which correspond to the age group of the user, and based on the first numerical range, the second numerical range, the first threshold and the second threshold which correspond to the age group of the user, the respiratory frequency and the heartbeat frequency of a human body are analyzed and judged through the main control chip 10, so that the main control chip 10 can conduct targeted analysis and judgment on the respiratory frequency and the heartbeat frequency of people in different age groups. Of course, instead of presetting the first numerical range, the second numerical range, the first threshold value and the second threshold value suitable for different age groups in the main control chip 10, the first numerical range, the second numerical range, the first threshold value and the second threshold value may be manually input through the display screen 8 when the user uses the intelligent pillow. The user can input a first numerical range, a second numerical range, a first threshold and a second threshold which are suitable for the user according to the actual physical examination condition of the user, so that the main control chip 10 can conduct targeted analysis and judgment on the respiratory rate and the heartbeat rate of each individual.
The early warning device 3 sends the first early warning information, the second early warning information, the third early warning information and/or the fourth early warning information through any one or more of the Bluetooth module 11, the Wi-Fi module 12, the mobile communication module 13, the display screen 8 and the loudspeaker 9.
In this embodiment, the respiratory rate sensing device 1 may include an elastic air bag 5 and an electronic air valve 7, where the elastic air bag 5 and the electronic air valve 7 are disposed in the pillow body 6, the elastic air bag 5 is deflated when being compressed, and recovers to deform to inhale when being released, an air outlet of the elastic air bag 5 is communicated with the electronic air valve 7, and the electronic air valve 7 is connected with the early warning device 3, when a human body is resting on the pillow body 6, the human body breathes to cause periodic pressure variation on the elastic air bag 5 so as to make the elastic air bag 5 move up and down. The essence of the fluctuation of the elastic air bag 5 is that the elastic air bag 5 is inflated and deflated, the fluctuation of the elastic air bag 5 is caused once by inflation and deflation of the elastic air bag 5, and the fluctuation of the elastic air bag 5 indicates that the human body breathes once, so that the breathing frequency can be monitored by monitoring the inflation/deflation frequency of the elastic air bag 5. Based on this, an electronic air valve 7 is provided to monitor the inflation and deflation of the elastic air bag 5, that is, the inflation and deflation state of the elastic air bag 5 is detected by the electronic air valve 7, a first trigger signal is sent to the early warning device 3 each time the air suction of the elastic air bag 5 is detected, a second trigger signal is sent to the early warning device 3 each time the air discharge of the elastic air bag 5 is detected, and then the early warning device 3 calculates the respiratory rate of the human body according to the frequency of receiving the first trigger signal or the second trigger signal.
In this embodiment, the heartbeat frequency sensing device 2 may include a thin film pressure sensor, which is disposed on the upper surface or the lower surface of the air bag 5, and when a human body is resting on the pillow body 6, the heartbeat of the human body causes periodic pressure variation to the thin film pressure sensor, so that the heartbeat frequency of the human body can be detected by monitoring the periodic variation of the pressure applied to the thin film pressure sensor. Based on the above, the thin film pressure sensor is connected with the early warning device 3, the thin film pressure sensor sends the pressure signal detected in real time to the early warning device 3, and the early warning device 3 calculates the heartbeat frequency of the human body according to the waveform period of the pressure signal.
The cloud server 4 can be further arranged, the cloud server 4 is connected with the early warning device 3 through a wireless network, so that the respiratory rate and the heartbeat frequency data of the human body are received from the early warning device 3, the sleep monitoring report of the human body is generated according to the respiratory rate and the heartbeat frequency data of the human body, the sleep monitoring report of the human body is archived, and meanwhile, the sleep monitoring report of the human body is sent back to the early warning device 3 to be displayed, the sleep monitoring result of the user is displayed, and reasonable sleep advice is provided.
Based on the intelligent pillow, the invention also provides a method for intelligent early warning according to the respiratory frequency and the heartbeat frequency, and the method is applied to the intelligent pillow. The intelligent pillow comprises a pillow body 6 and a monitoring and early warning system, wherein the monitoring and early warning system comprises a respiratory rate sensing device 1, a heartbeat rate sensing device 2 and an early warning device 3, and the respiratory rate sensing device 1 and the heartbeat rate sensing device 2 are arranged in the pillow body 6 and connected with the early warning device 3. The method comprises the following steps:
when a human body is rested on the pillow main body 6, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device 1, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device 2, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and a corresponding prompt signal is sent according to the current physical condition of the human body.
Based on the above method, the invention also provides an electronic device, which comprises a processor and a storage device, wherein the storage device stores a computer program, and the computer program realizes the method when being executed by the processor.
Based on the above method, the present invention also provides a computer storage medium having stored thereon a computer program executable by a processor, which when executed by the processor, implements the method as described above.
The above embodiments are only preferred embodiments and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (9)
1. The utility model provides an intelligent early warning pillow based on breathe and rhythm of heart, includes pillow main part and monitoring early warning system, its characterized in that, monitoring early warning system includes respiratory rate sensing device, heartbeat frequency sensing device and early warning device, respiratory rate sensing device with heartbeat frequency sensing device sets up inside the pillow main part, and with early warning device connects, early warning device is configured to:
when a human body is rested on the pillow main body, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and corresponding prompt signals are sent according to the current physical condition of the human body;
the respiratory rate sensing device comprises an elastic air bag and an electronic air valve, wherein the elastic air bag and the electronic air valve are arranged in the pillow main body, the elastic air bag is deflated when being pressed, the elastic air bag is deformed to inhale when being released under pressure, an air outlet of the elastic air bag is communicated with the electronic air valve, the electronic air valve is connected with the early warning device, when a human body is on the pillow main body, the human body breathes to cause periodic pressure change on the elastic air bag to enable the elastic air bag to move in a fluctuating manner, the electronic air valve is used for detecting the inflation and deflation state of the elastic air bag, a first trigger signal is sent to the early warning device when the elastic air bag is inhaled each time, a second trigger signal is sent to the early warning device when the elastic air bag is deflated each time, and the early warning device calculates the respiratory rate of the human body according to the frequency of receiving the first trigger signal or the second trigger signal.
2. The intelligent early warning pillow based on respiration and heart rate according to claim 1, wherein the method for judging the current physical condition of the human body according to the respiration frequency and the heart rate of the human body and sending out the corresponding prompt signal according to the current physical condition of the human body comprises the following steps:
judging whether the respiratory rate of the human body exceeds a preset first numerical range, judging whether the heartbeat rate of the human body exceeds a preset second numerical range, sending out first early warning information when the respiratory rate of the human body exceeds the preset first numerical range, and sending out second early warning information when the heartbeat rate of the human body exceeds the preset second numerical range.
3. The intelligent early warning pillow based on respiration and heart rate according to claim 2, wherein the method comprises the steps of judging the current physical condition of the human body according to the respiration frequency and the heart rate of the human body, and sending out a corresponding prompt signal according to the current physical condition of the human body, and further comprising:
judging whether the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than a preset first threshold value, judging whether the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than a preset second threshold value, sending out third early warning information when the difference between the respiratory rate of the human body at the current moment and the respiratory rate of the human body at the last moment is larger than the preset first threshold value, and sending out fourth early warning information when the difference between the heartbeat rate of the human body at the current moment and the heartbeat rate of the human body at the last moment is larger than the preset second threshold value.
4. The intelligent early warning pillow based on respiration and heart rate as claimed in claim 3, wherein the early warning device comprises a main control chip and a bluetooth module, a Wi-Fi module, a mobile communication module, a display screen and a loudspeaker which are respectively connected with the main control chip, wherein the main control chip is connected with the respiration frequency sensing device and the heartbeat frequency sensing device;
the early warning device sends the first early warning information, the second early warning information, the third early warning information and/or the fourth early warning information through any one or more of the Bluetooth module, the Wi-Fi module, the mobile communication module, the display screen and the loudspeaker.
5. The intelligent early warning pillow based on respiration and heart rate as claimed in claim 1, wherein the heart rate sensing means comprises a thin film type pressure sensor provided on an upper surface or a lower surface of the air bag, and when a human body is rested on the pillow body, the heart rate of the human body causes periodic pressure variation to the thin film type pressure sensor, and the thin film type pressure sensor is connected with the early warning means for transmitting a pressure signal detected in real time to the early warning means, and the early warning means calculates the heart rate of the human body according to a waveform period of the pressure signal.
6. The intelligent early warning pillow based on respiration and heart rate as claimed in claim 1, further comprising a cloud server connected with the early warning device through a wireless network to receive the respiration frequency and the heart beat frequency data of the human body from the early warning device, generate a sleep monitoring report of the human body according to the respiration frequency and the heart beat frequency data of the human body, archive the sleep monitoring report of the human body, and send the sleep monitoring report of the human body back to the early warning device for display.
7. The utility model provides a method of carrying out intelligent early warning according to respiratory rate and heartbeat frequency, is applied to intelligent pillow, intelligent pillow includes pillow main part and monitoring early warning system, its characterized in that, monitoring early warning system includes respiratory rate sensing device, heartbeat frequency sensing device and early warning device, respiratory rate sensing device with heartbeat frequency sensing device sets up inside the pillow main part, and with early warning device connects, the method includes:
when a human body is rested on the pillow main body, the breathing frequency of the human body is monitored in real time through the breathing frequency sensing device, the heartbeat frequency of the human body is monitored in real time through the heartbeat frequency sensing device, the current physical condition of the human body is judged according to the breathing frequency and the heartbeat frequency of the human body, and corresponding prompt signals are sent according to the current physical condition of the human body;
the respiratory rate sensing device comprises an elastic air bag and an electronic air valve, wherein the elastic air bag and the electronic air valve are arranged in the pillow main body, the elastic air bag is deflated when being pressed, the elastic air bag is deformed to inhale when being released under pressure, an air outlet of the elastic air bag is communicated with the electronic air valve, the electronic air valve is connected with the early warning device, when a human body is on the pillow main body, the human body breathes to cause periodic pressure change on the elastic air bag to enable the elastic air bag to move in a fluctuating manner, the electronic air valve is used for detecting the inflation and deflation state of the elastic air bag, a first trigger signal is sent to the early warning device when the elastic air bag is inhaled each time, a second trigger signal is sent to the early warning device when the elastic air bag is deflated each time, and the early warning device calculates the respiratory rate of the human body according to the frequency of receiving the first trigger signal or the second trigger signal.
8. An electronic device comprising a processor, a storage device having stored thereon a computer program which, when executed by the processor, implements the method of claim 7.
9. A computer storage medium having stored thereon a computer program executable by a processor, wherein the computer program, when executed by the processor, implements the method of claim 7.
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| CN112120670B (en) * | 2020-09-22 | 2021-09-03 | 中食安泓(广东)健康产业有限公司 | Sleep quality monitoring system based on big data |
| CN112545851A (en) * | 2020-11-03 | 2021-03-26 | 未来穿戴技术有限公司 | Massage method and device, electronic device and computer readable storage medium |
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