CN115089128A - Sleep respiration check system and method - Google Patents
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Abstract
The invention provides a sleep respiration checking system and a method, which relate to the technical field of human body state detection, wherein the system comprises a data acquisition device, a lower computer and a cloud server; the data acquisition device acquires body state data of a target object and sends the body state data to the lower computer, wherein the body state data comprises heart rate, breathing signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves; the lower computer preprocesses the body state data and sends the obtained processed body state data to the cloud server; and the cloud server generates a sleep respiration analysis report of the target object according to the received processed body state data. According to the mode, the diagnosis of OSA and the sleep breathing screening are realized through the data acquired by the data acquisition device, meanwhile, the mode can conveniently detect the sleep breathing state of a human body, the measurement load is reduced, and the method is suitable for environments such as hospitals, old people nursing and families.
Description
Technical Field
The invention relates to the technical field of human body state detection, in particular to a sleep respiration checking system and a sleep respiration checking method.
Background
At present, patients with Obstructive Sleep Apnea (OSA for short) are a huge population, and early intervention needs to be discovered. The measurement means in the related art, which is usually localized measurement, needs to be monitored and then data is copied and analyzed by using an SD (Secure Digital Memory Card), and the measurement load is heavy.
Disclosure of Invention
The invention aims to provide a sleep respiration checking system and a sleep respiration checking method, which are used for conveniently detecting the sleep respiration state of a human body and reducing the measurement load.
In a first aspect, the invention provides a sleep respiration inspection system, which comprises a data acquisition device, a lower computer and a cloud server which are connected in sequence; the data acquisition device is used for acquiring the body state data of the target object and sending the body state data to the lower computer; wherein the body state data comprises heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves; the lower computer is used for preprocessing the body state data to obtain processed body state data and sending the processed body state data to the cloud server; the cloud server is used for generating a sleep respiration analysis report of the target object according to the received processed body state data.
In an optional embodiment, the data acquisition device includes a pressure sensing module, an airflow variation acquisition module and a blood oxygen module; the pressure sensing module is used for acquiring a heart rate signal, a breathing signal, a body movement signal and a sleeping posture signal of a target object; the airflow change acquisition module is used for acquiring respiratory airflow change data of two nostrils and the mouth of the target object; the blood oxygen module is used for acquiring the blood oxygen saturation, the pulse wave and the pulse rate of the target object.
In an optional embodiment, the data acquisition device further comprises one or more of an electrocardiogram plaster, an electrocardiogram chip, a temperature and humidity sensor and a body temperature sensor; the electrocardio patch and the electrocardio chip are both used for acquiring electrocardio data of a target object; the temperature and humidity sensor is used for acquiring the ambient temperature and the ambient humidity; the body temperature sensor is used for acquiring the body temperature of a target object.
In an optional embodiment, the lower computer includes a data processing module, a data storage module, a communication module and a display module; the data processing module is used for carrying out analog-to-digital conversion processing on data in an analog signal format in the machine body state data to obtain a converted digital signal; the converted digital signal and the data in the digital signal format in the machine body state data are combined into processed machine body state data, and the processed machine body state data are sent to the data storage module, the communication module and the display module; the data storage module is used for storing the processed body state data; the communication module is used for sending the processed body state data to the cloud server; the display module is used for displaying the processed body state data and/or indicating the state of the system based on a preset display screen and/or a preset display lamp.
In an optional embodiment, the cloud server includes a cloud data center, a cloud processing module and a result display and output module, which are in communication connection; the cloud data center is used for receiving the processed body state data transmitted by the lower computer, storing the processed body state data and sending the processed body state data to the cloud processing module and the result display and output module; the cloud processing module is used for analyzing and processing the processed body state data to obtain a sleep respiration analysis report of the target object and sending the sleep respiration analysis report to the result display and output module; the result display and output module is used for displaying the processed body state data and the sleep respiration analysis report and outputting the sleep respiration analysis report; the cloud processing module is further used for analyzing the processed body state data in real time to obtain abnormal data, and outputting an alarm signal to external equipment according to the abnormal data.
In an optional embodiment, the cloud data center is further configured to sense a working state of the lower computer in real time, and send a parameter configuration instruction and a state control instruction to the lower computer; the result display and output module is also used for receiving an adjustment instruction aiming at the sleep respiration analysis report, and modifying the sleep respiration analysis report according to the adjustment instruction to obtain a final sleep respiration analysis report.
In an optional embodiment, the system further comprises a mobile terminal connected with the lower computer and the cloud server; the mobile terminal is used for configuring parameters of the lower computer, receiving the processed body state data sent by the lower computer, receiving the sleep breath analysis report sent by the cloud server, receiving the processed body state data sent by the cloud server, and receiving the body abnormal data and the alarm signal sent by the cloud server.
In a second aspect, the present invention provides a sleep apnea detecting method, which is applied to the sleep apnea detecting system described in the foregoing embodiment; the method comprises the following steps: acquiring body state data of a target object through a data acquisition device, and sending the body state data to a lower computer; wherein the body state data comprises heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves; preprocessing the body state data through a lower computer to obtain processed body state data, and sending the processed body state data to a cloud server; and generating a sleep respiration analysis report of the target object according to the received processed body state data through the cloud server.
In a third aspect, the present invention provides an electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor to execute the machine executable instructions to operate a sleep apnea detection system as described in any one of the preceding embodiments.
In a fourth aspect, the present invention provides a machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to execute a sleep apnea detection system as described in any one of the preceding embodiments.
The embodiment of the invention has the following beneficial effects:
the invention provides a sleep respiration checking system and a method thereof, wherein the system comprises a data acquisition device, a lower computer and a cloud server; the data acquisition device acquires body state data of a target object and transmits the body state data to the lower computer, wherein the body state data comprises heart rate, breathing signals, body movement signals, sleeping posture signals, breathing airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves; the lower computer preprocesses the body state data to obtain processed body state data, and sends the processed body state data to the cloud server; and the cloud server generates a sleep respiration analysis report of the target object according to the received processed body state data. The mode realizes diagnosis of OSA and sleep breathing screening by detecting parameters such as oronasal airflow, blood oxygen, respiration, cardiac shock waves and pulse waves, and meanwhile, the mode can conveniently detect the sleep respiration state of a human body, reduces the measurement load, and is suitable for environments such as hospitals, old people care and families.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a sleep apnea detection system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a driving circuit according to an embodiment of the present invention;
fig. 3 is a side view of a detailed structural schematic diagram of a pressure sensing module according to an embodiment of the present invention;
fig. 4 is a top view of a detailed structural schematic diagram of a pressure sensing module according to an embodiment of the present invention;
FIG. 5 is a side view of a detailed schematic structural diagram of an improved pressure sensing module provided in accordance with an embodiment of the present invention;
FIG. 6 is a top view of a detailed schematic diagram of an improved pressure sensing module provided in accordance with an embodiment of the present invention;
fig. 7 is a side view of a detailed structural schematic diagram of a long sensor provided by an embodiment of the invention;
fig. 8 is a top view of a detailed structural schematic diagram of a long ruler sensor according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of a one-time package of a sensor in the form of a ruler provided in an embodiment of the present invention;
FIG. 10 is a schematic diagram of a secondary package of a sensor of the ruler type according to an embodiment of the present invention;
FIG. 11 is a schematic diagram illustrating a pressure sensing module according to an embodiment of the present invention;
FIG. 12 is a schematic diagram of another use of a pressure sensing module provided by an embodiment of the invention;
fig. 13 is a schematic circuit diagram of an airflow variation collecting module according to an embodiment of the present invention;
FIG. 14 is a schematic diagram of another sleep apnea detection system according to an embodiment of the present invention;
FIG. 15 is a flowchart of a sleep apnea detection method according to an embodiment of the present invention;
fig. 16 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
An icon: 10-a data acquisition device; 11-a lower machine; 12-a cloud server; 13-a pressure sensing module; 100-a piezoelectric sensor; 101-a flexible fixation device; 102-a drive circuit; 103-a cable; 104-a cushion; 105-a protective sheet; 106-pressure ruler; 107-encapsulation film; 108-a mattress; 109-a main control box; 110-a data processing module; 111-a data storage module; 112-a communication module; 113-a display module; 120-cloud data center; 121-cloud processing module; 122-result display and output module; 20-mobile terminal.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Based on the technical problems related in the background art, the embodiment of the invention provides a sleep respiration examination system and a sleep respiration examination method, which can be applied to human sleep respiration examination scenes in various environments such as hospitals, old people, health service institutions, families and the like, can store and process a large amount of data, are convenient to use and can be popularized in a large range.
In order to facilitate understanding of the embodiment of the present invention, a sleep apnea detection system provided in the embodiment of the present invention is first described in detail, and as shown in fig. 1, the system includes a data acquisition device 10, a lower computer 11, and a cloud server 12, which are connected in sequence.
The data acquisition device 10 is used for acquiring body state data of a target object and sending the body state data to the lower computer 11; wherein the body state data at least comprises: heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves. The target object is a person, which is usually measured, and the person may be an elderly person, a young person, a middle aged person, or a young child.
The lower computer 11 is configured to preprocess the body state data to obtain processed body state data, and send the processed body state data to the cloud server 12. In specific implementation, the lower computer 11 may convert an analog signal in the body state data into a digital signal, and may also convert the digital signal into an analog signal, so as to facilitate viewing and subsequent processing by a user.
The cloud server 12 is configured to generate a sleep respiration analysis report of the target object according to the received processed body state data. The sleep respiration analysis report at least comprises the contents of the time of getting on bed, the time of getting off bed, the sleep time, the time and times of apnea, the time and times of hypopnea, the AHI index, the apnea classification, the blood oxygen saturation change, the heart rate change and the like of the target object.
In practical application, the data acquisition device 10 includes a pressure sensing module 13, an airflow variation acquisition module and a blood oxygen module; the pressure sensing module 13 is used for acquiring the heart rate, Ballistocardiogram (BCG for short), chest and abdomen movement, respiratory signals, body movement signals, sleeping posture signals and the like of the target object; the airflow change acquisition module is used for acquiring respiratory airflow change data of two nostrils and the mouth of the target object and the like; the blood oxygen module is used for collecting the blood oxygen saturation, the pulse wave, the pulse rate and the like of the target object.
Specifically, the pressure sensing module 13 is composed of a piezoelectric sensor 100, a flexible fixture 101, a driving circuit 102, and a cable 103. The piezoelectric sensor 100 is a piezoelectric ceramic sheet element, and the flexible fixing device 101 is used for fixing the piezoelectric sensor 100 and the driving circuit 102. As shown in fig. 2, the driving circuit 102 is provided with a resistor, a field effect transistor and a capacitor, which are used for signal amplification and used as a first-stage amplifier for amplifying signals collected by the piezoelectric ceramics; the shape of the driving circuit 102 is not limited, and may be square or irregular. A side view of a detailed structural schematic diagram of the pressure sensing module is shown in fig. 3, and a top view of the detailed structural schematic diagram of the pressure sensing module is shown in fig. 4. In a specific implementation, a piezoresistive film may also be added to the pressure sensing module 13 to measure the change of the pressure value.
In some embodiments, the retrofit pressure sensing module includes a piezoelectric sensor 100, a cushion pad 104, a protective sheet 105, a drive circuit 102, a flexible fixture 101, a cable 103, and the like. The piezoelectric sensor 100 is a piezoelectric ceramic sheet element, and a cushion pad 104 made of solid material is arranged above the piezoelectric sensor 100, and a protection sheet 105 made of rigid thin material is arranged below the piezoelectric sensor 100. The piezoelectric sensor 100 is connected to a drive circuit 102 by a cable 103. The cushion pad 104, the piezoelectric sensor 100, the protective sheet 105, the drive circuit 102, and the like can be fixed by the flexible fixing devices 101 on the upper and lower layers, and output through the cable 103. This may improve stability and impact resistance of the pressure sensing module. Through the processing, the measuring range of the piezoelectric sensor 100 can be improved, the piezoelectric sensor 100 can be protected, and the service life of the sensor is prolonged. Fig. 5 is a side view of a detailed structural diagram of the improved pressure sensing module, and fig. 6 is a top view of the detailed structural diagram of the improved pressure sensing module.
In order to maximize the measurable area, a rectangular pressure ruler 106 can be added above the pressure sensing module, and the pressure ruler 106 can be made of elastic materials such as a steel ruler, an iron ruler, an ABS (Acrylonitrile Butadiene Styrene) material, an alloy material and the like. The greatest advantage of this structure is that the vibration generated by the interaction of the pressure gauge and the cushion 104 is applied to the piezoelectric sensor 100 to output a corresponding analog signal, and the design increases the range of measuring the vibration. Through the cable, the sensor output is the analog signal of the piezoelectric sensor. Specifically, the pressure sensing module with the rectangular pressure gauge on the top can be simply called as a long-scale sensor, the side view of the specific structural schematic diagram of the long-scale sensor is shown in fig. 7, and the top view of the specific structural schematic diagram of the long-scale sensor is shown in fig. 8.
In specific implementation, the ruler-shaped sensor can be directly used, or can be used after being packaged once by adopting real leather, PU (polyurethane) leather, latex films, rubber films, plastic films and the like, or can be used after being packaged into a mattress or a pillow made of natural latex, cotton, chemical fiber products, palm and the like for the second time. The schematic diagram of the primary packaging of the ruler-shaped sensor is shown in fig. 9, the upper diagram in fig. 9 is a top view, the lower diagram in fig. 9 is a side view, and the ruler-shaped sensor is packaged by using a packaging film 107 made of a soft thin film material, such as leather, PU skin, latex film, rubber film or plastic film, and the like, to form the ruler-shaped sensor after the primary packaging.
Fig. 10 is a schematic diagram showing secondary packaging of the ruler-shaped sensor, and fig. 10 further includes a main control box 109 for controlling the ruler-shaped sensor through the cable 103. The secondary packaging is to place the ruler-shaped sensor in a mattress 108 or pillow made of various materials including natural latex, cotton, chemical fiber products or palm and the like.
When using the pressure sensing module 13, the pressure sensing module 13 may be placed under the torso of a target object (e.g., a human body), as shown in fig. 11, which is a schematic diagram of the use of the pressure sensing module. The pressure sensing module 13 can also be located under the head of the target object or under the pillow, as shown in fig. 12, which is another schematic usage diagram of the pressure sensing module.
In practical application, the airflow change acquisition module consists of a power supply, a fixed resistance resistor, a thermistor and an amplifying circuit. The airflow change acquisition module can acquire tiny temperature changes of the nostrils and the oral airflow, so that the variation trend of the oral airflow and the nasal airflow can be obtained, and a sampling circuit is shown in fig. 13.
In some embodiments, the airflow variation collecting module may also use a digital temperature sensor, for example, the temperature sensor DS1820 collects the temperature variation of the oronasal airflow, so as to obtain the variation of the oronasal airflow.
In specific implementation, the blood oxygen saturation, pulse wave, pulse rate and other indexes of the target object can be measured through the blood oxygen module, and the original data of the indexes obtained by the measurement of the blood oxygen module can be transmitted to the lower computer 11. The blood oxygen module can be connected with the lower computer 11 by a cable or bluetooth, so that the blood oxygen module transmits the original data to the lower computer 11 by the cable or bluetooth.
In some embodiments, the data collecting device 10 further includes one or more of an electrocardiogram strip, an electrocardiogram chip, a temperature and humidity sensor, and a body temperature sensor; the electrocardio patch and the electrocardio chip are both used for acquiring electrocardio data of a target object; the temperature and humidity sensor is used for acquiring the ambient temperature and the ambient humidity; the body temperature sensor is used for acquiring the body temperature of a target object. The electrocardiograph patch, the electrocardiograph chip, the temperature and humidity sensor, and the body temperature sensor may all transmit the acquired raw data as body state data to the lower computer 11 through an a/D (Analog/Digital) or Digital interface.
The sleep respiration inspection system comprises a data acquisition device, a lower computer and a cloud server; the data acquisition device acquires body state data of a target object and transmits the body state data to the lower computer, wherein the body state data comprises heart rate, breathing signals, body movement signals, sleeping posture signals, breathing airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves; the lower computer preprocesses the body state data to obtain processed body state data, and sends the processed body state data to the cloud server; and the cloud server generates a sleep respiration analysis report of the target object according to the received processed body state data. The mode realizes diagnosis of OSA and sleep breathing screening by detecting parameters such as mouth and nose airflow, blood oxygen, respiration, cardiac shock waves and pulse waves, and meanwhile, the mode can conveniently detect the sleep breathing state of a human body, reduces the measurement load, and is suitable for environments such as hospitals, old people, families and the like.
The invention further provides another sleep respiration examination system, which is implemented on the basis of the above embodiment, and as shown in fig. 14, the system includes a data acquisition device 10, a lower computer 11 and a cloud server 12, which are connected in sequence.
Specifically, the lower computer 11 includes a data processing module 110, a data storage module 111, a communication module 112, and a display module 113; the data processing module 110 is connected to the data acquisition device 10, the data storage module 111, the communication module 112 and the display module 113, and the communication module 112 is further connected to the cloud server 12.
The data processing module 110 is configured to perform analog-to-digital conversion on data in an analog signal format in the body state data to obtain a converted digital signal; the converted digital signal and the data in the digital signal format in the body state data are combined into processed body state data, and the processed body state data are sent to the data storage module 111, the communication module 112 and the display module 113; the data storage module 111 is used for storing the processed body state data; the communication module 112 is configured to send the processed body state data to the cloud server 12; the display module 113 is configured to display the processed body state data and/or the state of the indication system based on a preset display screen and/or a preset display lamp. Specifically, the heart rate, the respiration signal, the body movement signal, the sleeping posture signal, the respiratory airflow variation data of the two nostrils and the mouth in the body state data are data in an analog signal format, and the blood oxygen saturation and the pulse wave are data in a digital signal format.
The lower computer 11 mainly performs functions of analog signal filtering, analog-to-digital conversion, data storage, data transmission, communication protocol, status indication, communication and the like. The data processing module 110 processes analog signals output by the piezoelectric sensor, the thermistor, the blood oxygen module, the body temperature sensor and the like and digital signals output by other sensors; the data processing module 110 is a core control part of the present invention to schedule the normal operation of each part. The data storage module 111 includes a large-capacity FLASH (Memory chip) or SD (Secure Digital Memory) card, and respectively stores data and parameters; the communication module 112 communicates with the lower computer 11 through a plurality of wireless protocols. The display module 113 indicates the system status through different color LED (Light Emitting Diode) lamps or liquid crystal display screens, where the LED lamps are also display lamps.
In a specific implementation, the hardware kernel of the lower computer 11 may support an online upgrade function, and may download an upgrade program to the kernel through a server or a mobile terminal (e.g., a mobile phone, a tablet computer, etc.), so as to improve performance and stability of the system through automatic upgrade.
The communication module 112 is responsible for communicating with a cloud data center in the cloud server 12, and also can communicate with a mobile terminal, and the mobile terminal configures related parameters of the lower computer 11 or checks real-time data information. The communication module 112 is connected to the cloud server 12 through WIFI (Wireless Fidelity), bluetooth, network cable, 2G (2-Generation Wireless telephone technology, second Generation mobile communication technology), 3G (3-Generation Wireless telephone technology, third Generation mobile communication technology), 4G (4-Generation Wireless telephone technology, fourth Generation mobile communication technology) or 5G (5-Generation Wireless telephone technology, fifth Generation mobile communication technology), that is, the communication module 112 uses WIFI, bluetooth, network cable, 2G, 3G, 4G and other communication methods to transmit data, wherein WIFI can be connected to the network in a Wireless network card mode or can be connected to the network through a twisted pair cable interface; bluetooth is automatically adaptable to bluetooth 2.0 and bluetooth 4.0 and to the upgraded version of the bluetooth protocol.
Further, the cloud server 12 includes a cloud data center 120, a cloud processing module 121, and a result displaying and outputting module 122, which are communicatively connected; the cloud data center 120 is configured to receive the processed body state data transmitted by the lower computer 11, store the processed body state data, and send the processed body state data to the cloud processing module 121 and the result display and output module 122; the cloud processing module 121 is configured to analyze the processed body state data to obtain a sleep respiration analysis report of the target object, and send the sleep respiration analysis report to the result displaying and outputting module 122; the result displaying and outputting module 122 is configured to display the processed body state data and the sleep breathing analysis report, and output the sleep breathing analysis report; the cloud processing module 121 is further configured to analyze the processed body state data in real time to obtain abnormal data, and output an alarm signal to an external device according to the abnormal data.
In specific implementation, the cloud data center 120 is further configured to sense a working state of the lower computer 11 in real time, and send a parameter configuration instruction and a state control instruction to the lower computer 11; the result displaying and outputting module 122 is further configured to receive an adjustment instruction for the sleep respiration analysis report, and modify the sleep respiration analysis report according to the adjustment instruction to obtain a final sleep respiration analysis report.
In a specific implementation, the adjustment instruction may be sent to the cloud server 12 by an external device (such as a computer, a mobile phone, a smart band, etc.). The external device can acquire the designated sleep respiration analysis report and all original data corresponding to the sleep report through a data interface or a designated software tool, wherein the original data include heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves, and possibly electrocardio, body temperature, environment temperature and humidity signals and the like. Through the data interface or operation on the designated tool software, the sleep respiration analysis report can be modified, including the conclusion of the sleep respiration analysis report and the data analysis result corresponding to each time period.
For example, a doctor downloads raw data and a sleep apnea analysis report from a cloud server, and the software of the invention checks the raw data and the analysis conclusion (every 15-30 seconds) manually, so that the doctor can manually change the sleep apnea analysis report in a response time period, including whether apnea exists, apnea type, apnea event and the like.
In practical application, the cloud data center 120 is responsible for performing data communication, state communication and interactive control with the lower computer 11, and is responsible for storing data acquired by the lower computer 11 to the cloud data center in real time or in a delayed manner, sensing the working state of the lower computer 11 in real time, and issuing configuration parameters, state control commands and the like to the lower computer 11.
Specifically, the cloud data center 120 is in communication connection with the lower computer 11 through a TCP/IP (Transmission Control Protocol, Internet Protocol) or MQTT (Message queue Telemetry Transport) Protocol. That is, the server side in the cloud data center 120 receives data from the lower computer 11 through TCP/IP protocol or MQTT protocol communication, and performs a specific operation process through a packaged SDK (Software Development Kit) and API (Application Programming Interface) function. The server side can receive, process, store and display data. In order to improve the data receiving capacity of the server side, a plurality of servers can form a load balancing cluster. The server side can perform parameter configuration on the lower computer 11 through data communication.
In particular implementations, the cloud data center 120 may employ a time-series database as data storage, and may adapt to continuous data or scattered data. The relational database and the non-relational database generally have the defects of high data redundancy, low writing and reading speed and the like when storing big data of human physiological parameters. The invention stores data in order in a byte stream mode, and can remarkably improve the reading and writing speed of big physiological parameter data, reduce data redundancy, save storage space and effectively reduce storage cost through a defined data structure.
The data storage file sequentially stores data in a byte stream manner, and the file name is in a format of ID + serial number. The file includes 4 parts, ID1, index, description information, data part. ID1 holds a user ID and version number; the index portion identifies an index location of the data store; the description information is used for describing specific remark information of the data; the data portion is responsible for storing a specific data size. When the data file is too large, a new data storage file can be regenerated to store new data. Meanwhile, the cloud data center 120 further provides a time sequence data storage compression algorithm selection mechanism, and allows an application program to autonomously select the most suitable compression algorithm according to the characteristics of actual data, so that the compression effect of the data can be greatly improved, the storage pressure is effectively reduced, and the writing and query speed is improved.
The cloud data center 120 may further include a real-time data cache plug-in, and the data sent from the lower computer 11 to the cloud data center may set a specified time length, and the data in the time length may be stored in a memory space, so as to improve the reading performance. And data in the memory space is cached and continuously updated according to the advancing of time. The real-time data analysis plug-in may access the data in the real-time data caching plug-in and then perform a correlation analysis. The result analyzed by the real-time data analysis plug-in can also be written into a time sequence database; or the result of the analysis is read or written externally to the external space through an interface. The concrete implementation steps are as follows:
a) interface definition of time sequence data processing is defined in a cloud data center SDK: IPlugin. The interface mainly comprises an initialization function (initialization), a time sequence data processing function (ProcessData) and a stop function (Shutdown).
b) The specific handler needs to implement the IPlugin interface and place the specific implementation in a specified location (hereinafter referred to as a plug-in directory) in the form of a dynamically linked library.
c) And (3) scanning the dynamic link libraries in the plug-in directory in the step (2) when the database platform is started, respectively loading the dynamic link libraries into the memory, checking whether the dynamic link libraries realize the IPlugin interface in the step (1), and instantiating the interface and calling the initialization function Initialize of the interface if the IPlugin interface is realized. And finally, storing the plug-in instance which is successfully initialized in the memory.
d) After receiving the new time sequence data, the database platform firstly stores the new time sequence data in a database file through a time sequence data storage mechanism, and then sequentially sends the time sequence data to the data processing program ProcessData of each plug-in unit stored in the memory, so that the data processing of each plug-in unit is completed.
e) And when the database platform stops running, sequentially calling a stop function Shutdown of each plug-in, informing each plug-in to release resources, cleaning the cache and stopping running.
The cloud processing module 121 can call the real-time data cache plug-in unit, can analyze key indexes (namely, processed body state data) such as heart rate, respiration, blood oxygen saturation, mouth and nose airflow, body temperature and sleeping posture in real time, and output the key indexes to a mobile phone, a computer or other monitoring terminals in real time, and output alarm signals to external equipment according to abnormal data. For example, real-time warnings of accidental sensor detachment, user getting out of bed, too low heart rate, too high respiration, too low blood oxygen drop, apnea events, sudden death, etc. are provided.
In specific implementation, the cloud processing module 121 may obtain a sleep respiration analysis report by using algorithm analysis through the collected data, where the sleep respiration analysis report includes indexes such as sleep stage, respiration event, and heart rate event of the target object, and the indexes specifically include:
start time, end time, total recording time, total sleep time, sleep latency, REM (Rapid eye Movement) sleep latency, sleep stage (NREM: I, II, III; REM stage), sleep time per stage, percentage of sleep time per stage to total sleep time, percentage of sleep efficiency, waking times, waking time during sleep; obstructive sleep apnea number and time and duration of each occurrence, mixed sleep apnea number and time and duration of each occurrence, central sleep apnea number and time and duration of each occurrence, hypopnea number and time and duration of each occurrence, apnea + hypopnea number, Apnea Index (AI), Hypopnea Index (HI), apnea + hypopnea index (AHI), respiratory effort related arousals times (RERA), Respiratory Effort Related Arousals Index (RERAI), total times of blood oxygen saturation reduction of 3% or 4%, index of blood oxygen saturation reduction of 3% or 4%, mean value (%) of blood oxygen saturation during monitoring, minimum value (%) of blood oxygen saturation during monitoring, percentage (%) of time when blood oxygen saturation is less than 90% of total recording time, occurrence of Cheyne-Stokes respiratory event (yes/no); average heart rate during sleep, highest heart rate during sleep, lowest heart rate during sleep, average heart rate during recording (including sleep time and recording time), bradycardia/lowest reported heart rate, cardiac arrest/longest reported rest time, sinus tachycardia/fastest reported heart rate, atrial fibrillation, and other arrhythmias; body movement index, sleeping posture and the like.
The result display and output module 122 can display the sleep respiration monitoring waveform and/or value in real time, can automatically turn and roll pages, and can realize manual and/or automatic analysis processes and generate statistical results; sleep stages, respiratory events, hypoxic events, and limb movement events can be analyzed manually and/or automatically, and statistics and reports can be generated ultimately. The result display and output module 122 also has the function of switching leads or closing control keys, can select, define and display channels by clicking an interface, can display an interpretation sleep stage characteristic graph, can display a graph for identifying respiratory events, and can display and identify body movement variation waveforms. Related operations can also be accepted, and the sleep respiration analysis report can be modified manually and/or automatically.
The result displaying and outputting module 122 may operate on the cloud server 12, or operate on a personal computer or a mobile phone, and is connected to the cloud server 12 through a data interface.
The display amplitude of each sensor signal channel in the result display and output module 122 can be adjusted; the cut-off frequency of the high pass and the low pass can be adjusted; the function of prompting that the blood oxygen sensor falls off or the blood oxygen (pulse) value exceeds a set threshold value is provided; the device has the real-time early warning information prompting functions of accidental falling of the sensor, user bed leaving, too high heart rate, too high respiration, too low blood oxygen drop, apnea events and the like.
In a specific implementation, the cloud server 12 may also view raw data and manual production reports, and manually adjust/modify reports. That is, a manual analysis process may be implemented and statistical results generated; sleep stages, respiratory events, hypoxic events, and limb movement events can be manually analyzed, and statistical results and reports are finally generated; the results report of the automated analysis may be modified manually.
The doctor can log in the cloud server 12 through the data analysis software to check the sleep report, the real-time data and the early warning message, and can also check the sleep report, the real-time data and the early warning message which are authorized in other modes such as a mobile phone and a web terminal.
Further, the system further comprises a mobile terminal 20 connected with the lower computer 11 and the cloud server 12. The mobile terminal 20 is configured to perform parameter configuration on the lower computer 11, receive processed body state data sent by the lower computer 11, receive a sleep respiration analysis report sent by the cloud server, receive processed body state data sent by the cloud server, and receive body abnormal data and an alarm signal sent by the cloud server. The mobile terminal 20 may be a mobile phone or a tablet computer.
Specifically, the lower computer 11 may transmit the processed body state data to the mobile terminal 20 through bluetooth; the cloud server 12 may also send the received processed body state data to the mobile terminal 20 through wifi, 3G, 4G, or 5G.
In specific implementation, the mobile terminal 20 may perform parameter configuration on the lower computer 11, check original data generated by the lower computer 11, check a working state of the lower computer 11, and the like through application software. Furthermore, the mobile terminal can also check real-time data, early warning messages and data reports generated by the cloud server; the doctor can be connected for consultation or treatment through application software; and the system can also be connected with sleep regulation and control equipment such as a breathing machine and the like through application software to realize a closed loop mechanism of monitoring, regulation and control and feedback.
The user can check the sleep report through the mobile phone and connect with the doctor for consultation or treatment through the mobile phone application software. And the mobile phone application software can be connected with sleep regulation and control equipment such as a breathing machine and the like to realize a closed loop mechanism of monitoring, regulation and control and feedback.
In order to facilitate understanding of the embodiment of the present invention, the following takes a mobile terminal as an example, and gives a working process of the sleep respiration check system. After the data acquisition device in the sleep respiration inspection system is taken for the first time, the mobile phone downloads the application software of the equipment, the application software is used for searching the data acquisition device after the power supply is switched on, the WIFI information in the home of the user and the working mode of the data acquisition device are configured after the connection is successful, the user can fall asleep after wearing the sensor after the configuration is successful, and relevant data are automatically monitored. And uploading the data to a cloud data center for analysis. After the user sleeps for one night, the related sleep respiration analysis report can be seen the next day. Real-time organism data, lower computer working state data and early warning information during sleep, and a user can designate related personnel to check in real time. The associated person may be a doctor, family member, or other service person. The doctor can be connected to the cloud server, looks over user's raw data and sleep breathing analysis report to can combine raw data through the professional skill of oneself, manually revise sleep breathing analysis report and obtain more accurate result, and can feed back to the user.
The sleep respiration inspection system provides portable sleep respiration inspection equipment capable of monitoring and diagnosing OSA at home or remotely, BCG, chest and abdomen movement, body movement and sleeping posture of a user are acquired mainly through the piezoelectric sensor, changes of respiratory airflow of two nostrils and mouth of the user are acquired through the thermistor, and blood oxygen saturation and pulse wave of the user are acquired through the blood oxygen module. The data can be transmitted to the cloud server in real time, the sleep breath screening report is automatically generated by the cloud server, and the report comprises the contents of respiratory events, blood oxygen saturation changes, heart rate changes and the like. The generated original data can be downloaded to a local playback through a cloud, or the report can be generated manually or modified, and the method is mainly suitable for various environments of hospitals, old people, offices and families. Meanwhile, the user can finish diagnosis and treatment of related sleep diseases at home without queuing to a hospital for detection, and the convenience of the user, a doctor and the hospital is greatly improved.
Correspondingly, the embodiment of the system also provides a sleep respiration inspection method, which is applied to the sleep respiration inspection system; the method is suitable for individuals, families, hospitals, health service institutions and the like. As shown in fig. 15, the method includes the following specific steps:
step S302, collecting body state data of a target object through a data collecting device, and sending the body state data to a lower computer; wherein the body state data comprises heart rate, respiration signal, body movement signal, sleeping posture signal, respiratory airflow variation data of two nostrils and mouth, blood oxygen saturation and pulse wave.
And step S304, preprocessing the body state data through the lower computer to obtain processed body state data, and sending the processed body state data to the cloud server.
And step S306, generating a sleep respiration analysis report of the target object according to the received processed body state data through the cloud server.
The method provided by the embodiment of the present invention has the same implementation principle and technical effect as the system embodiment, and for the sake of brief description, reference may be made to the corresponding contents in the system embodiment for the parts that are not mentioned in the method embodiment.
An embodiment of the present invention further provides an electronic device, as shown in fig. 16, the electronic device includes a processor 400 and a memory 401, the memory 401 stores machine executable instructions capable of being executed by the processor 400, and the processor 400 executes the machine executable instructions to execute the sleep respiration inspection system and the sleep respiration inspection method.
Further, the electronic device shown in fig. 16 further includes a bus 402 and a communication interface 403, and the processor 400, the communication interface 403, and the memory 401 are connected by the bus 402.
The Memory 401 may include a Random Access Memory (RAM) and a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 403 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. Bus 402 can be an ISA bus, PCI bus, EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 16, but that does not indicate only one bus or one type of bus.
Embodiments also provide a computer-readable storage medium having stored thereon computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the sleep apnea detection system and method described above.
The computer program product of the sleep respiration check system and method provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where instructions included in the program code may be used to execute the method described in the foregoing method embodiment, and specific implementation may refer to the method embodiment, and will not be described herein again.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a ReaD-Only Memory (ROM), a RanDom Access Memory (RAM), a magnetic disk, or an optical disk.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings or orientations or positional relationships that the present product is conventionally placed in use, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal", "vertical", "suspended" and the like do not imply that the components are absolutely horizontal or suspended, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should also be noted that, unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The sleep respiration inspection system is characterized by comprising a data acquisition device, a lower computer and a cloud server which are sequentially connected;
the data acquisition device is used for acquiring body state data of a target object and sending the body state data to the lower computer; wherein the body state data comprises heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves;
the lower computer is used for preprocessing the machine body state data to obtain processed machine body state data and sending the processed machine body state data to the cloud server;
the cloud server is used for generating a sleep respiration analysis report of the target object according to the received processed body state data.
2. The system of claim 1, wherein the data acquisition device comprises a pressure sensing module, an airflow variation acquisition module, and a blood oxygen module;
the pressure sensing module is used for acquiring a heart rate signal, a breathing signal, a body movement signal and a sleeping posture signal of a target object; the airflow change acquisition module is used for acquiring respiratory airflow change data of two nostrils and the mouth of the target object;
the blood oxygen module is used for collecting the blood oxygen saturation, the pulse wave and the pulse rate of the target object.
3. The system of claim 1, wherein the data acquisition device further comprises one or more of an electrocardiogram strip, an electrocardiogram chip, a temperature and humidity sensor, and a body temperature sensor;
the electrocardio patch and the electrocardio chip are both used for acquiring electrocardio data of a target object;
the temperature and humidity sensor is used for acquiring the ambient temperature and the ambient humidity;
the body temperature sensor is used for acquiring the body temperature of the target object.
4. The system according to any one of claims 1-3, wherein the lower computer comprises a data processing module, a data storage module, a communication module and a display module;
the data processing module is used for carrying out analog-to-digital conversion processing on data in an analog signal format in the machine body state data to obtain a converted digital signal; combining the converted digital signal and data in a digital signal format in the machine body state data into processed machine body state data, and sending the processed machine body state data to the data storage module, the communication module and the display module;
the data storage module is used for storing the processed body state data;
the communication module is used for sending the processed body state data to the cloud server;
the display module is used for displaying the processed body state data and/or indicating the state of the system based on a preset display screen and/or a preset display lamp.
5. The system of claim 1, wherein the cloud server comprises a cloud data center, a cloud processing module and a result display and output module that are communicatively connected;
the cloud data center is used for receiving the processed body state data transmitted by the lower computer, storing the processed body state data, and sending the processed body state data to the cloud processing module and the result display and output module;
the cloud processing module is used for analyzing and processing the processed body state data to obtain a sleep respiration analysis report of the target object and sending the sleep respiration analysis report to the result display and output module;
the result display and output module is used for displaying the processed body state data and the sleep respiration analysis report and outputting the sleep respiration analysis report;
the cloud processing module is further used for analyzing the processed body state data in real time to obtain abnormal data, and outputting an alarm signal to external equipment according to the abnormal data.
6. The system of claim 5,
the cloud data center is also used for sensing the working state of the lower computer in real time and sending a parameter configuration instruction and a state control instruction to the lower computer;
and the result display and output module is also used for receiving an adjusting instruction aiming at the sleep respiration analysis report, and modifying the sleep respiration analysis report according to the adjusting instruction to obtain a final sleep respiration analysis report.
7. The system of claim 1, further comprising a mobile terminal connected to the lower computer and the cloud server;
the mobile terminal is used for configuring parameters of the lower computer, receiving the processed body state data sent by the lower computer, receiving the sleep respiration analysis report sent by the cloud server, receiving the processed body state data sent by the cloud server, and receiving body abnormal data and an alarm signal sent by the cloud server.
8. A sleep apnea detection method applied to a sleep apnea detection system as set forth in any one of claims 1-7; the method comprises the following steps:
acquiring body state data of a target object through a data acquisition device, and sending the body state data to a lower computer; wherein the body state data comprises heart rate, respiration signals, body movement signals, sleeping posture signals, respiratory airflow change data of two nostrils and mouth, blood oxygen saturation and pulse waves;
preprocessing the machine body state data through the lower computer to obtain processed machine body state data, and sending the processed machine body state data to a cloud server;
and generating a sleep respiration analysis report of the target object according to the received processed body state data through the cloud server.
9. An electronic device comprising a processor and a memory, the memory storing machine executable instructions executable by the processor, the processor executing the machine executable instructions to execute the sleep apnea examination system of any one of claims 1-7.
10. A machine-readable storage medium having stored thereon machine-executable instructions which, when invoked and executed by a processor, cause the processor to execute the sleep breath check system of any of claims 1-7.
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