CN113057651A - Data sending method and device, data acquisition device and storage medium - Google Patents
Data sending method and device, data acquisition device and storage medium Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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Abstract
The application discloses a data sending method, a data sending device, a data collector and a storage medium, and belongs to the technical field of medical treatment. The method comprises the following steps: acquiring electrocardiosignals of a human body based on a lead electrode connected with a data acquisition unit; analyzing and processing the electrocardiosignals to obtain analysis and processing results corresponding to the electrocardiosignals, wherein the analysis and processing results are used for indicating whether the electrocardiosignals are abnormal and the abnormal types; and sending the electrocardiosignals and the analysis processing result to the data processing equipment. The data acquisition device provided by the embodiment of the application has an electrocardiosignal analysis function, can acquire electrocardiosignals of a human body through the lead electrodes, analyzes and processes the acquired electrocardiosignals to obtain and send analysis and processing results, does not need a user to go to a hospital for electrocardio monitoring, does not need an electrocardio monitor to directly monitor the electrocardio of the human body, has good flexibility, has a signal processing function, can analyze and process the electrocardiosignals without manual work, and has high processing efficiency.
Description
Technical Field
The present application relates to the field of medical technology, and in particular, to a data transmission method, an apparatus, a data collector, and a storage medium.
Background
The electrocardiogram monitoring is an examination means for diagnosing cardiovascular diseases, carries out real-time electrocardiogram monitoring on users to find the abnormal change of the electrocardiogram in time, and has important significance for preventing and treating the cardiovascular diseases.
In the related art, users usually use an electrocardiograph to perform electrocardiographic measurement, for example, when the users intend to perform electrocardiographic measurement, they need to go to a hospital, and a professional medical staff operates the electrocardiograph to perform measurement. The specific measurement process can be that a user can lie on a hospital bed, medical personnel paste each lead electrode of the electrocardio monitor at the human body lead position of the user in a one-to-one correspondence manner, and the electrocardio monitor can acquire electrocardio signals through the lead electrodes.
In the course of implementing the present application, the inventors found that the related art has at least the following problems:
when the electrocardio monitor is used, a user is required to go to a hospital bed, a lead electrode of the electrocardio monitor is connected to the user by medical personnel, the electrocardio monitor directly collects electrocardiosignals of the human body and processes the electrocardiosignals, the electrocardio monitor is large in limitation of use and poor in flexibility, and when the electrocardiosignals of the user are subjected to abnormal analysis, the electrocardiosignals collected by the electrocardio monitor need to be manually analyzed based on medical experience, and the processing efficiency is poor.
Disclosure of Invention
The embodiment of the application provides a data sending method, a data sending device, a data collector and a storage medium, which can solve the problems in the related art. The technical scheme is as follows:
according to an embodiment of the present application, a data sending method is provided, which is applied to a data collector, and the method includes:
acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit;
analyzing and processing the electrocardiosignals to obtain an analysis and processing result corresponding to the electrocardiosignals, wherein the analysis and processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type;
and sending the electrocardiosignal and the analysis processing result to data processing equipment.
Optionally, the analyzing and processing the electrocardiographic signal to obtain an analysis and processing result corresponding to the electrocardiographic signal includes:
filtering the electrocardiosignals;
positioning the electrocardiosignals after filtering processing to obtain a positioning result of the QRS waves of the electrocardiosignals;
and carrying out electrocardio abnormity analysis on the electrocardiosignals based on the positioning result of the QRS wave to obtain the analysis processing result of the electrocardiosignals.
Optionally, the performing an abnormal cardiac electrical analysis on the cardiac electrical signal based on the positioning result of the QRS wave to obtain an analysis processing result of the cardiac electrical signal, where the analysis processing result includes at least one of:
performing heart rate analysis on the electrocardiosignals based on the positioning result of the QRS waves to obtain a first analysis processing result of the electrocardiosignals, wherein the first analysis processing result is used for indicating whether the heart rate of the electrocardiosignals is normal or not and indicating the abnormal type when the heart rate is abnormal;
and analyzing the ST wave band of the electrocardiosignals based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignals, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
Optionally, the performing, based on the positioning result of the QRS wave, an analysis of an electrocardiographic abnormality on the electrocardiographic signal to obtain an analysis processing result of the electrocardiographic signal includes:
and inputting the electrocardiosignals and the positioning result of the QRS waves into an electrocardio analysis model, carrying out abnormal analysis on the electrocardiosignals by the electrocardio analysis model, and outputting the analysis processing result of the electrocardiosignals.
Optionally, after the inputting the electrocardiographic signal and the positioning result of the QRS wave into the electrocardiographic analysis model, the method further includes:
and processing the electrocardiosignals by the electrocardio analysis model according to the target noise level to obtain the electrocardiosignals without the noise corresponding to the target noise level.
Optionally, the analyzing and processing the electrocardiographic signal to obtain an analysis and processing result corresponding to the electrocardiographic signal includes:
analyzing and processing the electrocardiosignals acquired in real time to obtain an analysis and processing result corresponding to the electrocardiosignals at each moment;
counting analysis processing results corresponding to the electrocardiosignals at a plurality of moments;
and determining analysis processing results corresponding to the electrocardiosignals at the multiple moments according to the statistical result.
Optionally, the method further comprises:
acquiring a voice signal of a user according to the voice acquisition instruction;
and synchronously sending the voice signal, the electrocardiosignal and the analysis processing result to the data processing equipment.
Optionally, the data processing device is a device installed with an electrocardiographic processing application, or the data processing device is a device used in a medical institution for processing electrocardiographic signals.
According to an embodiment of the present application, there is provided a data transmission apparatus, including:
the acquisition module is used for acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit;
the processing module is used for analyzing and processing the electrocardiosignals to obtain an analysis processing result corresponding to the electrocardiosignals, and the analysis processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type;
and the sending module is used for sending the electrocardiosignals and the analysis processing result to data processing equipment.
Optionally, the processing module is configured to:
filtering the electrocardiosignals;
positioning the electrocardiosignals after filtering processing to obtain a positioning result of the QRS waves of the electrocardiosignals;
and carrying out electrocardio abnormity analysis on the electrocardiosignals based on the positioning result of the QRS wave to obtain the analysis processing result of the electrocardiosignals.
Optionally, the processing module is configured to perform at least one of:
performing heart rate analysis on the electrocardiosignals based on the positioning result of the QRS waves to obtain a first analysis processing result of the electrocardiosignals, wherein the first analysis processing result is used for indicating whether the heart rate of the electrocardiosignals is normal or not and indicating the abnormal type when the heart rate is abnormal;
and analyzing the ST wave band of the electrocardiosignals based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignals, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
Optionally, the processing module is configured to:
and inputting the electrocardiosignals and the positioning result of the QRS waves into an electrocardio analysis model, carrying out abnormal analysis on the electrocardiosignals by the electrocardio analysis model, and outputting the analysis processing result of the electrocardiosignals.
Optionally, the processing module is further configured to process, by the electrocardiograph analysis model, the electrocardiograph signal according to a target noise level, so as to obtain the electrocardiograph signal from which the noise corresponding to the target noise level is removed.
Optionally, the processing module is configured to:
analyzing and processing the electrocardiosignals acquired in real time to obtain an analysis and processing result corresponding to the electrocardiosignals at each moment;
counting analysis processing results corresponding to the electrocardiosignals at a plurality of moments;
and determining analysis processing results corresponding to the electrocardiosignals at the multiple moments according to the statistical result.
Optionally, the method further comprises:
the acquisition module is also used for acquiring a voice signal of a user according to the voice acquisition instruction;
the sending module is further configured to synchronously send the voice signal, the electrocardiographic signal, and the analysis processing result to the data processing device.
Optionally, the data processing device is a device installed with an electrocardiographic processing application, or the data processing device is a device used in a medical institution for processing electrocardiographic signals.
According to an embodiment of the present application, a data collector is provided, where the data collector includes a memory and a transmitter, and at least one instruction is stored in the one or more memories, and when the instruction is executed, the instruction implements an operation performed by the data transmitting method.
According to an embodiment of the present application, a storage medium is provided, where at least one instruction is stored, and when executed, the instruction implements an operation performed by the data transmission method.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the data acquisition device provided by the embodiment of the application has an electrocardiosignal analysis function, can acquire the electrocardiosignal of a human body through the lead electrode, and analyze and process the acquired electrocardiosignal to obtain an analysis and processing result, so that the electrocardiosignal and the analysis and processing result are sent to the data processing equipment, and a user is not required to go to a hospital for electrocardio monitoring, and the electrocardio monitoring instrument is not required to directly monitor the electrocardio of the human body.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a data transmission method according to an embodiment of the present application.
Fig. 2 is a flowchart of a data transmission method according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a data transmission apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a data collector provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a data sending method provided in an embodiment of the present application, where the method is applied to a data collector, and referring to fig. 1, the method includes:
101. and acquiring electrocardiosignals of the human body based on the lead electrodes connected with the data acquisition unit.
102. And analyzing and processing the electrocardiosignals to obtain an analysis and processing result corresponding to the electrocardiosignals, wherein the analysis and processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type.
103. And sending the electrocardiosignal and the analysis processing result to data processing equipment.
Optionally, the analyzing and processing the electrocardiographic signal to obtain an analysis and processing result corresponding to the electrocardiographic signal includes:
filtering the electrocardiosignal;
positioning the electrocardiosignals after filtering processing to obtain a positioning result of the QRS waves of the electrocardiosignals;
and carrying out electrocardio abnormity analysis on the electrocardiosignals based on the positioning result of the QRS wave to obtain the analysis processing result of the electrocardiosignals.
Optionally, the performing an abnormal cardiac electrical analysis on the cardiac electrical signal based on the positioning result of the QRS wave to obtain an analysis processing result of the cardiac electrical signal, where the analysis processing result includes at least one of:
based on the positioning result of the QRS wave, performing rhythm analysis on the electrocardiosignal to obtain a first analysis processing result of the electrocardiosignal, wherein the first analysis processing result is used for indicating whether the rhythm of the electrocardiosignal is normal or not and indicating the abnormal type when the rhythm is abnormal;
and analyzing the ST wave band of the electrocardiosignal based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignal, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
Optionally, the performing an abnormal cardiac electrical analysis on the cardiac electrical signal based on the positioning result of the QRS wave to obtain an analysis processing result of the cardiac electrical signal includes:
and inputting the electrocardiosignal and the positioning result of the QRS wave into an electrocardio analysis model, carrying out abnormal analysis on the electrocardiosignal by the electrocardio analysis model, and outputting the analysis processing result of the electrocardiosignal.
Optionally, after the positioning result of the electrocardiographic signal and the QRS wave is input into the electrocardiographic analysis model, the method further includes:
and processing the electrocardiosignals by the electrocardio analysis model according to the target noise level to obtain the electrocardiosignals without the noise corresponding to the target noise level.
Optionally, the analyzing and processing the electrocardiographic signal to obtain an analysis and processing result corresponding to the electrocardiographic signal includes:
analyzing and processing the electrocardiosignals acquired in real time to obtain an analysis and processing result corresponding to the electrocardiosignals at each moment;
counting analysis processing results corresponding to the electrocardiosignals at a plurality of moments;
and determining analysis processing results corresponding to the electrocardiosignals at the multiple moments according to the statistical result.
Optionally, the method further comprises:
acquiring a voice signal of a user according to the voice acquisition instruction;
and synchronously sending the voice signal, the electrocardiosignal and the analysis processing result to the data processing equipment.
Optionally, the data processing device is a device installed with an electrocardiographic processing application, or the data processing device is a device used in a medical institution for processing electrocardiographic signals.
According to the data sending method, the data acquisition unit can send the acquired electrocardiosignals to the data processing equipment, and the data acquisition unit also has an electrocardiosignal processing function and can analyze and process the electrocardiosignals and further send analysis and processing results. The signal transmission process of the data collector is explained in detail by the embodiment shown in fig. 2.
201. And the data acquisition unit is in communication connection with the data processing equipment.
In the embodiment of the present application, the data collector may have a data collecting function, a data processing function, and a data transmitting function. The data acquisition unit can acquire electrocardiosignals of a human body and analyze and process the acquired electrocardiosignals, so that the electrocardiosignals and analysis and processing results are sent to the data processing equipment. In this process, the data collector may first establish a communication connection with the data processing device.
For the data processing device, in one possible implementation, the data processing device may be a device installed with an electrocardiographic processing application. For example, the data processing device may be a terminal such as a smart phone, a tablet computer, or a computer, and the terminal may be installed with an electrocardiographic processing application, so that the data acquisition device may establish a communication connection with the data processing device to transmit an electrocardiographic signal.
In another possible implementation, the data processing device may be a device used in a medical institution for processing cardiac electrical signals. For example, the data processing device may be an electrocardiograph monitor in a hospital, a server for processing an electrocardiograph signal in a hospital, a terminal in an intracardiac department or a cardiac surgery department in a hospital, or the like, which is not limited in the embodiment of the present application. The data acquisition device is in communication connection with the data processing device, so that electrocardiosignals can be transmitted, and medical personnel can acquire the electrocardio condition of a user according to the electrocardiosignals.
Specifically, the communication connection mode between the data collector and the data processor may include multiple types, for example, the data collector may be connected to the data processor through a wireless network, the data collector may also be connected to the data processor through bluetooth, of course, the data collector may also be connected to the data processor through a data line, and the communication connection mode is not limited in this embodiment of the present application.
Based on the difference of the communication connection modes, the process of establishing the communication connection between the data acquisition unit and the data processor can be different. The method comprises the following specific steps:
in the above manner of connecting with the data processor through the wireless network, the data acquisition device may send a connection request to the data processor, the data processor checks the data acquisition device, and when the check is passed, the data acquisition device sends a check pass to the data acquisition device, and then a communication connection is established between the data acquisition device and the data processor, so as to facilitate data interaction.
In the above-mentioned mode of connecting through the bluetooth, data collection station and data processor can open the bluetooth function, and the user can select this data collection station in data processor's bluetooth matching list, and then, this data processor sends bluetooth matching request to this data collection station, and this user confirms the operation in data collection station, and data collection station sends the successful response of matching to data processor, and then the two can establish communication connection. Of course, the user may also operate on the data collector, and then the data collector sends a bluetooth matching request to the data processor, and the data processor sends a matching success response to the data collector.
In the above manner of connection via a data line, the data acquisition device and the data processor may perform interface adaptation, and specifically, the data acquisition device may write parameters of a transmission interface of the data acquisition device into the data processor, so as to transmit electrocardiographic data via the transmission interface with the data processor.
202. The data acquisition unit is used for acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit.
The data acquisition unit can be connected with a lead electrode, and the lead electrode is used for carrying out electrocardio detection on the lead position of a human body to obtain electrocardiosignals.
For the process of collecting the electrocardiosignals of the human body by the data collector, in a possible implementation mode, the data collector can collect the electrocardiosignals of the human body in real time. For example, when the lead electrode acquires an electrocardiographic signal, the data acquisition unit acquires the electrocardiographic signal of the human body in real time based on the lead electrode.
In another possible implementation manner, the data acquisition unit acquires electrocardiosignals of the human body, wherein the electrocardiosignals can be acquired periodically. For example, the data collector may collect the electrocardiographic signal of the human body every 100 milliseconds (ms), and of course, the period value is only an exemplary illustration and does not limit the collection period of the electrocardiographic signal.
In a specific possible embodiment, the lead electrode may be mounted on an electrocardiograph monitoring garment, and the data acquisition unit may be connected to the lead electrode through a lead wire. After the lead electrode collects electrocardiosignals of a human body, the electrocardiosignals can be transmitted to the data acquisition unit through the lead wire, and then the data acquisition unit can collect the electrocardiosignals of the human body. Of course, the lead electrode can also be directly fixed on the lead position of the human body, and the embodiment of the application is not limited to this.
In a specific possible embodiment, the data acquisition device may also be mounted on the electrocardiograph monitoring garment, for example, a lead wire on the electrocardiograph monitoring garment may be received in a plug, and the data acquisition device may be provided with a multimedia interface, and the plug is inserted in the multimedia interface, so that the data acquisition device can receive the electrocardiograph signals acquired by the lead electrode based on the multimedia interface. Certainly, the position department of this plug installation on this electrocardio monitoring clothing can also be provided with and accomodate the bag, and this data collection station can be placed in this accomodates the bag like this to make the user can remove more conveniently, do not hinder user's daily behavior completely.
In a possible implementation manner, one or more indicator lights may be installed on the data collector, and the on or off state of the one or more indicator lights may be used to indicate whether the collection of the electrocardiographic signal is normal. When the data acquisition unit acquires the electrocardiosignals of the human body, the data acquisition unit controls the indicator light to light up or controls the indicator light to turn off.
For example, if an indicator light is installed, when a certain lead electrode cannot collect an electrocardiosignal, the data acquisition unit can control the indicator light to be turned on, so that a user can know that the electrocardiosignal is abnormal in collection and can adjust the electrocardiosignal when seeing that the indicator light is turned on. If a plurality of indicator lamps are installed, the data acquisition unit can control the indicator lamps corresponding to the lead electrodes to be turned on, so that a user can know that the lead electrodes are abnormal when acquiring electrocardiosignals, and can adjust the lead electrodes in a targeted manner.
203. And the data acquisition unit analyzes and processes the electrocardiosignals to obtain an analysis and processing result corresponding to the electrocardiosignals, and the analysis and processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type.
The data collector has an electrocardiosignal processing function, and for the collected electrocardiosignals, the data collector can firstly analyze and process the electrocardiosignals and then send analysis and processing results obtained by analysis and processing to the data processing equipment.
Therefore, the user can directly obtain the physical condition of the user from the data processing equipment without carrying out electrocardiosignal processing steps by the data processing equipment or analyzing by medical personnel based on medical experience, and the processing efficiency of the electrocardiosignals is higher. And medical personnel can also more accurately analyze the physical condition of the user by combining the analysis and processing result and the electrocardiosignal.
In the embodiment of the application, the data acquisition unit can analyze whether the electrocardiosignal of the user is abnormal according to the normal waveform change rule of the electrocardiosignal of the human body, and if the electrocardiosignal is abnormal, the data acquisition unit belongs to which common electrocardiosignal abnormal condition, for example, the analysis processing can be arrhythmia analysis, ST analysis, atrial fibrillation and other analysis. Specifically, the analysis process can be implemented by the following steps one to three:
step one, a data acquisition unit carries out filtering processing on the electrocardiosignals.
The electrocardiosignals acquired by the lead electrode may include other waves besides the waves generated by the heart beating, and the waves can be regarded as interference to the needed electrocardiosignals, such as power frequency interference of a data acquisition system, electrode polarization interference, myoelectric interference, baseline drift and the like, so that the data acquisition device can firstly filter the electrocardiosignals, and more accurate electrocardio conditions of the human body can be obtained by analyzing the electrocardiosignals after filtering.
Specifically, the filtering process may be implemented by a filter, for example, a high-pass filter, and the data acquisition device may input the electrocardiographic signal into the filter, and output the electrocardiographic signal in a certain frequency range, or filter the signal in the certain frequency range, where the certain frequency range may be set by a relevant technician according to the frequency characteristic of the electrocardiographic signal, and the frequency range to be filtered or retained is not limited in the embodiment of the present application.
For example, in a specific example, the filtering process may be implemented by using a second-order high-pass filter, and the second-order high-pass filter may process the electrocardiographic signals according to the following formula:
in another specific example, the filtering process may be implemented by using a quadratic notch filter, and the quadratic notch filter may process the electrocardiographic signals according to the following formula:
in the above formula one and formula two, Z is used to represent the order of the filter, and h (Z) is used to represent the response signal of the filter.
The foregoing only provides two filtering processing manners, and other filtering processing manners may also be adopted in the filtering processing process, which is not limited in this embodiment of the application.
And step two, the data acquisition unit positions the filtered electrocardiosignals to obtain a positioning result of the QRS waves of the electrocardiosignals.
The QRS wave can reflect the changes of the depolarization positions and the time of the left ventricle and the right ventricle, so that the data acquisition unit can position the filtered electrocardiosignals to obtain the positioning result of the QRS wave, and the abnormal analysis is carried out on the electrocardiosignals based on the positioning result.
The first downward wave is referred to as a Q wave, the upward wave is an R wave, and the second downward wave is an S wave. By positioning the electrocardiosignal in this way, whether the electrocardiosignal is abnormal or not can be analyzed according to the positioning result.
The positioning process can be realized in various ways, for example, a QRS wave positioning way based on a difference method can be adopted, amplitude and slope information of the filtered electrocardiosignals can be extracted, waveform fluctuation information is tracked according to an adaptive threshold, and a positioning result of the QRS wave is obtained. For another example, a QRS detection algorithm based on energy transformation and wavelet decomposition may be adopted, length and energy transformation may be performed on the filtered electrocardiographic signal, wavelet decomposition may be performed on the signal after energy transformation, and a positioning result of the QRS wave may be obtained.
And thirdly, performing electrocardio abnormity analysis on the electrocardiosignals by the data acquisition unit based on the positioning result of the QRS wave to obtain an analysis processing result of the electrocardiosignals.
After the data acquisition unit obtains the positioning result of the QRS wave, the data acquisition unit can perform anomaly analysis on the electrocardiosignal so as to analyze whether the heart rhythm and the like of the user are abnormal or not, and if so, which type of abnormality is.
Specifically, the data acquisition unit may analyze abnormal problems that may occur to each item of electrocardio through the positioning result of the QRS wave, for example, may analyze whether the heart rhythm of the user is normal, whether the cardiac repolarization process is normal, and the like. In the third step, the data collector may perform at least one of the following steps 3.1 and 3.2 to perform anomaly analysis on the cardiac electrical signal.
And 3.1, performing heart rate analysis on the electrocardiosignal by the data acquisition unit based on the positioning result of the QRS wave to obtain a first analysis processing result of the electrocardiosignal, wherein the first analysis processing result is used for indicating whether the heart rate of the electrocardiosignal is normal and the abnormal type when the heart rate is abnormal.
And 3.2, analyzing the ST wave band of the electrocardiosignal by the data acquisition unit based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignal, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
The two steps are only exemplary illustrations of performing anomaly analysis on the data acquisition unit, for example, the data acquisition unit may detect problems such as arrhythmia and atrial fibrillation, and whether the cardiac repolarization process is normal, and the data acquisition unit may also perform other analyses on the cardiac signal, and all the analyses may be set by a relevant technician according to a use requirement, which is not limited in the embodiment of the present application.
In a possible implementation manner, in the third step, the process of analyzing the positioning result of the QRS wave by the data acquisition unit may be implemented by an electrocardiographic analysis model, the data acquisition unit may input the electrocardiographic signal and the positioning result of the QRS wave into the electrocardiographic analysis model, and the electrocardiographic analysis model performs anomaly analysis on the electrocardiographic signal and outputs an analysis processing result of the electrocardiographic signal.
The electrocardiogram analysis model can be obtained by training based on a heart beat training set, and the heart beat training set can comprise a large number of electrocardiogram signals and corresponding analysis processing results. Specifically, a corresponding heartbeat training set can be established according to the data characteristics of the data collector. For example, taking the data acquisition device as a dynamic electrocardiograph recorder as an example, a training set of 6 thousands of heartbeats can be established according to the data characteristics of the dynamic electrocardiograph recorder.
In a specific possible embodiment, the electrocardiographic analysis model may be a Convolutional Neural Network (CNN) model, and the electrocardiographic analysis model extracts features of the input QRS wave, identifies the features, and outputs a classification result of the electrocardiographic signal, where the classification result is an analysis processing result of the electrocardiographic signal. In one possible implementation, the feature recognition algorithm may employ a PAN-TOMPKIN algorithm.
In a possible implementation manner, the electrocardiographic analysis model may further have a denoising function, and after the data acquisition device inputs the electrocardiographic signal into the electrocardiographic analysis model, the electrocardiographic signal may be processed by the electrocardiographic analysis model according to a target noise level to obtain the electrocardiographic signal from which the noise corresponding to the target noise level is removed. The target noise level may be set by a person skilled in the art according to requirements or experience, and the embodiment of the present application is not limited thereto. After the electrocardiosignal is subjected to noise preprocessing, the accuracy of subsequent identification can be effectively improved.
In a possible implementation manner, the data acquisition device may perform statistics according to an analysis processing result of the electrocardiographic signals acquired within a period of time, so as to obtain an analysis processing result corresponding to the electrocardiographic signals within the period of time, and in step 204, the electrocardiographic signals acquired within the period of time and the corresponding analysis processing result may be sent to the data processing device.
Specifically, the data acquisition unit may analyze and process the electrocardiographic signals acquired in real time to obtain an analysis processing result corresponding to the electrocardiographic signals at each time, and the data acquisition unit may count the analysis processing results corresponding to the electrocardiographic signals at a plurality of times, so as to determine the analysis processing results corresponding to the electrocardiographic signals at the plurality of times according to the statistical results.
The division of the multiple moments can be set by related technical personnel according to requirements, that is, the duration of each statistic can be set by related technical personnel according to requirements, for example, the electrocardiosignal acquired within 5 minutes can be subjected to the statistics and sent, and the embodiment of the present application does not limit the statistics.
In a possible implementation manner, one or more indicator lights may be further installed on the data collector to indicate whether the electrocardiographic signal is abnormal according to the analysis processing result. For example, an indicator light may be installed, and when the analysis processing result indicates an abnormal electrocardiosignal, the data acquisition unit may control the indicator light to light up. For another example, a plurality of indicator lights may be installed, and when the analysis processing result indicates an abnormal electrocardiographic signal, the data acquisition unit may control, according to the type of the abnormality in the analysis processing result, an indicator light corresponding to the type of the abnormality among the plurality of indicator lights to be turned on.
In implementations, the indicator light may be a signal indicator light, a power indicator light, or a wireless indicator light. For example, all of the one or more indicator lights may be a signal indicator light, a power indicator light or a wireless indicator light, and for example, the one or more indicator lights may also have one or two or three of a power indicator light, a signal indicator light and a wireless indicator light.
Wherein, signal indication lamp can be used for instructing whether the electrocardiosignal of collection appears unusually. The power indicator light can be used for indicating the current electric quantity condition of the power supply part of the data acquisition unit. The wireless indicator light can be used for indicating whether the transmission part of the data acquisition unit can transmit data currently or not.
In a possible embodiment, the one or more indicator lights include a power indicator light, and the brightness of the power indicator light may be linear with the amount of power of the power component. Specifically, when the electric quantity in the power supply part is sufficient, the brightness of the power supply indicator lamp is strong; when the electric quantity of the power supply part is low, the brightness of the power supply indicator lamp is weak. Or, the electric quantity condition of the power supply component can be judged through the states of the power supply indicator lamp such as normally on, flashing, extinguishing and the like, specifically, when the electric quantity of the power supply component is sufficient, the power supply indicator lamp is in a normally on state; when the electric quantity of the power supply part is less, the power supply indicator lamp is in a flashing state; when the power supply unit 4 is not powered or the amount of power is particularly low, the power indicator lamp is in an off state.
In a possible embodiment, the one or more indicator lights include a plurality of power indicator lights, and the number of lights emitted by the power indicator lights may be related to the amount of power of the power component. For example, when the electric quantity of the power supply part is high, all the power supply indicator lamps emit light; when the electric quantity of the power supply part is moderate, half of the power supply indicating lamps emit light, and the other half of the power supply indicating lamps are in an off state; when the electric quantity of the power supply part is low, one power supply indicating lamp is in a light-emitting state, and the other power supply indicating lamps are in a light-off state.
Therefore, after the user starts the data acquisition device, the current electric quantity condition of the power supply part can be judged through the current state of the power supply indicating lamp, and then the data acquisition device can be charged in time, so that the normal use of the user is prevented from being delayed. The user charges in time for data collection station, has also protected data collection station, can avoid power supply unit to last work under the low-power condition, and then can prolong data collection station's life.
In a possible application, the one or more indicator lights may include a signal indicator light, and the signal indicator light may be used to indicate whether the acquired cardiac electrical signal is abnormal. Specifically, when a user uses the electrocardiograph monitor and the data acquisition unit to measure the electrocardiographic condition, each lead electrode corresponds to one electrocardiographic signal, if a certain lead electrode is not attached to the corresponding lead position, the processing component can detect the electrocardiographic signal corresponding to the lead electrode, and the difference between the electrocardiographic signal and the electrocardiographic signal under normal conditions is large, that is, the electrocardiographic signal corresponding to the lead electrode is abnormal, at this time, the processing component can control the signal indicating lamp to flash to remind the user, the user can check each lead electrode based on the flashing of the signal indicating lamp, and further, when the user uses the data acquisition unit to measure the electrocardiographic condition, the user can be reminded through the signal indicating lamp when the operation is wrong, so that the effectiveness of the electrocardiographic measurement result is enhanced.
In a possible application, the one or more indicator lights may include a wireless indicator light, and the wireless indicator light may be used to indicate whether the transmitting component is currently capable of transmitting data, for example, if the data collector is in a good connection state with the computer device, the wireless indicator light is in an on state after the data collector is started, and if the data collector is in the start state and the wireless indicator light is in an off state, it indicates that a problem occurs in the connection state between the data collector and the computer device, so as to draw the attention of the user and enable the user to perform a corresponding operation.
In one possible implementation, the status of the indicator light may include on or off, or may include flashing or long-flashing, or may include a color, etc., for example, when the power supply is low, the color of the power supply indicator light may be red, and when the power supply is charging, the color of the power supply indicator light may be blue, which is merely an illustrative example. The above states can be set by the relevant technical personnel according to the requirements, and the embodiment of the application does not limit the setting.
In one particular example, three indicator lights may be included: signal indicator, power indicator and wireless indicator. The three indicator lights may be different colors. For example, the power indicator light may be yellow in color, the signal indicator light green in color, and the wireless indicator light blue in color. The power indicator is used for indicating the electric quantity of the data acquisition unit, the signal indicator is used for indicating the working state of the data acquisition unit, and the wireless indicator is used for indicating the network connection state of the data acquisition unit.
In a specific example, when a power key of the data collector is pressed for a long time, the three indicator lights are turned off after being turned on, and then the signal indicator light flickers to indicate that the data collector works normally after being started. If the lead electrode falls off, the signal indicating lamp can flash rapidly. When data collection station's electric quantity is low, power indicator flickers, and when data collection station was in the charged state, this power indicator was long bright. When the data acquisition unit is full of electricity, the power indicator lights are turned off, and the signal indicator lights are on for a long time. If the data acquisition device is connected with the data processing device through wireless fidelity (wifi), the wireless indicator light flickers, and if the data acquisition device is connected with the electrocardio application, the wireless indicator light flickers. The battery capacity of the data acquisition unit can be continuously used for 24 hours after being fully charged. Therefore, the user can be subjected to electrocardio detection for a long time, and the detected data is more accurate.
In a possible implementation manner, a speaker may be further installed on the data collector, and the data collector may control the speaker to emit a sound according to the analysis processing result to alarm. That is, when the analysis processing result indicates that the electrocardiosignal is abnormal, the data acquisition device can control the loudspeaker to make a sound.
204. And the data acquisition unit sends the electrocardiosignal and the analysis processing result to the data processing equipment.
Through the steps, the data acquisition unit acquires the electrocardiosignals, performs primary processing on the electrocardiosignals to obtain analysis processing results, and can send the electrocardiosignals to the analysis processing results. The data processing device may be a device equipped with an application for electrocardiographic processing, or may also be a device used in a medical institution for processing an electrocardiographic signal, which is not limited in the embodiment of the present application.
In a possible implementation manner, in step 204, when the data acquisition device sends the electrocardiographic signal and the analysis processing result to the data processing device, the electrocardiographic signal and the analysis processing result can be implemented through the communication connection established in step 201.
In a possible implementation manner, the data acquisition device may further have a voice acquisition function, and the data acquisition device may acquire a voice signal of a user and further send the voice signal as a piece of data. In a specific possible embodiment, the data collector may be provided with an audio circuit, the audio circuit may include at least a microphone, and the data collector may collect a voice signal of the user based on the audio circuit.
In this way, the data collector can collect the voice signal of the user based on the voice collecting instruction and send the collected voice signal to the data processing device. Therefore, if the user feels uncomfortable in the electrocardio monitoring process, the real feeling of the user can be conveyed to medical staff in a voice mode.
In one possible implementation manner, the data acquisition device may synchronously send the electrocardiographic signal and the voice signal acquired in real time to the data processing device. Specifically, the data acquisition device can acquire a voice signal of the user according to the voice acquisition instruction, and synchronously send the voice signal, the electrocardiosignal and the analysis processing result to the data processing device. Therefore, the electrocardio condition of the user can be obtained based on the electrocardiosignals, the real feeling of the user can also be obtained based on the voice signals, the preliminary analysis condition of the electrocardiosignals can also be obtained based on the analysis processing result, and the physical condition of the user can be more accurately judged by integrating various information.
Of course, in this embodiment, the synchronous sending process is a real-time sending case, and the synchronous sending process may also be a buffered sending case, and in a possible implementation manner, the synchronous sending process may be: the data acquisition unit caches the acquired voice signals, and sends the electrocardiosignals cached in the target duration, the analysis processing result and the voice signals to the data processing equipment every other target duration.
In another possible implementation manner, the synchronous sending process may be: and the data acquisition unit synchronously sends the electrocardiosignals acquired in the acquisition time period, the analysis processing result and the voice signals to the data processing equipment according to the acquisition time period of the voice signals. Therefore, the voice signal and the electrocardiosignal are completely synchronous, the correspondence between the voice signal and the electrocardiosignal can be improved, and the physical condition of the user can be more accurately obtained when the signals are analyzed.
In a possible implementation manner, the storage manner of the speech signal and the electrocardiographic signal may be a storage manner of a data block, the speech signal and the electrocardiographic signal may be stored in the data block, and the size of the data block is determined based on the number of bits and the sampling rate of the electrocardiographic signal and the speech signal. For example, each data block may store the cardiac signal and the voice signal collected within one second.
The data acquisition device provided by the embodiment of the application has an electrocardiosignal analysis function, can acquire the electrocardiosignal of a human body through the lead electrode, and analyze and process the acquired electrocardiosignal to obtain an analysis and processing result, so that the electrocardiosignal and the analysis and processing result are sent to the data processing equipment, and a user is not required to go to a hospital for electrocardio monitoring, and the electrocardio monitoring instrument is not required to directly monitor the electrocardio of the human body.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
Fig. 3 is a schematic structural diagram of a data transmission apparatus according to an embodiment of the present application, and referring to fig. 3, the apparatus may include:
the acquisition module 301 is used for acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit;
a processing module 302, configured to perform analysis processing on the electrocardiographic signal to obtain an analysis processing result corresponding to the electrocardiographic signal, where the analysis processing result is used to indicate whether the electrocardiographic signal is abnormal or not and an abnormal type;
a sending module 303, configured to send the electrocardiographic signal and the analysis processing result to a data processing device.
Optionally, the processing module 302 is configured to:
filtering the electrocardiosignal;
positioning the electrocardiosignals after filtering processing to obtain a positioning result of the QRS waves of the electrocardiosignals;
and carrying out electrocardio abnormity analysis on the electrocardiosignals based on the positioning result of the QRS wave to obtain the analysis processing result of the electrocardiosignals.
Optionally, the processing module 302 is configured to perform at least one of the following:
based on the positioning result of the QRS wave, performing rhythm analysis on the electrocardiosignal to obtain a first analysis processing result of the electrocardiosignal, wherein the first analysis processing result is used for indicating whether the rhythm of the electrocardiosignal is normal or not and indicating the abnormal type when the rhythm is abnormal;
and analyzing the ST wave band of the electrocardiosignal based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignal, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
Optionally, the processing module 302 is configured to:
and inputting the electrocardiosignal and the positioning result of the QRS wave into an electrocardio analysis model, carrying out abnormal analysis on the electrocardiosignal by the electrocardio analysis model, and outputting the analysis processing result of the electrocardiosignal.
Optionally, the processing module 302 is further configured to process, by the electrocardiograph analysis model, the electrocardiograph signal according to the target noise level, so as to obtain the electrocardiograph signal without the noise corresponding to the target noise level.
Optionally, the processing module 302 is configured to:
analyzing and processing the electrocardiosignals acquired in real time to obtain an analysis and processing result corresponding to the electrocardiosignals at each moment;
counting analysis processing results corresponding to the electrocardiosignals at a plurality of moments;
and determining analysis processing results corresponding to the electrocardiosignals at the multiple moments according to the statistical result.
Optionally, the method further comprises:
the acquisition module 301 is further configured to acquire a voice signal of a user according to the voice acquisition instruction;
the sending module 303 is further configured to send the speech signal, the cardiac signal, and the analysis result to the data processing device synchronously.
Optionally, the data processing device is a device installed with an electrocardiographic processing application, or the data processing device is a device used in a medical institution for processing electrocardiographic signals.
The device that this application embodiment provided has electrocardiosignal analysis function, can gather human electrocardiosignal through the electrode that leads, carry out analysis processes to the electrocardiosignal who gathers, obtain analysis processes result, thereby send electrocardiosignal and analysis processes result to data processing equipment, and need not the user and go to the hospital and carry out electrocardio monitoring, also need not the electrocardio monitor and directly carry out electrocardio monitoring to the human body, compare with the limitation that uses electrocardio monitor to have, the flexibility is good, and this data collection station has signal processing function, can need not artifical analysis processes to electrocardiosignal, the treatment effeciency is high.
It should be noted that: in the data transmitting apparatus provided in the above embodiment, when transmitting data, only the division of the functional modules is described as an example, and in practical applications, the function distribution may be completed by different functional modules as needed, that is, the internal structure of the data collector is divided into different functional modules to complete all or part of the functions described above. In addition, the data sending apparatus provided in the foregoing embodiment and the data sending method embodiment belong to the same concept, and specific implementation processes thereof are described in the method embodiment and are not described herein again.
Fig. 4 is a schematic structural diagram of a data collector 400 according to an embodiment of the present application, where the data collector 400 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 401 and one or more memories 402, where at least one instruction is stored in the one or more memories 402, and the at least one instruction is loaded and executed by the one or more processors 401 to implement the data transmission method according to the foregoing method embodiments. Of course, the data collector 400 may also have components such as a wired or wireless network interface, a power supply, and a data collecting assembly, and the data collector 400 may also include other components for implementing the functions of the device, which are not described herein again.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, including instructions executable by a processor to perform the data transmission method in the above-described embodiments is also provided. For example, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A data sending method is characterized by being applied to a data acquisition unit, and comprises the following steps:
acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit;
analyzing and processing the electrocardiosignals to obtain an analysis and processing result corresponding to the electrocardiosignals, wherein the analysis and processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type;
and sending the electrocardiosignal and the analysis processing result to data processing equipment.
2. The method according to claim 1, wherein the analyzing the cardiac signal to obtain an analysis result corresponding to the cardiac signal comprises:
filtering the electrocardiosignals;
positioning the electrocardiosignals after filtering processing to obtain a positioning result of the QRS waves of the electrocardiosignals;
and carrying out electrocardio abnormity analysis on the electrocardiosignals based on the positioning result of the QRS wave to obtain the analysis processing result of the electrocardiosignals.
3. The method according to claim 2, wherein said performing an abnormal cardiac electrical analysis on said cardiac electrical signal based on the positioning result of said QRS wave to obtain an analysis processing result of said cardiac electrical signal comprises at least one of:
performing heart rate analysis on the electrocardiosignals based on the positioning result of the QRS waves to obtain a first analysis processing result of the electrocardiosignals, wherein the first analysis processing result is used for indicating whether the heart rate of the electrocardiosignals is normal or not and indicating the abnormal type when the heart rate is abnormal;
and analyzing the ST wave band of the electrocardiosignals based on the positioning result of the QRS wave to obtain a second analysis processing result of the electrocardiosignals, wherein the second analysis processing result is used for indicating whether the cardiac muscle repolarization process of the human body is normal.
4. The method according to claim 2, wherein said performing an abnormal cardiac electrical analysis on said cardiac electrical signal based on the positioning result of said QRS wave to obtain an analysis processing result of said cardiac electrical signal comprises:
and inputting the electrocardiosignals and the positioning result of the QRS waves into an electrocardio analysis model, carrying out abnormal analysis on the electrocardiosignals by the electrocardio analysis model, and outputting the analysis processing result of the electrocardiosignals.
5. The method of claim 4, wherein after inputting said cardiac electrical signal and said QRS wave location into an analysis model, said method further comprises:
and processing the electrocardiosignals by the electrocardio analysis model according to the target noise level to obtain the electrocardiosignals without the noise corresponding to the target noise level.
6. The method according to claim 1, wherein the analyzing the cardiac signal to obtain an analysis result corresponding to the cardiac signal comprises:
analyzing and processing the electrocardiosignals acquired in real time to obtain an analysis and processing result corresponding to the electrocardiosignals at each moment;
counting analysis processing results corresponding to the electrocardiosignals at a plurality of moments;
and determining analysis processing results corresponding to the electrocardiosignals at the multiple moments according to the statistical result.
7. The method of claim 1, further comprising:
acquiring a voice signal of a user according to the voice acquisition instruction;
and synchronously sending the voice signal, the electrocardiosignal and the analysis processing result to the data processing equipment.
8. A data transmission apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring electrocardiosignals of a human body based on the lead electrodes connected with the data acquisition unit;
the processing module is used for analyzing and processing the electrocardiosignals to obtain an analysis processing result corresponding to the electrocardiosignals, and the analysis processing result is used for indicating whether the electrocardiosignals are abnormal or not and indicating the abnormal type;
and the sending module is used for sending the electrocardiosignals and the analysis processing result to data processing equipment.
9. A data collector, comprising one or more memories and one or more processors, the one or more memories storing at least one instruction therein, which when executed, performs an operation performed by the data sending method of any one of claims 1-7.
10. A storage medium having stored therein at least one instruction that when executed performs an operation performed by the data transmission method of any one of claims 1 to 7.
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