CN117982113A - Electrocardiogram monitoring system and electrocardiograph monitoring method - Google Patents

Electrocardiogram monitoring system and electrocardiograph monitoring method Download PDF

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Publication number
CN117982113A
CN117982113A CN202311863701.3A CN202311863701A CN117982113A CN 117982113 A CN117982113 A CN 117982113A CN 202311863701 A CN202311863701 A CN 202311863701A CN 117982113 A CN117982113 A CN 117982113A
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China
Prior art keywords
terminal
wearer
broadcast frame
emergency help
wearable device
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CN202311863701.3A
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林哲民
周俊
许荣峰
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Shenzhen Qipule Chip Technology Co ltd
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Shenzhen Qipule Chip Technology Co ltd
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Priority to CN202311863701.3A priority Critical patent/CN117982113A/en
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Abstract

The invention relates to the technical field of data processing and health medical treatment, and discloses an electrocardiograph monitoring system and an electrocardiograph monitoring method, wherein the system comprises the following components: the wearable device comprises a wearable device, a first terminal and a second terminal, wherein the first terminal is a pairing terminal of the wearable device; the wearable device is used for collecting the electrocardio data of the wearer in real time, analyzing the electrocardio data to obtain an analysis result, and broadcasting an emergency help-seeking broadcast frame under the condition that the wearable device cannot be connected with the first terminal and the analysis result is that the electrocardio abnormality level of the wearer is the first level; the second terminal identifies the received broadcast frame, acquires first alarm information in the emergency help-seeking broadcast frame under the condition that the received broadcast frame is identified as the emergency help-seeking broadcast frame, and carries out corresponding processing based on the first alarm information. When the wearable device cannot establish connection with the paired first terminal, the abnormal alarm information can be sent in time.

Description

Electrocardiogram monitoring system and electrocardiograph monitoring method
Technical Field
The invention relates to the technical field of data processing and health medical treatment, in particular to an electrocardiograph monitoring system and an electrocardiograph monitoring method.
Background
Heart, brain and blood vessels are important organs of human body, and heart, brain and blood vessel diseases seriously threaten the health of modern people. More and more young people have accidents of cerebral infarction, stroke and sudden cardiac death every year, and the accidents are fatal accidents if surrounding people are not present; there are also a large number of elderly people injured by falls, and even some may cause fatal injuries. Some electrocardiograph monitoring paste products are on the market, but most of the products are used for electrocardiograph acquisition and storage, a small number of the products can be matched with handheld equipment for use, and analysis of electric signals is performed on APP of the handheld equipment, but real-time processing is not performed.
Obviously, for the case of the imperative of the minute and the second, the real-time electrocardiograph monitoring and alarming have great advantages, and if early warning can be carried out in advance for a plurality of minutes or seconds, the rescue is very beneficial. Because the information on the electrocardiograph paste on the market requires related pairing equipment such as a mobile phone, a PAD or a computer, the information on the electrocardiograph paste can be transmitted to the Internet. Therefore, in some scenarios, in the absence of paired devices, anomalies and alarms are not sent in time, missing the optimal rescue time.
Disclosure of Invention
In view of the above, the invention provides an electrocardiograph monitoring system and an electrocardiograph monitoring method, which are used for solving the problem that abnormality and alarm cannot be sent in time when paired equipment is absent in the prior art.
In a first aspect, the present invention provides an electrocardiographic monitoring system, the system comprising:
The wearable device comprises a wearable device, a first terminal and a second terminal, wherein the first terminal is a pairing terminal of the wearable device;
the wearable equipment is used for collecting electrocardiographic data of a wearer in real time, and analyzing the electrocardiographic data to obtain an analysis result;
Broadcasting an emergency help-seeking broadcast frame under the condition that the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardiographic abnormality level of the wearer is a first level, wherein the emergency help-seeking broadcast frame carries first alarm information, and the first alarm information comprises wearer information and electrocardiographic abnormality level of the wearer;
and the second terminal identifies the received broadcast frame, acquires first alarm information in the emergency help-seeking broadcast frame when identifying that the broadcast frame is the emergency help-seeking broadcast frame, and carries out corresponding processing based on the first alarm information.
According to the wearable device, the electrocardiograph data of the wearer can be acquired in real time and analyzed, when the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardiograph abnormal level of the wearer is the first level, the emergency help-seeking broadcast frame is broadcasted, so that the second terminal can receive the emergency help-seeking broadcast frame, corresponding processing is carried out based on the first alarm information in the emergency help-seeking broadcast frame, and the effect of timely broadcasting the abnormal alarm information is achieved.
In an optional embodiment, the emergency help broadcast frame includes wearer identification information;
And under the condition that the wearer identification information in the received emergency help-seeking broadcast frame is different from the wearer identification information of the second terminal, the second terminal broadcasts the emergency help-seeking broadcast frame, or transmits the first alarm information to the terminal paired with the second terminal, or transmits the first alarm information to target equipment.
The embodiment reduces the probability of the emergency help broadcast frame becoming an isolated node.
In an alternative embodiment, in the case that the wearer identification information in the received emergency help broadcast frame is the same as the wearer identification information of the second terminal, the second terminal ignores the emergency help broadcast frame.
The embodiment reduces the flooding effect of the emergency help broadcast frame.
In an optional embodiment, the emergency help broadcast frame includes a forwarding number;
and under the condition that the forwarding frequency in the received emergency help-seeking broadcast frame does not exceed the forwarding frequency threshold value, the second terminal broadcasts the emergency help-seeking broadcast frame, or transmits the first alarm information to the terminal paired with the second terminal, or forwards the first alarm information to target equipment.
The embodiment reduces the probability of the emergency help broadcast frame becoming an isolated node.
In an alternative embodiment, the second terminal ignores the emergency help broadcast frame when the number of times of forwarding in the received emergency help broadcast frame exceeds the threshold number of times of forwarding.
The embodiment reduces the flooding effect of the emergency help broadcast frame.
In an optional implementation manner, when the wearable device establishes connection with the first terminal and the analysis result indicates that the electrocardiograph abnormality occurs to the wearer, the wearable device is configured to send second alarm information to the first terminal, where the second alarm information includes an electrocardiograph abnormality degree of the wearer;
the first terminal is configured to receive the second alarm information, and perform corresponding processing based on the second alarm information.
In the embodiment, when the wearable device is connected with the first terminal and the analysis result shows that the electrocardio of the wearer is abnormal, abnormal alarm information is timely sent to the first terminal.
In an optional embodiment, when the wearable device cannot be connected to the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is a second level, the wearable device prompts the wearer to generate electrocardiographic abnormality, so that the wearer takes corresponding measures, wherein the electrocardiographic abnormality level corresponding to the second level is smaller than that corresponding to the first level.
In this embodiment, when the wearable device cannot be connected to the first terminal and the analysis result is that the electrocardiograph of the wearer is abnormal, the electrocardiograph of the wearer is timely prompted.
In an optional embodiment, when the wearable device cannot be connected to the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is the first level, the wearable device broadcasts the emergency help-seeking broadcast frame with a first threshold as a time interval until the number of broadcasts reaches a preset number.
According to the embodiment, when the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardiographic abnormality level of the wearer is the first level, the first threshold is taken as a time interval, the emergency help-seeking broadcast frame is periodically broadcast, and the abnormality warning information is timely sent, so that the wearer can be timely cured.
In an alternative embodiment, the wearable device includes an electrocardiograph sensor, a respiration sensor, and a motion gesture recognition sensor, wherein,
The electrocardio sensor is used for collecting electrocardio data of the wearer in real time;
The respiration sensor is used for collecting the respiration state data of the wearer in real time;
The motion gesture recognition sensor is used for collecting motion gesture data of the wearer in real time;
The analysis result is determined based on the electrocardiographic data, the respiratory state data, and the motion posture data.
The wearable device integrates the multichannel sensing device, and accuracy of alarm information is improved.
In an optional implementation manner, the wearable device inputs the electrocardiographic data into a first classification network to obtain an electrocardiographic classification result, inputs the respiratory state data into a second classification network to obtain a respiratory state classification result, and inputs the motion gesture data into a third classification network to obtain a motion gesture classification result; inputting the electrocardio classification result, the respiratory state classification result and the movement posture classification result into a preset health scoring network to obtain the analysis result.
According to the embodiment, the electrocardio data, the breathing state and the movement posture of the wearer are analyzed, the analysis result of the wearer is obtained, and the accuracy of the electrocardio abnormal level is ensured by analyzing the multichannel sensing data.
In an optional embodiment, the wearable device generates a log and stores abnormality information when the analysis result indicates that the electrocardiographic abnormality level of the wearer is the first level or the second level.
In the embodiment, the information of the first level or the second level of the electrocardiographic abnormality level is stored so as to be convenient for subsequent analysis, check and processing.
In a second aspect, the present application provides an electrocardiograph monitoring method, where the method is applied to a wearable device in an electrocardiograph monitoring system provided by an embodiment of the present application, where the electrocardiograph monitoring system includes the wearable device, a first terminal, and a second terminal, where the first terminal is a paired terminal of the wearable device; the method comprises the following steps:
collecting electrocardiographic data of a wearer, and analyzing the electrocardiographic data to obtain an analysis result;
Broadcasting an emergency help-seeking broadcast frame when the wearable device cannot be connected with the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is a first level, so that the second terminal acquires first alarm information in the emergency help-seeking broadcast frame and carries out corresponding processing based on the first alarm information when recognizing that the broadcast frame is the emergency help-seeking broadcast frame;
the emergency help-seeking broadcast frame carries first alarm information, wherein the first alarm information comprises wearer information and the degree of electrocardiographic abnormality of the wearer.
In a third aspect, the present application provides a computer readable storage medium, where computer instructions are stored on the computer readable storage medium, where the computer instructions are configured to cause a computer to execute an electrocardiographic monitoring method provided by an embodiment of the present application.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an electrocardiographic monitoring system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a second terminal performing corresponding processing based on first alarm information according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a first terminal performing corresponding processing based on second alarm information according to an embodiment of the present invention;
Fig. 4 is a flowchart of a method for a wearable device or a second terminal to forward an emergency help broadcast frame according to an embodiment of the present invention;
fig. 5 is a schematic structural view of a wearable device according to an embodiment of the present invention;
FIG. 6 is a flow chart of an electrocardiographic monitoring method according to an embodiment of the present invention;
FIG. 7 is a flow chart of yet another method of electrocardiographic monitoring according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of determining an electrocardiographic abnormality level according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of determining anomaly indication probabilities and indicator of interest probabilities in accordance with an embodiment of the present invention;
Fig. 10 is a state of health score value interval map according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The electrocardio monitoring paste can be used for electrocardio collection and storage, can also be matched with handheld equipment for use, and is used for analyzing an electric signal on the APP of the handheld equipment, but is not processed in real time. Obviously, for the case of the imperative of the minute and the second, the real-time electrocardiograph monitoring and alarming have great advantages, and if early warning can be carried out in advance for a plurality of minutes or seconds, the rescue is very beneficial. Because the information on the electrocardiograph paste on the market requires related pairing equipment such as a mobile phone, a PAD or a computer, the information on the electrocardiograph paste can be transmitted to the Internet. Therefore, in some scenarios, in the absence of paired devices, anomalies and alarms are not sent in time, missing the optimal rescue time.
The embodiment of the invention provides an electrocardiograph monitoring system, which is used for acquiring electrocardiograph data of a wearer in real time through wearing equipment and analyzing the electrocardiograph data, and broadcasting an emergency help-seeking broadcast frame when the wearing equipment cannot be connected with a mobile terminal and the analysis result is that the electrocardiograph abnormal level of the wearer is a first level, so that the abnormal condition of the wearer is transmitted through the broadcast frame, and the effect of timely transmitting abnormal alarm information is achieved.
According to an embodiment of the present invention, there is provided an electrocardiographic monitoring system, as shown in fig. 1, including:
The wearable device comprises a wearable device 101, a first terminal 102 and a second terminal 103, wherein the first terminal is a pairing terminal of the wearable device.
The wearable device 101 is configured to collect electrocardiographic data of a wearer in real time, analyze the electrocardiographic data, and obtain an analysis result.
Under the condition that the wearable device 101 cannot be connected with the first terminal 102 and the analysis result shows that the electrocardiographic abnormality level of the wearer is the first level, broadcasting an emergency help-seeking broadcast frame, wherein the emergency help-seeking broadcast frame carries first alarm information, and determining that the electrocardiographic abnormality level of the wearer is the first level under the condition that the electrocardiographic abnormality level exceeds a preset level.
And the second terminal 103 is configured to identify the received broadcast frame, and obtain first alarm information in the emergency help-seeking broadcast frame when the received broadcast frame is identified as the emergency help-seeking broadcast frame, and perform corresponding processing based on the first alarm information, where the first alarm information includes wearer information and an electrocardiographic abnormality degree of the wearer.
In the application, the first terminal is a pairing device of the wearable device, for example, can be a mobile phone, a pad or a computer. The wearable device and the first terminal cannot be connected, for example, the first terminal paired with the wearable device can be forgotten to be carried by the wearer when the wearer goes out, or the first terminal paired with the wearable device can be powered off, etc.
In the present application, the second terminal may be any terminal other than the pairing device understood as the wearable device, for example, may be a mobile phone or a tablet of another person, or may be another wearable device worn by another person.
Illustratively, the first terminal may broadcast the emergency help broadcast frame via a bluetooth module. It will be appreciated that other wearable devices, mobile terminals, etc. within a preset range of the bluetooth module may receive the emergency help broadcast frame, where the preset range refers to a range in which bluetooth may communicate, and is illustratively 10 meters, 20 meters, etc. near the bluetooth module.
In the application, the second terminal carries out corresponding processing based on the first alarm information, and the second terminal can prompt the first alarm information so as to facilitate the holder of the second terminal to provide emergency help for the wearer of the wearing equipment based on the alarm information. Or the second terminal can forward the first alarm information to the target device according to the emergency help-seeking broadcast frame.
In an example, in the case that the second terminal is another wearable device, the second terminal may forward the first alarm information in the emergency help-seeking broadcast frame to its paired device, so that its paired device forwards the first alarm information to the target device, where the target device may be determined by the emergency help-seeking broadcast frame, and the target device may be understood as a device where the first alarm information needs to be sent, for example, may be a server corresponding to the wearable device (the wearable device that is disconnected from the first terminal), or another related device of the wearer of the wearable device, for example, a device subscribing to the health state of the wearer, for example, a device of the relative of the wearer.
Under the condition that the second terminal is other wearable equipment, the second terminal may be abnormally connected with the self pairing equipment, so that the second terminal can also broadcast the emergency help-seeking broadcast frame, and other equipment can forward the first alarm information in the emergency broadcast frame to the target terminal. The relevant forwarding operations may be real-time or periodic.
The degree that the electrocardio data exceeds the normal electrocardio data range exceeds the preset degree, namely the electrocardio abnormality degree exceeds the preset degree, and the electrocardio abnormality level of the wearer is judged to be a first level, namely the severity level. It should be noted that the preset degree is set by a technician.
In the present application, the wearer information may include personnel basic information, sudden disorder information, position information, and the like of the wearer.
Fig. 2 is a schematic diagram of a corresponding process performed by a second terminal based on first alarm information according to an embodiment of the present invention. It can be understood that, in fig. 2, the second terminal is taken as a wearable device of the same type, as shown in fig. 2, the second terminal may prompt the second terminal holder to provide assistance for a wearer with serious electrocardiographic abnormality based on the first alarm information, or broadcast an emergency help-seeking broadcast frame under the condition that the second terminal holder cannot provide assistance. In the case that the second terminal is connected with the terminal paired with the second terminal, the emergency help-seeking broadcast frame may be sent to the terminal paired with the second terminal, and the paired terminal may be sent to the Internet, and transmitted to the subscription device through the Internet. The first alarm information can be routed to the cloud end equipment and the data center for storage through the Internet. Other networks may be wired, wiFi, cellular communications, etc.
It should be further noted that, the wearable device of a different type may forward the received emergency help broadcast frame through its own emergency help broadcast frame forwarding function. If the wearable device of a different type is connected with the paired terminal, the received emergency help broadcast frame can be sent to the paired terminal, and the paired terminal performs further processing, such as forwarding to the paired device of the user or rebroadcasting.
Also, as an example, the second terminal may be a mobile terminal, where the mobile terminal receives the emergency help-seeking broadcast frame, and the mobile terminal holder may provide assistance to the wearer based on the first alarm information in the emergency help-seeking broadcast frame, or may send the emergency help-seeking broadcast frame to the subscribing device in response to a forwarding operation of the mobile terminal holder in a case where the mobile terminal holder cannot provide assistance. The first alarm information can be routed to cloud equipment and a data center corresponding to the wearable equipment through the Internet for storage.
In some optional embodiments, when the wearable device establishes connection with the first terminal and the analysis result indicates that the electrocardiograph abnormality occurs to the wearer, the wearable device is configured to send second alarm information to the first terminal through the bluetooth module, where the second alarm information includes electrocardiograph abnormality degree of the wearer; the first terminal is used for receiving the second alarm information and carrying out corresponding processing based on the second alarm information.
The wearable device can discover the first terminal by sending the broadcast frame through the Bluetooth module, and establishes connection with the first terminal. The wearable device establishes connection with the paired first terminal through the Bluetooth module, namely the wearable device can establish connection with the first terminal. At this time, if the analysis result indicates that the electrocardiograph abnormality occurs to the wearer, the wearable device sends second alarm information to the first terminal through the Bluetooth module.
It should be noted that, fig. 3 is a schematic diagram of a first terminal performing corresponding processing based on second alarm information according to an embodiment of the present invention, and as shown in fig. 3, the first terminal performing corresponding processing based on the second alarm information may include:
The first terminal sends the second alarm information to the Internet through other networks, and the second alarm information is transmitted to other subscription devices of the wearer of the wearable device through the Internet. The second alarm information can be routed to cloud equipment and a data center corresponding to the wearable equipment through the Internet for storage. Other networks may be wired, wiFi, cellular communications, etc.
In the present application, a subscribing device can be understood as a device that subscribes to a notification or broadcast of another device. For example, one device may broadcast information and another device may subscribe to the broadcasts to receive updates. In this case, the subscribing devices typically do not need prior pairing.
Subscription is divided into two types, one being a contact designated on the paired first terminal, this implementation being an APP implementation on the first terminal. The general flow is as follows: and after the APP receives the second alarm information, forwarding the second alarm information to the subscription equipment.
The other is sent to a subscribing device, such as a server of a pension/hospital, through an operations center. The general flow is that after receiving the second alarm information of the wearable device, the first terminal sends the second alarm information to the operation center server, and the server forwards the second alarm information to the interested subscription device, for example, a mobile phone, a mailbox, etc. of a guardian of the wearer according to the information of the subscription device.
Alternatively, in the present application, a subscribing device can also be understood as a target device.
In some optional embodiments, when the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardiographic abnormality level of the wearer is the second level, the wearable device is used for prompting the wearer to generate electrocardiographic abnormality so that the wearer can take corresponding measures.
The degree of electrocardiographic abnormality corresponding to the second level is smaller than that corresponding to the first level.
And under the condition that the electrocardio abnormality degree does not exceed the preset degree, determining that the electrocardio abnormality level of the wearer is a second level, namely a non-serious level. It should be noted that the preset degree is set by a technician.
In the application, the prompting mode can be a signal indicating lamp which prompts the wearer by related combinations of different colors, flickering frequencies and the like according to the degree of the electrocardiographic abnormality.
It should be further noted that, when the wearable device cannot be connected with the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is the first level, the wearable device may also prompt the wearer to generate electrocardiographic abnormality, so that the wearer takes corresponding measures.
In some optional embodiments, the wearable device is configured to broadcast the emergency help-seeking broadcast frame with a first threshold as a time interval until the number of broadcasting times reaches a preset number of times when the wearable device cannot be connected to the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is the first level.
The first threshold is preset by the wearer or technician, and may be set to 3 seconds, for example.
It can be appreciated that in places such as a large care home and a hospital, sometimes, some wearers forget to carry the paired first terminal or due to shielding of a wireless environment, etc., communication connection with the paired first terminal is abnormal, that is, many old people in the care home use wearing devices, and many wearing devices of the old people cannot establish connection with the paired first terminal.
It can be appreciated that although the bluetooth module broadcasts the emergency help-seeking broadcast frame with the first threshold as the time interval, the probability of successful transmission of the emergency help-seeking broadcast frame is improved, so that the wearer can be helped in time. However, if the emergency help broadcast frame is transmitted in an unconditional manner, flooding phenomenon is caused, so that other normal communication requirements cannot be met. In order to reduce or avoid flooding, the application stops broadcasting the emergency help-seeking broadcast frame under the condition that the broadcasting times reach the preset times. The preset times can be set according to specific conditions of the network.
In some optional embodiments, the emergency help-seeking broadcast frame includes wearer identification information, and the wearable device is further configured to broadcast the emergency help-seeking broadcast frame sent by other devices or terminals or send the emergency help-seeking broadcast frame to the first terminal, where the first terminal performs corresponding processing.
If the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device is the same as the wearer identification information of the wearable device, the wearable device ignores the emergency help-seeking broadcast frame.
And under the condition that the wearer identification information in the received emergency help-seeking broadcast frame is the same as the wearer identification information of the second terminal, the second terminal ignores the emergency help-seeking broadcast frame.
In order to reduce or avoid flooding, the emergency help-seeking broadcast frame is provided with wearer identification information, and if the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device is the same as the wearer identification information of the wearable device, the emergency help-seeking broadcast frame is not forwarded. The second terminal receives the emergency help-seeking broadcast frame broadcast by the wearable device, and does not broadcast the emergency help-seeking broadcast frame under the condition that the wearer identification information is the same as the wearer identification information of the second terminal. The wearable device and the second terminal store their own wearer identification information, which is an identifiable identifier of the wearer, for example, an identification card number of the wearer, etc. Alternatively, the wearer identification information may also be referred to as a wearer ID, user ID.
In some optional embodiments, if the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device is different from the wearer identification information of the wearable device, the wearable device broadcasts the emergency help-seeking broadcast frame or sends the emergency help-seeking broadcast frame to the first terminal, and the first terminal performs corresponding processing.
If the second terminal is other wearable devices, the second terminal may broadcast or send the emergency help-seeking broadcast frame to the paired terminal, where the paired terminal performs corresponding processing, for example, forwarding to the target device, under the condition that the wearer identification information in the received emergency help-seeking broadcast frame is different from the wearer identification information of the second terminal.
If the second terminal is other non-wearable equipment, the second terminal forwards the first alarm information to the target equipment under the condition that the wearer identification information in the received emergency help-seeking broadcast frame is different from the wearer identification information of the second terminal.
In some optional embodiments, the emergency help broadcast frame includes a forwarding number, and if the forwarding number in the emergency help broadcast frame received by the wearable device exceeds the forwarding number threshold, the wearable device ignores the emergency help broadcast frame.
And under the condition that the forwarding times in the received emergency help broadcasting frames exceeds a forwarding times threshold value, the second terminal ignores the emergency help broadcasting frames.
In order to reduce or avoid flooding phenomenon, a forwarding frequency field is set in the emergency help-seeking broadcast frame, and if the emergency help-seeking broadcast frame is forwarded once, the forwarding frequency field is +1, when the wearable device or the second terminal receives the emergency help-seeking broadcast frame, the forwarding frequency in the emergency help-seeking broadcast frame is obtained, and after the forwarding frequency exceeds a forwarding frequency threshold value, the wearable device or the second terminal ignores the emergency help-seeking broadcast frame and does not forward any more.
In the application, the forwarding frequency threshold can be set in a self-defined way, and the forwarding frequency threshold can be set to be a value between 0 and 255, such as 20 and 30.
In some optional embodiments, if the number of times of forwarding in the emergency help-seeking broadcast frame received by the wearable device does not exceed the threshold number of times of forwarding, the wearable device broadcasts the emergency help-seeking broadcast frame or sends the emergency help-seeking broadcast frame to the first terminal, and the first terminal performs corresponding processing.
If the second terminal is other wearable equipment, and the forwarding times in the received emergency help-seeking broadcast frame do not exceed the forwarding times threshold, the second terminal broadcasts or transmits the emergency help-seeking broadcast frame to the paired terminal, and the paired terminal carries out corresponding processing.
If the second terminal is other non-wearable equipment, the second terminal forwards the first alarm information to the target equipment under the condition that the forwarding times in the received emergency help-seeking broadcast frame do not exceed the forwarding times threshold value.
Fig. 4 is a flowchart of a method for a wearable device or a second terminal to forward an emergency help broadcast frame according to an embodiment of the present invention. As shown in fig. 4, the method comprises the following steps:
the first step, receiving an emergency help-seeking broadcast frame, and judging whether the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device or the second terminal is the same as the wearer identification information of the wearable device or the second terminal.
And if the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device or the second terminal is the same as the wearer identification information of the wearable device or the second terminal, the emergency help-seeking broadcast frame is ignored and is not forwarded.
And thirdly, if the wearer identification information in the emergency help-seeking broadcast frame received by the wearable device or the second terminal is different from the wearer identification information of the wearable device or the second terminal, judging whether the sending device of the emergency help-seeking broadcast frame cannot be connected with the paired terminal.
And step four, if the sending equipment of the emergency help-seeking broadcast frame cannot be connected with the paired terminal, judging whether the forwarding frequency of the emergency help-seeking broadcast frame is smaller than or equal to a forwarding frequency threshold value.
And fifthly, if the sending equipment of the emergency help-seeking broadcast frame can be connected with the paired terminal, the emergency help-seeking broadcast frame is ignored and is not forwarded.
And step six, if the forwarding frequency of the emergency help-seeking broadcast frame is smaller than or equal to a forwarding frequency threshold value, judging whether the emergency help-seeking broadcast frame is successfully forwarded.
And seventhly, if the forwarding times of the emergency help broadcasting frame are larger than the forwarding times threshold, ignoring the emergency help broadcasting frame and not forwarding.
And eighth, if the emergency help broadcasting frame is not successfully forwarded, forwarding the emergency help broadcasting frame.
Wherein the forwarding number field is automatically incremented by 1.
And ninth, if the emergency help broadcasting frame is successfully forwarded, ignoring the emergency help broadcasting frame and not forwarding.
It should be noted that the emergency help broadcast frame has been successfully forwarded to the wearer with corresponding assistance.
According to an embodiment of the present invention, there is provided an electrocardiographic monitoring system, including:
The wearable device comprises a wearable device, a first terminal and a second terminal, wherein the first terminal is a pairing terminal of the wearable device.
Wherein, wearing equipment can be the electrocardio subsides. Fig. 5 is a schematic structural diagram of a wearable device according to an embodiment of the present invention, as shown in fig. 5, the wearable device includes:
An electrocardiographic sensor 501, a respiration sensor 502, and a motion gesture recognition sensor 503, wherein,
An electrocardiograph 501 for acquiring electrocardiographic data of a wearer in real time.
A respiration sensor 502 for collecting in real time the respiration status data of the wearer.
A motion gesture recognition sensor 503 for collecting motion gesture data of the wearer in real time.
The motion gesture recognition sensor may be an acceleration sensor, a gyroscope sensor or both. If the method is only used for distinguishing a few motion postures such as motion, static, falling and the like, the acceleration sensor is used, if more motion postures need to be distinguished, for example, different motion types, postures of a wearer and the like, the acceleration sensor and the gyroscope sensor are required to collect data at the same time to determine motion posture data.
The respiration sensor can acquire the respiration state data of the wearer by detecting the change in the resistance of the loop between the two electrodes.
It should be noted that the wearable device may further include other biosensors for collecting blood oxygen data, blood glucose data, etc. of the wearer. The wearable device may further comprise a temperature sensor for acquiring temperature information of the wearer in real time.
Under the condition that the wearing equipment cannot be connected with the first terminal, the wearing equipment is used for analyzing the electrocardio data, the breathing state data and the movement posture data of the wearer to obtain an analysis result, and the analysis result is used for representing the electrocardio abnormal level.
Under the condition that the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardiographic abnormality level of the wearer is the first level, broadcasting an emergency help-seeking broadcast frame, wherein the emergency help-seeking broadcast frame carries first alarm information, and the first alarm information comprises the information of the wearer and the electrocardiographic abnormality level of the wearer.
The second terminal identifies the received broadcast frame, and under the condition that the received broadcast frame is identified as the emergency help-seeking broadcast frame, the second terminal acquires first alarm information in the emergency help-seeking broadcast frame and carries out corresponding processing based on the first alarm information.
As shown in fig. 5, the wearable device further includes a main processing module 504, configured to analyze the electrocardiographic data, the respiratory status data, and the movement posture data of the wearer, so as to obtain an electrocardiographic abnormality degree of the wearer. The main processing module is connected with each sensor through an interface, wherein the interface can be an SPI interface, an I2C interface, a GPIOs interface and the like.
It should be noted that, although the electrocardiographic patch needs to monitor various data in real time, the "real-time" is also flexible, for example, if the monitoring of working for 3 seconds and resting for 1 second can meet the requirement, the real-time requirement is considered to be met, so the electrocardiographic patch will generally have a working mode and a resting mode. Preferably, when an emergency needs to send an emergency help broadcast frame, whether a matched terminal is connected is judged, if the matched terminal is connected, the time for modifying the working mode is not needed, and if the matched terminal is not connected, the time for the electrocardio paste working mode can be increased in order to increase the probability of forwarding the emergency help broadcast frame.
Table 1 shows the format of the emergency help broadcast frame.
TABLE 1
It should be noted that, the format of the emergency help-seeking frame in table 1 is illustrated as an example, and may be other forms, where AD Type is the Type of the emergency help-seeking frame, and AD Data is the Data information included in the emergency help-seeking frame.
In some optional embodiments, the wearable device generates a log and stores the abnormality information when the analysis result is that the electrocardiographic abnormality level of the wearer is a level or a second level.
The abnormal information may include the time of occurrence of an electrocardiographic abnormality, the level of the electrocardiographic abnormality, the cause of the electrocardiographic abnormality, related analysis data, and the like.
As shown in fig. 5, the wearable device further includes:
The storage module 505 is configured to store information of the electrocardiographic abnormality level being the second level. Of course, information of the first level of the electrocardiographic abnormality and normal electrocardiographic data may be stored.
The wireless communication module 506 may be the bluetooth module described above, or may be another low-power wireless communication module.
The power management and battery charging management module 507 is configured to charge the wearable device.
It should be noted that the wireless communication module, the storage module, the power management module, and the battery charging management module may be integrated in the main processing module.
It should be further noted that the wearable device may further include a wired connection interface, where the interface may be a serial interface or a USB interface.
In some optional embodiments, the wearable device inputs the electrocardiographic data into the first classification network to obtain an electrocardiographic classification result, inputs the respiratory state data into the second classification network to obtain a respiratory state classification result, and inputs the motion gesture data into the third classification network to obtain a motion gesture classification result; and inputting the electrocardio classification result, the respiratory state classification result and the movement posture classification result into a preset health scoring network to obtain an analysis result.
In accordance with an embodiment of the present invention, an embodiment of an electrocardiographic monitoring method is provided, it being noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions, and, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order other than that illustrated herein.
In this embodiment, an electrocardiograph monitoring method is provided, which may be used in the wearable device described above, and fig. 6 is a flowchart of the electrocardiograph monitoring method according to an embodiment of the present invention, as shown in fig. 6, where the flowchart includes the following steps:
first, a log is generated locally and alarm information is stored.
And secondly, judging whether the wearable device cannot be connected with the first terminal.
Thirdly, under the condition that the wearable device is connected with the first terminal and the electrocardio of the wearer is abnormal, the alarm information is sent to the first terminal, and the first terminal carries out further processing.
Fourth, under the condition that the wearable device cannot be connected with the first terminal and the electrocardiographic abnormal level of the wearer is the first level, adjusting the sending power, the broadcasting period and the broadcasting times, assembling the emergency help-seeking broadcasting frame, and broadcasting the emergency help-seeking broadcasting frame periodically by taking the first threshold value as a time interval until the broadcasting times reach the preset times.
When the wearable device cannot establish connection with the paired first terminal, the abnormal alarm information can be timely sent through the wearable device.
In this embodiment, an electrocardiograph monitoring method is provided, which may be used in the wearable device described above, and fig. 7 is a flowchart of the electrocardiograph monitoring method according to an embodiment of the present invention, as shown in fig. 7, where the flowchart includes the following steps:
first, data acquisition. Electrocardiogram data, respiratory state data and movement posture data of the wearer are acquired by the sensor.
And secondly, preprocessing data. The data preprocessing comprises data noise reduction and external interference signal elimination.
The preprocessing of the data is implemented by various types of filters, which may include, for example, a low-pass filter, a band-pass filter, and a notch filter for eliminating specific frequency interference, such as 50/60Hz interference, and the implementation of the filter may be a non-recursive filter or a recursive filter may be employed.
Third, data detection classification.
And detecting and classifying the electrocardio data, the breathing state data and the movement posture data of the wearer. The data detection classification method can be as follows: feature extraction, detection and classification, hidden Markov sequence analysis, neural network training, classification and fuzzy classification technology, and expert decision tree classification.
The feature extraction is to calculate the amplitude, frequency and waveform of each data, further calculate the features of each data, and classify according to a plurality of features, wherein the similarity is calculated by matching with various known feature waveforms.
The detecting and classifying the motion gesture data of the wearer may be measuring related indexes, such as walking frequency, jumping frequency, etc., by using a motion gesture recognition sensor, and then classifying the motion gesture data by using a third classification network to obtain the current motion gesture of the wearer and the corresponding probability, for example, the motion gesture type may be as shown in table 2, where the motion gesture type includes silence, motion, sleep and struggling, and the third classification network is trained by a motion detection classification algorithm.
TABLE 2
The detection and classification of the electrocardiographic data of the wearer may be to collect electrocardiographic data by means of an electrocardiograph, and then classify the electrocardiographic data by means of a first classification network, and obtain probabilities under each class. For example, the electrocardiographic data type may be normal ECG, ischemic ST-T changes, left atrium overload/augmentation, right atrium overload/augmentation, left ventricular hypertrophy, right ventricular hypertrophy, lower back wall myocardial infarction, primary atrioventricular block, etc.
The detection and classification of the breathing state data of the wearer may be by collecting the breathing state data, e.g. breathing waveforms, measuring the breathing frequency, etc. by means of a breathing sensor, and obtaining the type of breathing state and the associated probability by means of a second classification network. For example, may be a respiratory state type as shown in table 3, and the second classification network may be a DNN classification model.
TABLE 3 Table 3
Fourth, grading the electrocardio abnormal level.
And inputting the electrocardio classification result, the respiratory state classification result and the movement posture classification result into a preset health scoring network model to obtain an analysis result, namely an electrocardio abnormality level. The electrocardiographic abnormality level may be classified into a serious, general, irrelevant, etc., the first level may be a serious level, and the second level may be a general, irrelevant, etc. And adopting a preset strategy to process alarms of different levels, such as immediately adopting a wireless communication module to send or store the alarms in a local memory and a log.
FIG. 8 is a schematic diagram of determining an electrocardiographic abnormality level according to an embodiment of the present invention. As shown in fig. 8, after the motion posture data, the electrocardiographic data and the respiratory state data of the wearer are obtained, the electrocardiographic data is input into a first classification network to obtain an electrocardiographic classification result, the respiratory state data is input into a second classification network to obtain a respiratory state classification result, the motion posture data is input into a third classification network to obtain a motion posture classification result, the electrocardiographic classification result and the respiratory state classification result are transmitted to a preset health scoring network model, the model calculates a value reflecting the health state of the wearer according to the input information, namely, the health scoring network model outputs a health state scoring value, and the abnormal electrocardio level is determined by using the health state scoring value. The model may be implemented by various schemes, for example, the health scoring network model may be a reinforcement learning network, and the embodiment adopts a 3-layer fully-connected network to implement health status and abnormality indication assessment.
The abnormality indication may be an abnormality of the motion posture data, the electrocardiographic data, the respiratory state data.
The index of interest refers to motion posture data, electrocardiographic data, and respiratory state data.
And finally comprehensively obtaining the health state scoring value of the wearer through the care index and the abnormality indication.
Fig. 9 is a schematic diagram of determining anomaly indication probability and indicator of interest probability according to an embodiment of the present invention.
As shown in fig. 9, the motion posture data, the electrocardiographic data, and the respiratory state data of the wearer are input into the health scoring network model, and the abnormality indication probability and the attention index probability are obtained. Wherein, the abnormality indication probability range is 0 to 1,1 indicates abnormality, and 0 indicates no abnormality. The probability range of the interest index is 0-1, 1 indicates healthy, and 0 indicates unhealthy.
Because each person has different physical characteristics, the basic disease is different. Therefore, in this embodiment, a score adjustment module based on the individual condition of the wearer is provided, so that some categories requiring warning may be weighted on the input side. Different threshold divisions can be configured on the output side according to the characteristics of each person to correspond to several different health state score value intervals. For example, the output side: young people set a large healthy area section and old people set a small healthy area section. And finally, looking at which interval the output health state grading value falls, and outputting the electrocardio abnormal level corresponding to the corresponding health state grading value interval. Fig. 10 is a map of a health status score value interval according to an embodiment of the present invention, in which the x-axis is the input health status score value and the y-axis is the interval in which the health status score value is located. As illustrated in fig. 10, the health status score value includes six intervals, in which the health status score value falls within the health status score value interval 1, and the electrocardiographic abnormality level is confirmed to be the first level. The health state score values fall in the health state score value intervals 2 and 3 can confirm that the electrocardio abnormal level is the second level, and the health state score values fall in the health state score value intervals 4,5 and 6 to confirm that the electrocardio health state exists, and no alarm is needed.
In the application, the analysis result is determined by combining the electrocardio data, the motion state data and the breathing data together, so that the alarm accuracy can be improved.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.

Claims (12)

1. An electrocardiograph monitoring system is characterized by comprising a wearable device, a first terminal and a second terminal, wherein the first terminal is a paired terminal of the wearable device;
the wearable equipment is used for collecting electrocardiographic data of a wearer in real time, and analyzing the electrocardiographic data to obtain an analysis result;
Broadcasting an emergency help-seeking broadcast frame under the condition that the wearable device cannot be connected with the first terminal and the analysis result shows that the electrocardio abnormality level of the wearer is a first level, wherein the emergency help-seeking broadcast frame carries first alarm information, and the first alarm information comprises wearer information and electrocardio abnormality level of the wearer;
The second terminal identifies the received broadcast frame, and under the condition that the received broadcast frame is identified as the emergency help-seeking broadcast frame, first alarm information in the emergency help-seeking broadcast frame is acquired, and corresponding processing is carried out based on the first alarm information.
2. The system of claim 1, wherein the emergency help broadcast frame includes wearer identification information therein;
And under the condition that the wearer identification information in the received emergency help-seeking broadcast frame is different from the wearer identification information of the second terminal, the second terminal broadcasts the emergency help-seeking broadcast frame, or sends the first alarm information to the terminal paired with the second terminal, or forwards the first alarm information to target equipment.
3. The system according to claim 2, wherein the second terminal ignores the emergency help broadcast frame in the case where the wearer identification information is the same as the wearer identification information of itself in the received emergency help broadcast frame.
4. A system according to any one of claims 1-3, characterized in that the emergency help broadcast frame comprises a number of forwarding times;
And under the condition that the forwarding times in the received emergency help-seeking broadcast frame do not exceed a forwarding times threshold, the second terminal broadcasts the emergency help-seeking broadcast frame, or sends the first alarm information to a terminal paired with the second terminal, or forwards the first alarm information to target equipment.
5. The system of claim 4, wherein the second terminal ignores the emergency help broadcast frame if a number of hops in the received emergency help broadcast frame exceeds the threshold number of hops.
6. The system according to claim 5, wherein in a case where the wearable device establishes a connection with the first terminal and the analysis result is that the electrocardiographic abnormality occurs in the wearer, the wearable device is configured to send second alarm information to the first terminal, where the second alarm information includes an electrocardiographic abnormality degree of the wearer;
the first terminal is configured to receive the second alarm information, and perform corresponding processing based on the second alarm information.
7. The system according to claim 5, wherein in a case where the wearable device cannot be connected to the first terminal and the analysis result indicates that the electrocardiographic abnormality level of the wearer is a second level, the wearable device prompts the wearer to generate electrocardiographic abnormality so that the wearer takes corresponding measures, wherein the electrocardiographic abnormality level corresponding to the second level is smaller than that corresponding to the first level.
8. The system according to claim 5, wherein the wearable device broadcasts the emergency help-seeking broadcast frame with a first threshold as a time interval until a broadcast frequency reaches a preset frequency when the wearable device cannot be connected with the first terminal and the analysis result indicates that an electrocardiographic abnormality level of the wearer is the first level.
9. The system of claim 5, wherein the wearable device comprises an electrocardiograph sensor, a respiration sensor, and a motion gesture recognition sensor, wherein,
The electrocardio sensor is used for collecting electrocardio data of the wearer in real time;
The respiration sensor is used for collecting the respiration state data of the wearer in real time;
The motion gesture recognition sensor is used for collecting motion gesture data of the wearer in real time;
The analysis results are determined based on the electrocardiographic data, the respiratory state data, and the motion gesture data.
10. The system of claim 9, wherein the wearable device inputs the electrocardiographic data into a first classification network to obtain an electrocardiographic classification result, inputs the respiratory state data into a second classification network to obtain a respiratory state classification result, and inputs the motion gesture data into a third classification network to obtain a motion gesture classification result; and inputting the electrocardio classification result, the respiratory state classification result and the movement posture classification result into a preset health scoring network to obtain the analysis result.
11. The system according to claim 10, wherein the wearable device generates a log and stores abnormality information if the analysis result is that the electrocardiographic abnormality level of the wearer is the first level or the second level.
12. The electrocardio monitoring method is characterized by being applied to wearing equipment in an electrocardio monitoring system, wherein the electrocardio monitoring system comprises the wearing equipment, a first terminal and a second terminal, and the first terminal is a pairing terminal of the wearing equipment; the method comprises the following steps:
Collecting electrocardiographic data of a wearer, and analyzing the electrocardiographic data to obtain an analysis result;
Broadcasting an emergency help-seeking broadcast frame under the condition that the wearable device cannot be connected with the first terminal and the analysis result indicates that the electrocardio abnormality level of the wearer is a first level, so that the second terminal acquires first alarm information in the emergency help-seeking broadcast frame under the condition that the second terminal recognizes that the broadcast frame is the emergency help-seeking broadcast frame, and carries out corresponding processing based on the first alarm information;
the emergency help-seeking broadcast frame carries first alarm information, wherein the first alarm information comprises wearer information and the degree of electrocardiographic abnormality of the wearer.
CN202311863701.3A 2023-12-29 2023-12-29 Electrocardiogram monitoring system and electrocardiograph monitoring method Pending CN117982113A (en)

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