CN117224131A

CN117224131A - Intelligent bracelet, electrocardiosignal detection method, device and medium

Info

Publication number: CN117224131A
Application number: CN202311280075.5A
Authority: CN
Inventors: 杨伟; 刘晓虹; 萧伟翠
Original assignee: Shenzhen Tengxin Baina Technology Co ltd
Current assignee: Shenzhen Tengxin Baina Technology Co ltd
Priority date: 2023-09-28
Filing date: 2023-09-28
Publication date: 2023-12-15

Abstract

The application relates to the field of signal detection, in particular to an intelligent bracelet, an electrocardiosignal detection method, an electrocardiosignal detection device and a medium. The smart bracelet may include: a processor configured to perform the operations of: collecting electrocardiosignals of a wearer; detecting whether the heartbeat of the wearer is abnormal or not according to the electrocardiosignal; if the heartbeat of the wearer is abnormal, determining an abnormal electrocardio segment from the electrocardio signal, and storing the abnormal electrocardio segment, wherein the abnormal electrocardio segment is a segment with abnormal heartbeat in the center of the electrocardio signal; when detecting that the device is connected with the medical staff terminal equipment, feeding back each stored abnormal electrocardio segment to the medical staff terminal equipment. The application has the effect of improving the efficiency of detecting heart diseases by doctors.

Description

Intelligent bracelet, electrocardiosignal detection method, device and medium

Technical Field

The application relates to the field of signal detection, in particular to an intelligent bracelet, an electrocardiosignal detection method, an electrocardiosignal detection device and a medium.

Background

For the electronic watch or the bracelet capable of detecting heart rate, the electronic watch is contacted with the human body through the electrode plate on the electronic watch, when the heart of the human body beats, a specific potential difference is formed on the surface of the skin, the waveform of the heart of the human body can be captured through collecting the potential difference on the surface of the skin, the waveform of the heart beat is an electrocardiosignal, and the frequency of the heart beat of the human body, namely the heart rate, can be detected by utilizing the electrocardiosignal.

At this stage, cardiovascular disease has become increasingly younger for the population, and the incidence of cardiovascular disease is also becoming higher. Some cardiovascular diseases can be judged whether to be abnormal or not by identifying the waveform of the electrocardiosignal, and the abnormal can be timely intervened and treated when the abnormal is detected so as to reduce the hazard rate of the cardiovascular diseases.

However, at present, the electrocardiosignal detection device is widely applied in hospitals, people need to detect in the hospitals to check electrocardiosignals, and the electrocardiosignal detection device of the hospitals is large in size, so that popularization of people is difficult to realize to meet the requirements of people on electrocardiosignal detection.

After the heartbeat of the personnel is abnormal, the personnel can go to the hospital to see the doctor, the doctor can only collect the electrocardiosignals after the arrival of the personnel and carry out problem analysis according to the collected electrocardiosignals, but in a period of time after the collection, the electrocardiosignals can be continuously kept at a normal level or the heartbeat in abnormal state is difficult to be repeated, and in order to be fully detected to determine the illness state of the user, the doctor is often required to continuously wear detection equipment for a long time so as to detect the electrocardiosignals of the personnel in a long time, so that the efficiency of the doctor on the detection and identification of heart diseases is lower and the heart problems of the personnel in time are difficult to find.

Disclosure of Invention

In order to improve the efficiency of a doctor in detecting heart diseases, the application provides an intelligent bracelet, an electrocardiosignal detection method, an electrocardiosignal detection device and a medium.

In a first aspect, the present application provides an intelligent bracelet, which adopts the following technical scheme:

an intelligent bracelet, the intelligent bracelet comprising:

a processor configured to perform the operations of:

collecting electrocardiosignals of a wearer;

detecting whether the heartbeat of the wearer is abnormal or not according to the electrocardiosignal;

if the heartbeat of the wearer is abnormal, determining an abnormal electrocardio segment from the electrocardio signal, and storing the abnormal electrocardio segment, wherein the abnormal electrocardio segment is a segment with abnormal central jump of the electrocardio signal;

when the connection with the medical staff terminal equipment is detected, feeding back each stored abnormal electrocardio segment to the medical staff terminal equipment.

Through adopting above-mentioned technical scheme, whether the electrocardiosignal to wearing personnel is unusual in order to detect the electrocardiosignal through utilizing intelligent bracelet real-time supervision and analysis, when wearing personnel's heartbeat in unusual, store unusual electrocardio fragment, when detecting to be connected with medical personnel terminal equipment, feed back the unusual electrocardio fragment of storage to medical personnel terminal equipment in, thereby medical personnel can diagnose the heart disease of this wearing personnel according to wearing personnel's unusual electrocardio fragment or can consult this unusual electrocardio fragment when diagnosing, thereby can improve doctor's efficiency when detecting wearing personnel's heart disease.

In a possible implementation manner, the processor is configured to determine an abnormal electrocardiographic fragment from the electrocardiographic signal when the heartbeat of the wearer is abnormal, and store the abnormal electrocardiographic fragment, specifically implement:

if the heartbeat of the wearer is abnormal, detecting whether the wearer is in a motion state during the abnormal heartbeat period;

if the person is not in the motion state, detecting whether the emotion of the person wearing the person is in a stable emotion state;

if the heart is in a stable emotion state, determining an abnormal electrocardio segment from the electrocardio signals, and storing the abnormal electrocardio segment.

Through adopting above-mentioned technical scheme, can be through detecting whether wear personnel are in motion state or wear personnel's emotion and be in steady emotion state when unusual to get rid of whether the abnormality is motion or emotion fluctuation and produce misjudgement, thereby make wear personnel's electrocardiosignal unusual, and unusual not belong to misjudgement, and unusual also when not belonging to wear personnel's misjudgement that emotion fluctuation produced, confirm unusual electrocardiosignal fragment from the electrocardiosignal again, store unusual electrocardiosignal fragment, be favorable to reducing the probability that produces the influence to medical staff's diagnosis because of the electrocardiosignal abnormality that motion and unfavorable emotion produced.

In another possible implementation manner, the processor is configured to, in implementing a process of detecting whether the person wearing the heart beat of the person wearing the heart beat is in a motion state during the heart beat abnormality, specifically implement:

when the heartbeat of the wearer is abnormal, acquiring an abnormal moment of the heartbeat abnormality of the wearer;

judging whether the abnormal time is in a preset rest time period or not based on the abnormal time;

and when the abnormal time is not in the preset rest time period, detecting whether the wearer is in a motion state during abnormal heartbeat.

By adopting the technical scheme, when detecting whether the wearing person is in a motion state, when the abnormal moment does not occur in a preset rest time period, detecting whether the wearing person is in the motion state during the abnormal heartbeat period, so that the motion state of the wearing person is judged at the moment when the wearing person is not at rest, and the probability of misjudgment of the motion state caused by the action of the wearing person during rest is reduced.

In another possible implementation manner, the processor is configured to, in implementing the process of detecting whether the wearer is in a motion state during the abnormal heartbeat, implement:

Acquiring arm vibration information of the wearer in the abnormal heartbeat period, wherein the arm vibration information is used for representing the change condition of the vibration amplitude of the arm of the wearer along with time;

determining vibration frequency according to the arm vibration information, wherein the vibration frequency is used for representing the occurrence frequency of a target moment, and the target moment is a moment when the vibration amplitude exceeds a preset vibration amplitude threshold value;

detecting whether the vibration frequency is larger than a preset frequency or not so as to detect whether the wearer is in a motion state during abnormal heartbeat.

By adopting the technical scheme, when detecting whether the wearing person is in a motion state, the vibration frequency of the arm during the abnormal heart beat is determined according to the vibration amplitude of the arm of the wearing person, so that whether the wearing person is in the motion state during the abnormal heart beat can be determined according to the vibration frequency, and the determination of the motion state is realized.

In another possible implementation, the processor is configured to, in implementing the detecting whether the emotion of the wearer is in a steady emotional state, implement:

acquiring emotion detection information, and determining whether the emotion of the wearer is in a stable emotion state according to the emotion detection information; or,

Acquiring emotion detection information, generating emotion prompt information based on the emotion detection information, and displaying the emotion prompt information; detecting whether a preset condition is met or not so as to detect whether the emotion of the wearer is in a stable emotion state, wherein the preset condition comprises receiving a stable feedback instruction which is input by the wearer and used for representing emotion stability in a preset time period.

By adopting the technical scheme, whether the emotion of the wearer is in a stable emotion state or not is detected, on one hand, the emotion of the wearer can be determined to be in the stable emotion state or not specifically through the obtained emotion detection information, on the other hand, after the emotion detection information is obtained, according to the stable feedback instruction fed back by the wearer, whether the emotion of the wearer is in the stable emotion state or not is determined, the emotion of the wearer is further determined through the feedback of the wearer, and the accuracy of determining the emotion of the wearer can be improved.

In another possible implementation, the processor is further configured to implement the following steps:

the intensity acquisition module is used for acquiring the exercise intensity level of the wearer when the wearer is detected to be in an exercise state during abnormal heart beat;

The intensity early warning module is used for generating intensity early warning information when the exercise intensity level exceeds a preset level, feeding the intensity early warning information back to the terminal equipment of the wearer, and the intensity early warning information is used for warning the current excessive exercise state of the wearer.

Through adopting above-mentioned technical scheme, when wearing personnel are in the motion state during the abnormal period of heart beat, when wearing personnel's motion intensity level surpassed the default level, the sign wearing personnel probably appears excessive motion, also probably causes heart disease to through generating intensity early warning information to the excessive motion that the early warning instruction wearing personnel probably appears, thereby be favorable to making wearing personnel can reduce motion range or stop the motion, and then reduce excessive motion and produce heart disease's probability.

In another possible implementation manner, the processor is configured to, in implementing the process of acquiring the exercise intensity level of the wearer, implement:

and determining the duration of the movement according to the arm vibration information, and determining and obtaining the movement intensity level of the wearer according to the duration of the movement.

By adopting the technical scheme, when the exercise intensity level of the wearer is obtained, the exercise duration can be determined through the arm vibration information, and the exercise intensity level of the wearer is determined and obtained according to the exercise duration, so that the exercise intensity level of the wearer is obtained.

In a second aspect, the present application provides an electrocardiograph signal detection method, which adopts the following technical scheme:

an electrocardiograph signal detection method, the method comprising:

collecting electrocardiosignals of a wearer;

when the heartbeat of the wearer is abnormal, determining an abnormal electrocardio segment from the electrocardio signal, and storing the abnormal electrocardio segment, wherein the abnormal electrocardio segment is a segment with abnormal central jump of the electrocardio signal;

In one possible implementation manner, if the heartbeat of the wearer is abnormal, determining an abnormal electrocardiographic segment from the electrocardiograph signal, and storing the abnormal electrocardiographic segment, including:

In another possible implementation manner, if the heartbeat of the wearer is abnormal, detecting whether the wearer is in a motion state during the abnormal heartbeat includes:

if the heartbeat of the wearer is abnormal, acquiring an abnormal moment of the heartbeat abnormality of the wearer;

if the abnormal time is not in the preset rest time period, detecting whether the wearer is in a motion state during abnormal heartbeat.

In another possible implementation manner, the detecting whether the wearer is in a motion state during the abnormal heartbeat includes:

determining vibration frequency according to the arm vibration information, wherein the vibration frequency is used for representing the occurrence frequency of a target moment, and the target moment is a moment when the vibration amplitude exceeds a preset vibration amplitude threshold value; detecting whether the vibration frequency is larger than a preset frequency or not so as to detect whether the wearer is in a motion state during abnormal heartbeat.

In another possible implementation manner, the detecting whether the emotion of the wearer is in a steady emotional state includes any one of the following:

acquiring emotion detection information, and determining whether the emotion of the wearer is in a stable emotion state according to the emotion detection information;

In another possible implementation, the method further includes:

if the fact that the wearer is in a motion state during abnormal heart beat is detected, acquiring the motion intensity level of the wearer;

if the exercise intensity level exceeds the preset level, intensity early warning information is generated and fed back to the terminal equipment of the wearer, and the intensity early warning information is used for warning the current excessive exercise state of the wearer.

In another possible implementation manner, the acquiring the exercise intensity level of the wearer includes:

In a third aspect, the present application provides an electrocardiograph signal detection device, which adopts the following technical scheme:

an electrocardiograph signal detection device, comprising:

the signal acquisition module is used for acquiring electrocardiosignals of the wearer;

the abnormality detection module is used for detecting whether the heartbeat of the wearer is abnormal or not according to the electrocardiosignal;

the segment determining module is used for determining an abnormal electrocardio segment from the electrocardio signal when the heartbeat of the wearer is abnormal, and storing the abnormal electrocardio segment, wherein the abnormal electrocardio segment is a segment with abnormal central jump of the electrocardio signal;

And the abnormal feedback module is used for feeding back each stored abnormal electrocardio segment to the medical staff terminal equipment when the connection with the medical staff terminal equipment is detected.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer-readable storage medium, comprising: a computer program capable of being loaded by a processor and executing the electrocardiographic signal detection method described above is stored.

In summary, the application at least comprises the following beneficial technical effects:

by utilizing the intelligent wristband to monitor and analyze the electrocardiosignals of the wearing person in real time to judge whether the electrocardiosignals are abnormal, when the heartbeat of the wearing person is abnormal, the abnormal electrocardiosignal segments are stored, and when the connection with the medical care person terminal equipment is detected, the stored abnormal electrocardiosignals are fed back to the medical care person terminal equipment, so that the medical care person can diagnose the heart diseases of the wearing person according to the abnormal electrocardiosignals of the wearing person or can refer to the abnormal electrocardiosignals in diagnosis, and the efficiency of a doctor in detecting the heart diseases of the wearing person can be improved.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent bracelet according to an embodiment of the present application;

FIG. 2 is a flow chart of an electrocardiograph signal detection method according to an embodiment of the present application;

FIG. 3 is a block diagram of an electrocardiograph signal detection device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of another smart band according to an embodiment of the present application.

Detailed Description

The application is described in further detail below with reference to fig. 1-4.

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The embodiment of the application provides an intelligent bracelet, which has the function of detecting electrocardiosignals of a wearer, the wearer is the person wearing the intelligent bracelet, and the electrocardiosignals are used for representing waveforms of potential differences at specific positions of a body surface, which change along with a cardiac cycle, and represent heartbeat fluctuation of the wearer. Wherein, as shown in fig. 1, the smart band comprises a processor, wherein the processor is configured to perform the steps shown in fig. 2, wherein:

Step S201, acquiring electrocardiosignals of a wearer.

Specifically, when personnel wear intelligent bracelet, the intelligent bracelet constantly monitors the heartbeat fluctuation of wearing personnel in order to real-time detection and gather wearing personnel's electrocardiosignal.

Step S202, detecting whether the heartbeat of the wearer is abnormal or not according to the electrocardiosignal.

Specifically, when the heart of the wearer is abnormal, for example, atrial fibrillation, the detected waveform of the potential difference generated by the heart of the wearer is different from the normal waveform, so that whether the heart of the wearer is abnormal or not can be judged by identifying the electrocardiosignal, that is, whether the heart of the wearer is abnormal or not at the current moment is judged.

The method for identifying whether the electrocardiosignals of the wearer are abnormal by using the electrocardiosignals of the wearer in the embodiment of the application is a technical means known to those skilled in the art, and is not described herein.

Step S203, if the heartbeat of the wearer is abnormal, determining an abnormal electrocardiograph fragment from the electrocardiograph signals, and storing the abnormal electrocardiograph fragment.

The abnormal electrocardiosignal segment is a segment with abnormal central jump of the electrocardiosignal.

Specifically, when the heartbeat abnormality of the wearer is detected, an abnormal electrocardiograph segment corresponding to the electrocardiograph abnormality is determined from electrocardiograph signals, for example, if the heartbeat abnormality occurs in 8:00-9:00 of the wearer, the electrocardiograph signal corresponding to 8:00-9:00 is used as the abnormal electrocardiograph segment, and the abnormal electrocardiograph segment is stored.

More specifically, when the abnormal cardiac cycle occurs, the wearing person usually occurs at some time, for example, an abnormality of an electrocardiographic signal occurs at each of the times 8:15, 8:30, 9:00, 14:00, and 14:30 on the same day, and when determining the abnormal electrocardiographic segment, the abnormal period corresponding to each abnormal cardiac cycle at each abnormal cardiac cycle may be determined according to the abnormal cardiac cycle occurrence time, and the segment of the electrocardiographic signal corresponding to the abnormal period corresponding to each abnormal cardiac cycle occurrence time may be determined as the abnormal electrocardiographic segment. For example, if the occurrence time of the abnormal heartbeat is 8:15, the electrocardiographic signals of 8:14 to 8:16 can be determined as abnormal electrocardiographic fragments.

And step S204, when the connection with the medical staff terminal equipment is detected, feeding back each stored abnormal electrocardio segment to the medical staff terminal equipment.

Specifically, the mode of detecting connection with the terminal device of the medical staff may specifically be that the smart band is connected with the terminal device, and whether the terminal device is the terminal device of the medical staff is identified. Specifically, when the connected terminal equipment is the terminal equipment of the medical staff, the identification judgment can be specifically performed by detecting whether an electrocardio data transmission instruction input by the wearing staff is received.

When detecting to be connected with medical personnel terminal equipment, feed back each unusual electrocardio fragment of storage to medical personnel terminal equipment to medical personnel can carry out preliminary diagnosis to wearing personnel's electrocardio disease according to each unusual electrocardio fragment that medical personnel terminal equipment received, in order to improve doctor to wearing personnel's heart disease's detection and discernment efficiency, and in time discover wearing personnel's heart problem.

The embodiment of the application provides an intelligent bracelet which monitors and analyzes electrocardiosignals of a wearer in real time to judge whether the electrocardiosignals are abnormal, stores abnormal electrocardiosignals when the heartbeat of the wearer is abnormal, feeds the stored abnormal electrocardiosignals back to medical staff terminal equipment when the connection with the medical staff terminal equipment is detected, so that the medical staff can diagnose the heart diseases of the wearer according to the abnormal electrocardiosignals of the wearer or can refer to the abnormal electrocardiosignals when diagnosing, and the efficiency of a doctor in detecting the heart diseases of the wearer can be improved.

In one possible implementation manner of the embodiment of the present application, in the implementation step S103, if the heartbeat of the wearer is abnormal, the smart band determines an abnormal electrocardiographic segment from the electrocardiographic signal, and stores the abnormal electrocardiographic segment, which may be specifically implemented in the process of the step of: if the heartbeat of the wearer is abnormal, detecting whether the wearer is in a motion state during the abnormal heartbeat period. If the person is not in the motion state, detecting whether the emotion of the person wearing the person is in a stable emotion state; if the heart is in a stable emotion state, an abnormal electrocardio segment is determined from the electrocardio signals, and the abnormal electrocardio segment is stored.

Specifically, in a period of time formed by the abnormal heart beat period and representing the abnormal heart, when the heart beat of the wearer is abnormal, on one hand, the wearer may be in running, walking, exercise and other exercise states, and when the wearer is in exercise states, the electrocardiosignals of the wearer will be affected, so that the detected waveform may be mistakenly considered as abnormal atrial fibrillation and the like, and the correct judgment of whether the heart is abnormal or not is affected.

Therefore, when detecting the abnormal heartbeat of the wearer, the abnormal heartbeat of the wearer needs to be removed, so that whether the wearer is in a moving state during the abnormal heartbeat period is detected, and when the wearer is in the moving state, the abnormal heartbeat representing the wearer is most likely to be caused by the movement of the wearer, and no abnormal early warning is performed.

The method for detecting whether the wearing person is in a motion state during the abnormal heart beat can be determined by detecting the motion steps of the wearing person through the intelligent bracelet, whether the wearing person is in the motion state during the abnormal heart beat can be determined by detecting whether sweat occurs to the wearing person through the intelligent bracelet, whether the wearing person is in the motion state can be determined jointly based on the detected motion steps and whether sweat occurs to the wearing person, and when the motion steps are increased and/or sweat occurs to the wearing person, the wearing person is characterized to be in the motion state.

In particular, when in motion, the characterization anomaly is most likely caused by the movement of the wearer; however, when not in a state of motion, the abnormality may also be caused by the wearer being in a drastic emotion such as laughing, crying, anger, etc., and therefore, it is also necessary to exclude whether it is caused by the emotion of the wearer. That is, when it is detected that the wearer is not in a moving state and that the heartbeat is abnormal, a false judgment caused by whether the heartbeat abnormality of the wearer is an emotion is determined by judging whether the emotion of the wearer is in a steady emotion state.

The method for detecting whether the emotion of the wearer is in a stable emotion state may specifically include: and obtaining emotion type information of the wearer, wherein the emotion type information is used for representing the type corresponding to the current emotion of the wearer, such as anger, cry, laugh, peace, mind and the like. According to the emotion type information, determining whether the emotion type information belongs to a stable emotion state or a drastic emotion state so as to determine whether the emotion of the wearer is in the stable emotion state.

The method for acquiring the emotion type information of the wearer can be specifically realized by acquiring the physiological data of the user, processing and analyzing the physiological data to acquire the emotion of the wearer, and determining the type corresponding to the emotion of the wearer according to the emotion of the wearer to acquire the emotion type information of the wearer. The physiological data of the user may specifically include data such as body temperature, skin moisture, size of body resistance, slope, and state duration change of the user.

Further, if the person is in a stable emotion state, the abnormal electrocardiosignals representing the person wearing the heart are not generated by motion, and are not generated by intense emotion of the person wearing the heart, namely, the electrocardiosignals of the person wearing the heart are extremely likely to be abnormal such as pathological changes of the heart, and the abnormal electrocardiosignals are presented, such as atrial fibrillation. At the moment, abnormal electrocardiographic fragments are determined from electrocardiographic signals, and the abnormal electrocardiographic fragments are stored, so that the probability of influencing the diagnosis of medical staff due to electrocardiographic abnormality caused by movement and adverse emotion is reduced.

Still further, if the system is in a stable emotion state, the system can also generate abnormal prompt information based on the abnormality of the electrocardiosignals of the wearer and feed the abnormal prompt information back to the terminal equipment of the wearer.

The terminal device of the wearer can be specifically a terminal device which performs information interaction with the smart band, for example, a terminal device connected with the smart band through bluetooth. The wearing person terminal device may also be other devices in communication connection with the terminal device for performing information interaction with the smart band, for example, the smart band is connected with the terminal device a through bluetooth, and performs information interaction, and the terminal device a is also in communication connection with the terminal device B, so that the wearing person terminal device may be the terminal device a or the terminal device B. When the wearing person terminal device is other devices such as the terminal device B, the abnormal prompt information can be sent to the terminal device A directly performing information interaction by the intelligent bracelet and sent to the terminal device B by the terminal device A so as to feed back the abnormal prompt information to the wearing person terminal device.

Specifically, when the wearing person is in a stable emotion state, in order to early warn the heart health of the wearing person so as to indicate the wearing person or the guardian of the wearing person, the heart of the wearing person is abnormal, and necessary measures are required to be checked and taken in time, so that the heart abnormality of the wearing person is prevented in time, and the body safety of the wearing person is improved.

In one possible implementation manner of the embodiment of the present application, in the foregoing embodiment, the smart bracelet is configured to perform, when a heartbeat of a wearer is abnormal, detection of whether the wearer is in a motion state during the abnormal heartbeat, and may specifically be implemented:

if the heartbeat of the wearer is abnormal, acquiring the abnormal moment of the heartbeat abnormality of the wearer. Based on the abnormal time, whether the abnormal time is in a preset rest time period is judged. If the abnormal time is not in the preset rest time period, detecting whether the wearer is in a motion state during abnormal heartbeat.

Specifically, in general, people often sleep at night, work and live in the daytime, or rest in the daytime, work and live at night. Therefore, when the wearing person has a rest and the electrocardiosignals are abnormal, the detection on whether the wearing person moves or not is not needed; for some periods of non-rest, it is necessary to determine whether the wearer is currently in motion.

When the heartbeat of the wearer is abnormal, acquiring the abnormal time of the heartbeat of the wearer, namely, the abnormal time, for example, when the heartbeat of the 12:00 wearer is abnormal, the abnormal time is 12:00.

In particular, in one possible implementation, the preset rest period may be a rest period determined in advance according to the work and rest period of the wearer. For example, the wearer sleeps 11 pm and gets up 7 am; the rest period may be the time from 11 pm to 7 am. In another possible implementation manner, the preset rest period may also be a rest period determined by taking the moment when the wearer starts to rest as the beginning and passing a preset rest duration, for example, the wearer starts to rest at 11 pm, and the preset rest duration is 8h, and the preset rest period is 11 pm to 7 am. The preset rest time length can be average time length according to each rest of the wearer.

When the abnormal moment is in a preset rest time period, the wearing person is represented to be in a motion state very small, and when the abnormal moment is not in the preset rest time period, the wearing person is represented to be in the motion state, and the possibility that the abnormal occurrence is caused by the motion of the wearing person is high.

Therefore, when the abnormal time is not in the preset rest time period, whether the wearer is in a motion state during the abnormal heartbeat period is detected. When the abnormal time is in the preset rest time period, the abnormal prompt information can be directly fed back to the terminal equipment of the wearer.

One possible implementation manner of the embodiment of the application is that the smart band is further used for implementing: if the abnormal moment is in the preset rest time period, detecting whether the emotion of the wearer is in a stable emotion state. When the system is in a stable emotion state, based on the abnormality of the electrocardiosignals of the wearer, generating abnormality prompt information and feeding the abnormality prompt information back to the terminal equipment of the wearer.

Specifically, when the abnormal moment is in a preset rest period, whether abnormal prompt is needed to the wearer or not can be determined by detecting whether the emotion of the wearer is in a stable emotion state.

More specifically, if the time of the abnormal heartbeat of the wearer is the time of the rest of the wearer and the emotion of the wearer is in a stable emotion state, the abnormal state of the electrocardiosignal representing the wearer is most likely to be the abnormal state caused by the heart disease of the wearer, and at the moment, abnormal prompt information is generated and fed back to the terminal equipment of the wearer so as to intervene when the heart of the wearer is abnormal in time.

Further, if the emotion of the wearer is not in a stable emotion state, the emotion of the wearer is represented to be more excited, and if the current moment is a moment of high occurrence of heart diseases, for example, 12 pm to 3 am, and the emotion of the wearer is represented to be more excited, the emotion of the wearer is represented to be in a resting time period and is excited, but the emotion of the wearer is very likely to cause problems of the heart of the wearer, so that when the emotion of the wearer is not in a stable emotion state and the abnormal moment of abnormal occurrence of the heart is a preset moment of high occurrence of diseases, emotion prompt information is generated to remind the wearer to pay attention to the fluctuation of the emotion, so that the wearer can timely adjust the bad emotion to reduce the risk of the wearer inducing the cardiovascular diseases due to the bad emotion.

In one possible implementation manner of the embodiment of the present application, in the foregoing embodiment, the smart band is configured to, in a process of implementing detection of whether a wearer is in a motion state during a heartbeat abnormality, specifically implement the following steps: arm vibration information of a person wearing the heart is acquired during a heart beat abnormal period. And determining the vibration frequency according to the arm vibration information. Detecting whether the vibration frequency is larger than a preset frequency or not so as to detect whether the wearer is in a motion state during abnormal heartbeat.

The arm vibration information is used for representing the change condition of the vibration amplitude of the arm of the wearer along with time. The vibration frequency is used for representing the occurrence frequency of a target moment, and the target moment is a moment when the vibration amplitude exceeds a preset vibration amplitude threshold value.

In particular, the arm vibration information may be a curve in a vibration amplitude-time coordinate system, the coordinates of each point on the curve being used to characterize the vibration amplitude at the corresponding moment.

Specifically, when the wearer is in a motion state during the abnormal heart beat, the arm of the wearer generally vibrates, or continuously vibrates, so when detecting whether the wearer is in a motion state during the abnormal heart beat, the vibration of the arm can be used for determining, that is, the vibration information of the arm of the wearer during the abnormal heart beat can be obtained for determining whether the wearer is in a motion state.

The method for acquiring arm vibration information of the wearer in the abnormal heartbeat period specifically comprises the following steps: the intelligent bracelet worn by the wearer is provided with a vibration sensor, the vibration amplitude of the arm of the wearer at any moment is detected by the vibration sensor, the arm vibration information is obtained according to the corresponding relation between the detected vibration amplitude and the moment, and the arm vibration information of the wearer in the abnormal heart beat period is determined according to the arm vibration information.

Specifically, when the vibration amplitude of the arm is smaller than the preset vibration amplitude threshold, the swing amplitude of the arm is small, and the arm is not in a motion state, and when the vibration amplitude of the arm is larger than the preset vibration amplitude threshold, the swing amplitude of the arm is large, and the arm is possibly in a motion state.

That is, when the heart beat is abnormal, the ratio of the time length of the arm with the vibration amplitude larger than the preset vibration amplitude threshold value to the total time length of the heart beat abnormal period is determined, the ratio is determined as the vibration frequency, the vibration frequency is used for representing the possibility that the person wearing the heart beat is in a motion state during the heart beat abnormal period, and the longer the time length of the arm with the vibration amplitude larger than the preset vibration amplitude threshold value is, the larger the possibility that the person wearing the heart beat abnormal period is in the motion state is represented.

Specifically, the preset frequency is a preset value, for example, the preset frequency is set to be 50%. And when the vibration frequency is not greater than the preset frequency, the wearing person is in a non-motion state, namely a resting state, during the abnormal heart beat. Therefore, the vibration frequency of the arm during the abnormal heart beat is determined according to the vibration amplitude of the arm of the wearer, and whether the wearer is in a motion state during the abnormal heart beat can be determined according to the vibration frequency, so that the motion state is determined.

In one possible implementation manner of the embodiment of the present application, in the foregoing embodiment, the smart bracelet is configured to, in a process of implementing detection of whether an emotion of a wearer is in a steady emotion state, implement the following steps of a first mode and a second mode, where:

mode one: and acquiring emotion detection information, and detecting whether the emotion of the wearer is in a stable emotion state according to the emotion detection information.

The emotion detection information is used for representing detected emotion of the wearer.

Specifically, the emotion detection information may be an emotion state determined by the smart band from the acquired physiological data and the processing analysis. The emotion detection information includes crying, laughing, anger, agitation, and peace of mind. When the emotion detection information corresponds to the intense states such as crying, laughing, anger and agitation, the emotion of the wearer is not in a stable emotion state, and when the emotion detection information corresponds to the peace state, the emotion of the wearer is in a stable emotion state.

Mode two: acquiring emotion detection information, generating emotion prompt information based on the emotion detection information, and displaying the emotion prompt information; detecting whether a preset condition is met or not to detect whether the emotion of the wearer is in a stable emotion state or not, wherein the preset condition comprises receiving a stable feedback instruction which is input by the wearer and used for representing the emotion stability in a preset time period.

Specifically, whether the emotion of the wearer is in a stable emotion state is detected, emotion prompt information can be generated according to the emotion detection information to prompt whether the emotion of the wearer is stable, and whether the emotion of the wearer is in a stable state is detected according to whether the wearer inputs a stable feedback instruction.

More specifically, the emotion-prompting information is used for inquiring whether the emotion state of the wearer is a stable emotion state, when the emotion-prompting information is generated based on the emotion detection information, when the corresponding emotion in the obtained emotion detection information is a non-stable emotion state, the emotion-prompting information is generated to prompt the wearer whether the current emotion is the stable emotion state, when the input of the wearer is yes, the condition that the stable feedback instruction is received is characterized, namely, the condition that the emotion of the wearer is met is characterized as the stable emotion state, and when the wearer does not input the option of yes in the preset time period, for example, whether the wearer inputs or the wearer does not input the emotion in the preset time period, the emotion of the wearer is characterized as the non-stable state.

Further, in a possible implementation manner of the embodiment of the present application, a manner of detecting whether the emotion of the wearer is in a steady emotional state may further include: when the emotion detection information is acquired, prompt information is generated according to the emotion detection information and fed back to the terminal equipment of the wearer, and whether the emotion of the wearer is in a stable emotion state is determined according to the detected feedback instruction of the wearer, the prompt information and the emotion detection information. The prompt information generated at this time may specifically include asking the wearer if the current emotion is a detected emotion.

More specifically, the manner of determining whether the emotion of the wearer is in a steady emotional state according to the feedback instruction, the prompt information, and the emotion detection information may include: if the feedback instruction is not received within the preset time period, determining whether the emotion of the wearer is in a stable emotion state or not according to the emotion detection information. For example, when the emotion detection information is a steady emotional state, the emotion of the wearer is characterized as a steady emotional state. If the feedback instruction is received within the preset time period, determining whether the emotion of the wearer is in a stable emotion state or not based on the feedback instruction and the prompt information. More specifically, when the emotion detection information corresponds to a non-steady emotion state, if the wearer selects yes in a preset time period, detecting that a feedback instruction of the wearer is a first feedback instruction, and representing that the emotion of the wearer is in the non-steady state; if the wearer selects no in the preset time, the feedback instruction of the wearer is a second feedback instruction, namely the emotion of the wearer is represented to be in a stable emotion state, and if the feedback instruction of the wearer is not received in the preset time, the emotion of the wearer is represented to be in a non-stable state. When the emotion detection information corresponds to a steady emotion state, if the wearer selects yes in the preset time period, the emotion of the wearer is represented to be in the steady emotion state, if the wearer selects no in the preset time period, the emotion of the wearer is represented to be in a non-steady emotion state, and if the feedback instruction of the wearer is not received in the preset time period, the emotion of the wearer is represented to be in the steady emotion state.

One possible implementation manner of the embodiment of the application is that the smart band is further used for implementing:

and if the wearer is detected to be in a motion state during abnormal heartbeat, acquiring the motion intensity level of the wearer. If the exercise intensity level exceeds the preset level, intensity early warning information is generated and fed back to the terminal equipment of the wearer, and the intensity early warning information is used for indicating current excessive exercise of the wearer.

Specifically, when the wearer is in a motion state, excessive motion of the wearer may also cause an emergency to occur in the heart of the wearer, so that a great abnormality occurs in the electrocardiographic signal of the wearer. Therefore, when detecting that the wearer is in a motion state during abnormal heart beat, the method can judge whether the motion intensity level of the wearer exceeds the preset level according to the motion intensity level of the wearer. The preset level is used for representing the exercise intensity level corresponding to the normal exercise intensity, and the preset level can be specifically preset, or can be the exercise intensity level determined in advance according to the historical exercise condition of the wearer.

The higher the exercise intensity level, the greater the exercise intensity of the wearer. When the exercise intensity level of the wearer does not exceed the preset level, the normal exercise intensity of the wearer is represented, and when the exercise intensity level of the wearer exceeds the preset level, the wearer is represented to have high possibility of excessive exercise at the moment, so that the heartbeat of the wearer is too strong, and the abnormal heartbeat of the wearer is very likely to be abnormal due to excessive exercise.

Therefore, when the wearing person is in a motion state during abnormal heart beat, if the intensity pre-warning information is generated and fed back to the wearing person terminal equipment to prompt the wearing person that the current motion intensity is too high, specifically, when the intensity pre-warning information is fed back to the wearing person terminal equipment, the electrocardiosignal corresponding to the current moment is also fed back to the wearing person terminal equipment, so that the wearing person can reduce the motion amplitude or stop motion, and further the probability of heart diseases caused by excessive motion is reduced.

In one possible implementation manner of the embodiment of the present application, in the foregoing embodiment, the smart band is configured to, when acquiring a exercise intensity level of a wearer, specifically: and determining the duration of the movement according to the arm vibration information, and determining and obtaining the movement intensity level of the wearer according to the duration of the movement.

Specifically, in general, the longer the duration of movement of the wearer, i.e., the greater the intensity of movement of the wearer, the less the duration of movement of the wearer, the less the intensity of movement of the wearer.

That is, when the exercise duration is longer, the exercise intensity level of the wearer is represented to be higher, specifically, when the exercise intensity level of the wearer is determined, it may be determined according to a preset correspondence relationship between the exercise duration and the exercise intensity level. For example, the motion duration is 0 to 1h, the corresponding motion intensity level is 1 level, the corresponding motion intensity level is 2 level, and the like.

The method for determining the motion duration time according to the arm vibration information can specifically determine a target time according to the arm vibration information, wherein the target time is a time when the arm vibration amplitude exceeds a preset vibration amplitude threshold value, the motion starting time is determined according to each target time, and the duration time between the motion starting time and the current time is determined as the motion duration time. When determining the starting moment of the movement, the method can be specifically implemented by: if the interval duration between any two adjacent target moments exceeds the preset interval duration, determining the adjacent target moments as target movement initial moments, determining the target movement initial moment with the smallest time interval with the current moment from all target movement initial moments, and taking the determined moment as movement initial moment.

In addition, the exercise intensity of the wearer may be related to the exercise amplitude of the wearer, and when the exercise time of the wearer is the same, the exercise intensity corresponding to the bicycle riding by the wearer in the fast running process also varies, so in the above embodiment, determining and obtaining the exercise intensity level of the wearer according to the exercise duration includes: and determining an arm vibration amplitude average value according to the arm vibration information of the wearer during the abnormal heart beat. And determining the exercise intensity level of the wearer according to the average value of the arm vibration amplitude and the duration of the exercise.

Specifically, the average value of the vibration amplitude of the arm is the average value of the vibration amplitude of the arm of the wearer during the heart beat abnormality, and is used for representing the movement amplitude level of the wearer during the heart beat abnormality.

More specifically, according to arm vibration information of the wearer during the abnormal heart beat, the manner of determining the average value of the arm vibration amplitude may specifically include determining the amplitude of the arm vibration of the wearer during the abnormal heart beat at intervals of a preset time, where the preset time interval may be 5 seconds, 10 seconds, and the like; and calculating the average value of the vibration amplitude of the arm to determine the average value of the vibration amplitude of the arm.

Specifically, when determining the exercise intensity level, different arm vibration amplitude averages correspond to different correspondence between the duration of exercise and the exercise intensity level. For example, when the average value of the arm vibration amplitude corresponds to the first interval, the corresponding relationship between the motion duration and the motion intensity level is the corresponding relationship a, and when the average value of the arm vibration amplitude corresponds to the second interval, the corresponding relationship between the motion duration and the motion intensity level is the corresponding relationship B.

When the exercise intensity level is determined, the corresponding relation between the exercise duration and the exercise intensity level is determined according to the average value of the arm vibration amplitude, and then the exercise intensity level of the wearer is determined according to the corresponding relation and the exercise duration.

The above embodiment describes an intelligent bracelet from the perspective of entity equipment, and the following embodiment describes an electrocardiosignal detection method from the perspective of method flow, and the following embodiment is specifically described.

Referring to fig. 2, an electrocardiograph signal detection method is performed by a smart band, the method comprising:

step S201, acquiring electrocardiosignals of a wearer.

Specifically, whether the electrocardiosignals of the wearing person are abnormal or not is detected by utilizing the intelligent bracelet to monitor and analyze the electrocardiosignals in real time, when the heartbeat of the wearing person is abnormal, abnormal electrocardiosignal segments are stored, and when the connection with the medical care person terminal equipment is detected, the stored abnormal electrocardiosignal segments are fed back to the medical care person terminal equipment, so that the medical care person can diagnose the heart diseases of the wearing person according to the abnormal electrocardiosignal segments of the wearing person or can refer to the abnormal electrocardiosignal segments in diagnosis, and the efficiency of a doctor in detecting the heart diseases of the wearing person can be improved.

In a possible implementation manner of the embodiment of the present application, in step S203, if a heartbeat of a wearer is abnormal, an abnormal electrocardiographic segment is determined from electrocardiographic signals, and the abnormal electrocardiographic segment is stored, including:

if the heart is in a stable emotion state, an abnormal electrocardio segment is determined from the electrocardio signals, and the abnormal electrocardio segment is stored.

In one possible implementation manner of the embodiment of the present application, if a heartbeat of a wearer is abnormal, detecting whether the wearer is in a motion state during the abnormal heartbeat includes:

In one possible implementation manner of the embodiment of the present application, detecting whether a wearer is in a motion state during abnormal heartbeat includes:

Acquiring arm vibration information of a person wearing the heart beat in an abnormal period, wherein the arm vibration information is used for representing the change condition of the vibration amplitude of the arm of the person wearing the heart beat along with time;

according to the arm vibration information, determining a vibration frequency, wherein the vibration frequency is used for representing the occurrence frequency of a target moment, and the target moment is a moment when the vibration amplitude exceeds a preset vibration amplitude threshold value; detecting whether the vibration frequency is larger than a preset frequency or not so as to detect whether the wearer is in a motion state during abnormal heartbeat.

In one possible implementation manner of the embodiment of the present application, detecting whether the emotion of the wearer is in a stable emotional state includes any one of the following:

acquiring emotion detection information, generating emotion prompt information based on the emotion detection information, and displaying the emotion prompt information; detecting whether a preset condition is met or not to detect whether the emotion of the wearer is in a stable emotion state or not, wherein the preset condition comprises receiving a stable feedback instruction which is input by the wearer and used for representing the emotion stability in a preset time period.

In one possible implementation manner of the embodiment of the present application, the method further includes:

In one possible implementation manner of the embodiment of the present application, obtaining a exercise intensity level of a wearer includes:

It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the flow and process of the method described above may refer to the corresponding process in the embodiment of the apparatus described above, which is not described herein again.

The foregoing embodiment describes an electrocardiograph signal detection method from the aspect of a method flow, and the following embodiment describes an electrocardiograph signal detection device from the aspect of a virtual module, specifically the following embodiment.

Referring to fig. 3, an electrocardiograph signal detection device 300, the device 300 includes:

The signal acquisition module 301 is used for acquiring electrocardiosignals of a wearer;

the abnormality detection module 302 is configured to detect whether the heartbeat of the wearer is abnormal according to the electrocardiograph signal;

the segment determining module 303 is configured to determine an abnormal electrocardiographic segment from the electrocardiograph signal if the heartbeat of the wearer is abnormal, and store the abnormal electrocardiographic segment;

the abnormal electrocardiosignal segment is a segment with abnormal central jump of the electrocardiosignal;

the abnormal feedback module 304 is configured to, when detecting connection with the medical staff terminal device, feed back each stored abnormal electrocardiographic segment to the medical staff terminal device.

In one possible implementation manner of the embodiment of the present application, when the heartbeat of the wearer is abnormal, the segment determining module 303 determines an abnormal electrocardiographic segment from the electrocardiograph signal, and stores the abnormal electrocardiographic segment, the segment determining module is specifically configured to:

In one possible implementation manner of the embodiment of the present application, when the heartbeat of the wearer is abnormal, the segment determining module 303 detects whether the wearer is in a motion state during the abnormal heartbeat, and is specifically configured to:

In one possible implementation manner of the embodiment of the present application, the segment determining module 303 is specifically configured to, when detecting whether the wearer is in a motion state during a heartbeat abnormality:

In one possible implementation manner of the embodiment of the present application, the segment determining module 303 is specifically configured to, when detecting whether the emotion of the wearer is in a steady emotion state:

In one possible implementation manner of the embodiment of the present application, the apparatus 300 further includes:

The intensity level acquisition module is used for acquiring the exercise intensity level of the wearer if the wearer is detected to be in a motion state during abnormal heart beat;

the intensity early warning module is used for generating intensity early warning information if the exercise intensity level exceeds a preset level, feeding the intensity early warning information back to the terminal equipment of the wearer, and warning the current excessive exercise state of the wearer according to the intensity early warning information.

In one possible implementation manner of the embodiment of the present application, when the intensity level obtaining module obtains the exercise intensity level of the wearer, the intensity level obtaining module is specifically configured to:

The embodiment of the present application also describes a smart band from the perspective of a physical device, as shown in fig. 4, the smart band 400 shown in fig. 4 includes: a processor 401 and a memory 403. Processor 401 is connected to memory 403, such as via bus 402. Optionally, the smart band 400 may also include a transceiver 404. It should be noted that, in practical applications, the transceiver 404 is not limited to one, and the structure of the smart band 400 is not limited to the embodiment of the present application.

The processor 401 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 401 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 402 may include a path to transfer information between the components. Bus 402 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or EISA (Extended Industry Standard Architecture ) bus, among others. Bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 4, but not only one bus or one type of bus.

The Memory 403 may be, but is not limited to, a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory ), a CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 403 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 401. The processor 401 is arranged to execute application code stored in the memory 403 for implementing what is shown in the foregoing method embodiments.

Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above. In the embodiment of the application, the electrocardiosignals of the wearer are monitored and analyzed in real time by utilizing the intelligent bracelet to detect whether the electrocardiosignals are abnormal, when the heartbeat of the wearer is abnormal, the abnormal electrocardiosignals are stored, and when the connection with the terminal equipment of the medical staff is detected, the stored abnormal electrocardiosignals are fed back to the terminal equipment of the medical staff, so that the medical staff can diagnose the heart diseases of the wearer according to the abnormal electrocardiosignals of the wearer or can refer to the abnormal electrocardiosignals in diagnosis, and the efficiency of a doctor in detecting the heart diseases of the wearer can be improved.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.

Claims

1. An intelligent bracelet, characterized in that, this intelligent bracelet includes:

a processor configured to perform the operations of:

Collecting electrocardiosignals of a wearer;

2. The smart wristband according to claim 1, wherein the processor is configured to, in implementing the process of determining an abnormal electrocardiographic segment from the electrocardiographic signal and storing the abnormal electrocardiographic segment when the heartbeat of the wearer is abnormal, specifically implement:

3. The smart bracelet according to claim 2, wherein the processor is configured to, in implementing a process of detecting whether a person wearing a heart beat abnormality is in a motion state during the heart beat abnormality, implement:

4. A smart wristband according to claim 2 or 3, wherein the processor is configured to, in effecting detection of whether the wearer is in motion during a heartbeat anomaly, in:

5. The smart wristband according to claim 2, wherein the processor is configured to, in effecting the detection of whether the wearer's emotion is in a steady emotional state, in particular:

6. The smart bracelet of claim 2, wherein the processor is further configured to implement the steps of:

7. The smart bracelet of claim 6, wherein the processor, in being configured to implement, in acquiring a athletic intensity level of a wearer, is to:

8. An electrocardiographic signal detection method, characterized by being performed by a smart bracelet, the method comprising:

collecting electrocardiosignals of a wearer;

9. An electrocardiograph signal detection device, characterized in that the device comprises:

the abnormality judgment module is used for detecting whether the heartbeat of the wearer is abnormal or not according to the electrocardiosignal;

10. A computer-readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed in a computer, causes the computer to perform the electrocardiographic signal detection method according to claim 8.