CN117224134A

CN117224134A - Electrocardiogram blood pressure linkage detection method, device, equipment and readable storage medium

Info

Publication number: CN117224134A
Application number: CN202210646425.4A
Authority: CN
Inventors: 饶力; 沈东雪
Original assignee: Edan Instruments Inc
Current assignee: Edan Instruments Inc
Priority date: 2022-06-08
Filing date: 2022-06-08
Publication date: 2023-12-15

Abstract

The application relates to the technical field of electrocardiograph detection, and discloses an electrocardiograph blood pressure linkage detection method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring electrocardio data and blood pressure data; analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment. By the method, the corresponding relation among the acquisition time, the blood pressure data and the corresponding electrocardio data segments is enhanced, the subsequent data association analysis is facilitated, and the electrocardio-blood pressure analysis efficiency is improved.

Description

Electrocardiogram blood pressure linkage detection method, device, equipment and readable storage medium

Technical Field

The application relates to the technical field of electrocardiograph detection, in particular to an electrocardiograph blood pressure linkage detection method, an electrocardiograph blood pressure linkage detection device, electrocardiograph blood pressure linkage detection equipment and a readable storage medium.

Background

Electrocardiography has been used more and more widely in clinic, can be used as an important clinical basis for diagnosing and distinguishing arrhythmia, and has important clinical value for diagnosing acute myocardial ischemia/infarction.

The blood pressure statistical chart is a main means for evaluating blood pressure level, diagnosing hypertension and observing blood pressure reducing curative effect, and accurately measuring the change trend of blood pressure can improve the detection rate of early asymptomatic mild hypertension or critical hypertension patients and can be treated in time.

Current electrocardiographic detection and blood pressure detection are generally performed by two different devices, or two detection functions of electrocardiographic detection and blood pressure detection are integrated on one device. However, electrocardiographic examination and blood pressure examination are performed independently, and do not interfere with each other, and thus the detected patient condition has a certain limitation.

Disclosure of Invention

The application provides an electrocardio-blood pressure linkage detection method, an electrocardio-blood pressure linkage detection device, electrocardio-blood pressure linkage detection equipment and a readable storage medium, which enhance the corresponding relation among acquisition time, blood pressure data and corresponding electrocardio-data segments, facilitate the association analysis of subsequent data and improve the electrocardio-blood pressure analysis efficiency.

In order to solve the problems, the application adopts a technical scheme that an electrocardio-blood pressure linkage detection method is provided, and the method comprises the following steps: acquiring electrocardio data and blood pressure data; analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment.

Determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data comprises: determining an electrocardiographic interception time range including acquisition time; and determining an electrocardiographic data segment corresponding to the electrocardiographic interception time range in electrocardiographic data.

Wherein, confirm the electrocardiographic interception time range including acquisition time, include: determining a first time point of a first preset time length before the acquisition time and a second time point of a second preset time length after the acquisition time; and determining the time length between the first time point and the second time point as an electrocardiographic interception time range.

Wherein, confirm the electrocardiographic interception time range including acquisition time, include: determining a target cardiac cycle corresponding to the acquisition time; determining a first cardiac cycle corresponding to a first preset number of cardiac cycles before a target cardiac cycle, and determining a second cardiac cycle corresponding to a second preset number of cardiac cycles after the target cardiac cycle; the time length between the first cardiac cycle and the second cardiac cycle is determined as an electrocardiographic interception time range.

Wherein analyzing the blood pressure data to obtain an acquisition time includes: analyzing the blood pressure data to obtain acquisition time and corresponding blood pressure characteristic parameters; correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment, including: and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments.

Wherein, after determining the electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data, the method comprises the following steps: analyzing the electrocardiograph data segment corresponding to the acquisition time in response to the abnormality of the blood pressure characteristic parameter corresponding to the acquisition time so as to obtain an electrocardiograph analysis result; correlating the acquisition time, the corresponding blood pressure characteristic parameter, and the corresponding electrocardiographic data segment comprises: and correlating the acquisition time, the corresponding blood pressure characteristic parameters, the corresponding electrocardiographic data segments and the corresponding electrocardiographic analysis results.

Analyzing the electrocardiograph data segment corresponding to the acquisition time to obtain an electrocardiograph analysis result, wherein the electrocardiograph analysis result comprises: extracting characteristic parameters of an electrocardiograph slice data segment corresponding to the acquisition time, wherein the characteristic parameters comprise at least one of a cardiac cycle type, a cardiac cycle position, an interval, a heart rate, a P wave parameter and a Q wave parameter; and drawing an electrocardiographic analysis chart/table showing the change trend of the characteristic parameters along with time as an electrocardiographic analysis result.

The analysis of the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters comprises the following steps: analyzing the blood pressure data to obtain acquisition time, corresponding blood pressure characteristic parameters and blood pressure analysis results; or analyzing the related blood pressure characteristic parameters to obtain a blood pressure analysis result; after analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters, the method comprises the following steps: responding to the blood pressure analysis result as abnormal blood pressure, and marking and displaying the corresponding blood pressure characteristic parameters; and/or analyzing the associated electrocardiographic data segment to obtain an electrocardiographic analysis result; and responding to the result of the electrocardio analysis as an electrocardio abnormality, and marking and displaying corresponding electrocardio data segments, wherein the electrocardio abnormality comprises that the SDNN value is less than 50, the atrial fibrillation is initiated or the paroxysmal atrial fibrillation, and the atrial fibrillation information corresponds to the disappearance of P waves or the replacement of P waves by irregular f waves, or the irregular RR interval or the atrial fibrillation frequency is 350-600 times/minute.

Wherein, after determining the electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data, the method comprises the following steps: and generating an analysis report according to the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardio data segment association relation.

Wherein after generating the analysis report, the method comprises: generating a thumbnail corresponding to the analysis report; displaying the thumbnail; in response to a click operation on the thumbnail, an analysis report is displayed.

Wherein generating the analysis report includes: report contents corresponding to the blood pressure characteristic parameters and report contents corresponding to the electrocardiographic data segments are separated and formed in different parts of the analysis report respectively.

In order to solve the above problems, another technical solution adopted by the present application is to provide an electrocardiographic blood pressure linkage detection method, which includes: acquiring electrocardio data; analyzing the electrocardiographic data to obtain acquisition time; determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data; and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

Wherein, analyze the electrocardio data in order to obtain acquisition time, include: analyzing the electrocardio data to obtain acquisition time and corresponding electrocardio characteristic parameters; correlating the electrocardiographic data with the blood pressure data based on the acquisition time, comprising: and correlating the acquisition time, the corresponding electrocardio characteristic parameters and the corresponding blood pressure data segment.

Wherein, determining the blood pressure data segment corresponding to the acquisition time in the blood pressure data comprises: and responding to the electrocardio analysis result to be an electrocardio abnormality, determining a blood pressure data segment corresponding to the acquisition time in blood pressure data, wherein the electrocardio abnormality comprises that the SDNN value is less than 50, the atrial fibrillation is initiated or the paroxysmal atrial fibrillation, and the atrial fibrillation information corresponds to the disappearance of P waves or the replacement of P waves by irregular f waves, or the irregularity of RR intervals, or the atrial fibrillation frequency is 350-600 times/minute.

Wherein, the correlating the electrocardiographic data with the blood pressure data based on the acquisition time comprises: and in response to the electrocardio characteristic parameters meeting the requirements, correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

In order to solve the above problems, another technical solution adopted by the present application is to provide a wearable device, which includes: the electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph data acquired by the electrocardiograph acquisition component; the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure data acquired by the blood pressure acquisition component; the controller is connected with the electrocardio data interface and the blood pressure data interface and is used for analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment.

In order to solve the above problems, another technical solution adopted by the present application is to provide a wearable device, which includes: the electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph data acquired by the electrocardiograph acquisition component; the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure data acquired by the blood pressure acquisition component; the controller is connected with the electrocardio data interface and the blood pressure data interface and is used for analyzing electrocardio data to obtain acquisition time; determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data; and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

In order to solve the problems, the application adopts another technical scheme that an electrocardio-blood pressure linkage detection device is provided, and the electrocardio-blood pressure linkage detection device comprises a processor and a memory connected with the processor; the memory stores program data, and the processor retrieves the program data stored in the memory to realize the electrocardio-blood pressure linkage detection method provided by the technical scheme.

In order to solve the above problems, another technical solution adopted by the present application is to provide a computer readable storage medium, where the computer readable storage medium is used to store program instructions, and the program instructions, when executed by a processor, are used to implement the method for detecting the electrocardiographic blood pressure linkage provided by the above technical solution.

The beneficial effects of the application are as follows: different from the condition of the prior art, the application provides an electrocardio-blood pressure linkage detection method, which comprises the following steps: acquiring electrocardio data and blood pressure data; analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment. By the method, the electrocardio data and the blood pressure data are utilized for analysis, the electrocardio data segment corresponding to the acquisition time is obtained, the acquisition time, the blood pressure data and the corresponding electrocardio data segment are associated, the corresponding relation between the blood pressure data and the corresponding electrocardio data segment of the acquisition time is enhanced, the subsequent data association analysis is facilitated, and the electrocardio blood pressure analysis efficiency is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:

FIG. 1 is a schematic flow chart of a first embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

FIG. 2 is a schematic flow chart of a second embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

FIG. 3 is a flow chart of an embodiment of step 23 provided in the present application;

FIG. 4 is a schematic illustration of a cardiac cycle of an electrocardiographic fragment;

FIG. 5 is a flow chart of another embodiment of step 23 provided by the present application;

FIG. 6 is an electrocardiographic plot of one embodiment of determining an electrocardiographic fragment from an electrocardiographic range;

FIG. 7 is a schematic flow chart of a third embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

FIG. 8 is a flow chart of an embodiment of step 74 provided in the present application;

FIG. 9 is a schematic flow chart of a fourth embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

FIG. 10 is a flow chart of an embodiment of step 93 provided in the present application;

FIG. 11 is a human-machine interface schematic diagram showing one embodiment of blood pressure analysis results and/or electrocardiographic analysis results;

fig. 12 is a schematic flow chart of a fifth embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

FIG. 13 is a flow chart of an embodiment of the present application after generating an analysis report;

Fig. 14 is a schematic flow chart of a sixth embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

fig. 15 is a schematic flow chart of a seventh embodiment of an electrocardiographic blood pressure linkage detection method provided by the application;

fig. 16 is a schematic structural diagram of a wearable device according to the present application;

fig. 17 is a schematic structural diagram of another wearable device provided by the present application;

FIG. 18 is a schematic diagram of an electrocardiographic blood pressure linkage detection device according to the present application;

fig. 19 is a schematic structural diagram of an embodiment of a computer readable storage medium according to the present application.

Detailed Description

The technical solutions in 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. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present application are shown in the drawings. 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 terms "comprising" and "having" and any variations thereof herein are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

Referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of an electrocardiographic blood pressure linkage detection method provided by the present application. The method comprises the following steps:

step 11: and acquiring electrocardio data and blood pressure data.

In some embodiments, electrocardiographic data and blood pressure data may be acquired using a wearable device. Wherein, the wearable device may include a wearable electrocardiograph acquisition device and a wearable blood pressure acquisition device.

The wearable electrocardio acquisition device and the wearable blood pressure acquisition device can be arranged in a centralized manner on an electrocardio-blood pressure linkage display device. For example, a wearable electrocardiograph acquisition device, a wearable blood pressure acquisition device and an electrocardiograph blood pressure linked display device are used as a master-slave mode. The display device of electrocardio blood pressure linkage is a host end, and the wearable electrocardio acquisition device and the wearable blood pressure acquisition device are slave ends.

The wearable electrocardio acquisition device, the wearable blood pressure acquisition device and the display device of biological detection information are in communication connection.

The electrocardiograph data and the blood pressure data can be local original data collected by a sensor assembled on an electrocardiograph blood pressure linkage detection device, or can be electrocardiograph data and blood pressure data transmitted by receiving other application ends. The wearable electrocardio acquisition device and the wearable blood pressure acquisition device can be formed by using the sensor.

For example, the electrocardiographic data may be obtained by converting an electrocardiographic signal acquired by an electrocardiographic data sensor, and the blood pressure data may be obtained by converting a blood pressure signal acquired by a blood pressure data sensor.

For acquiring electrocardiosignals, an electrocardio data acquisition unit can be worn on the limbs and the chest of a user, and the electrodes of the electrocardio data acquisition unit are contacted with a human body to acquire the heart electric activity signals of the user. Further, an electrocardio-blood pressure linkage detection device is used for receiving the electrocardio-activity signal of the electrocardio-data acquisition device, the electrocardio-activity signal is filtered by a low-pass filter to remove an interference common-frequency notch, and the filtered electrocardio-activity signal is subjected to data conversion by an Analog-to-Digital Converter (Analog-to-digital converter) to form electrocardio data.

Specifically, the acquired electrocardiographic data includes an acquisition period, an acquisition time, electrocardiographic parameters corresponding to electrocardiographic segments, and electrocardiographic events determined according to the electrocardiographic parameters. The electrocardiographic parameters corresponding to the electrocardiographic fragments comprise at least one of average heart rate, slowest heart rate, heart beat type, heart beat position, interval parameters, waveform parameters, fastest heart rate and total number of heart beats, and the electrocardiographic events comprise at least one of atrial premature beat, atrial speed, ventricular premature beat, single-shot ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate.

Optionally, electrodes are placed at different parts of a human body through an electrocardiograph data collector in a multi-lead mode, different leads are formed between every two electrodes or between the electrodes and a central potential end, and the electrodes are connected with the positive electrode and the negative electrode of an electrocardiograph ammeter through lead wires to record the electrical activity of the heart. The electrocardio data acquisition device comprises an electrocardio data acquisition device, a blood pressure linkage detection device and a blood pressure linkage detection device, wherein the number of leads of the electrocardio data acquisition device comprises 8 leads, 12 leads, 18 leads and the like, and can comprise various lead switching modes for acquiring and analyzing electrocardio data of different lead numbers.

For collecting blood pressure signals, a blood pressure data collector can be worn on the limbs of a user, a main controller connected with the blood pressure data collector is utilized to control an air pump to inflate a cuff of the blood pressure data collector to a certain pressure value, the blood pressure is ensured to exceed the systolic pressure of a blood vessel, the blood flow is blocked, and then the air pump is controlled to deflate stepwise at a speed. During deflation, a primary pressure sensor located in the blood pressure data acquisition device converts pressure signals within the cuff into blood pressure electrical activity signals. Further, the electrocardio-blood pressure linkage detection device acquires a blood pressure electric activity signal of the blood pressure data acquisition device, filters the blood pressure electric activity signal through a low-pass filter to obtain a static pressure signal and a pulse signal of the cuff, and then performs data conversion on the static pressure signal and the pulse signal through the ADC analog-digital converter to form blood pressure data.

Specifically, the acquired blood pressure data includes a plurality of sets of blood pressure parameters, and an acquisition time of each set of blood pressure parameters. The blood pressure data acquisition device acquires blood pressure data once every other preset time to obtain a group of blood pressure parameters. Each set of blood pressure parameters includes at least one of an acquisition date, an acquisition time, a systolic pressure, a diastolic pressure, an average arterial pressure, a pulse rate, a posture feature, and an error code.

In some embodiments, the blood pressure data collector is from 10 on a day: 00 starts to collect blood pressure data every 2 hours, and 5 times of blood pressure data are collected in total. Namely, the acquired blood pressure data comprises five groups of blood pressure parameters, and the acquisition time corresponding to each group of blood pressure parameters is respectively 10: 00. 12: 00. 14: 00. 16: 00. 18:00 and 20:00.

optionally, the electrocardio-blood pressure linkage detection device is respectively connected with an electrocardio data collector and a blood pressure data collector. The controller of the electrocardio data collector and the controller of the blood pressure data collector are arranged in the electrocardio-blood pressure linkage detection device, and the electrocardio-blood pressure linkage detection device can be respectively in communication connection with the electrocardio data collector and the blood pressure data collector in a mode of using special communication protocols such as USB (Universal Serial Bus ), bluetooth or serial port. The electrocardio-blood pressure linkage detection device is used for controlling the electrocardio-data collector and the blood pressure data collector to carry out data collection tasks, setting data collection parameters, analyzing electrocardio-data and blood pressure data tasks and displaying related charts under different scenes. The electrocardio-blood pressure linkage detection device can also print corresponding data, analysis results, graphs/tables and other information or output report documents.

Optionally, the electrocardio-blood pressure linkage detection device comprises an input module and a human-computer interface. The input module is used for inputting control signals to the electrocardio-blood pressure linkage detection device to control the electrocardio-blood pressure linkage detection device to operate, such as inputting control signals for configuring an acquisition mode (such as a single electrocardio mode, a single blood pressure mode and an electrocardio-blood pressure adding mode), acquisition duration, start-stop time, interval time, special function parameters (such as detection frequency parameters, early warning value parameters, channel number parameters and sampling rate parameters) and the like, so as to complete the function parameter configuration of the electrocardio-blood pressure linkage detection device, store the function parameter configuration, and facilitate subsequent continuous use. The human-computer interface is used for providing a user operation interface, such as an acquisition mode selection main interface for selecting electrocardiographic data acquisition or blood pressure data acquisition, a functional mode working interface for displaying electrocardiographic data or blood pressure data, a parameter setting interface for configuring acquisition data, and the like. For example, a certain piece of blood pressure data or electrocardiographic data can be set as invalid data through the input module, and the certain piece of blood pressure data or electrocardiographic data can be modified.

Specifically, the upper edge area of the human-computer interface comprises an option menu bar, and the application interface of the corresponding option can be displayed when the corresponding option identifier is selected and determined by the input module of the electrocardio-blood pressure linkage detection device. Wherein the option menu bar includes: patient information, templates, electrocardiographic analysis results, blood pressure analysis results, atrial fibrillation/atrial flutter, events, electrocardiographic analysis graphs, blood pressure analysis graphs, superposition graphs, scatter graphs, trend graphs, lists, statistical information, reports and other option identifiers, for example, the input module selects and determines a blood pressure analysis graph option, and then the human-computer interface displays corresponding blood pressure analysis graph information, such as a blood pressure histogram or a blood pressure circadian rhythm graph, marks thereof and the like. The man-machine interface of the electrocardio-blood pressure linkage detection device can input a selection instruction through the input module, and a corresponding display scheme is set according to the selection instruction. Optionally, displaying the protocol includes displaying any one or any combination of several of the electrocardiographic analysis results or blood pressure analysis results and their corresponding analysis maps or statistical maps/tables.

Alternatively, the input module may be a key input or a voice input. The key input device can comprise a plurality of keys, and the voice input device can comprise a plurality of voice keywords for inputting different control signals to the blood pressure linkage detection device. For example, the key input device may include four keys, namely a confirm key, a left key, a right key and a self-rescue key, wherein the confirm key, the left key and the right key are used for performing interface operation on a human-computer interface and inputting corresponding control signals to the blood pressure linkage detection device. The self-rescue key is one-key triggering type, and the electrocardio-blood pressure linkage detection device receives a control signal sent by the self-rescue key and immediately starts a self-rescue mode. For example, the plurality of voice keywords in the voice inputter include the same functions as the plurality of keys in the key inputter. For example, a voice keyword is "blood pressure analysis chart", the voice input unit recognizes the keyword and sends a corresponding control signal to the electrocardiographic blood pressure linkage detection device, and the electrocardiographic blood pressure linkage detection device immediately displays a blood pressure histogram or a blood pressure circadian rhythm chart in a human-computer interface and provides operational functional options, such as operations of modifying blood pressure data, viewing the blood pressure data chart, and the like.

Step 12: and analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters.

In some embodiments, the blood pressure characteristic parameter may include at least one of a cardiac cycle type, a cardiac cycle position, an RR interval, a heart rate, a P-wave parameter, and a Q-wave parameter.

In some embodiments, the blood pressure data is analyzed to obtain the acquisition time and corresponding blood pressure characteristic parameters, blood pressure analysis results.

In some embodiments, the associated blood pressure characteristic parameters are analyzed to obtain blood pressure analysis results.

Step 13: and determining an electrocardio data segment corresponding to the acquisition time in the electrocardio data.

In some embodiments, the corresponding electrocardiogram may be drawn from the electrocardiographic data. In the electrocardiogram, the abscissa is the acquisition time of the electrocardiographic data, and the ordinate is the electrocardiographic parameter corresponding to the electrocardiogram. Optionally, the collection time of the electrocardiographic data may be long-range electrocardiographic data collection, that is, the collection time of electrocardiographs may be determined according to practical situations, and each electrocardiograph is composed of a plurality of electrocardiograph segments. For example, the electrocardiographic acquisition time may be 8 hours, 12 hours, 24 hours, etc. Wherein at least one electrocardiographic fragment is included within a certain acquisition time of electrocardiographic data.

Step 14: and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments.

In some embodiments, the acquisition time, the corresponding blood pressure characteristic parameter, and the corresponding electrocardiographic data segment are associated, so that all electrocardiographic data and blood pressure data can be associated and stored correspondingly.

In some embodiments, step 14 may be the following:

and determining blood pressure characteristic parameters corresponding to the electrocardio segments according to the acquisition time, analyzing the electrocardio segments, determining corresponding analysis results, and then correlating and storing the electrocardio segments, the analysis results corresponding to the electrocardio segments, the blood pressure characteristic parameters and the acquisition time corresponding to the blood pressure parameters.

Alternatively, all the acquisition times are ordered chronologically, and are set as t1, t2, t3, t4, etc., respectively. And respectively determining corresponding electrocardio fragments and blood pressure characteristic parameters according to t1, t2, t3 and t4, respectively, setting the electrocardio fragments as x1, x2, x3, x4 and the like, and setting the blood pressure parameters as y1, y2, y3, y4 and the like. Wherein the set of electrocardiographic segments (i.e., x1, x2, x3, x4, etc.) is determined as the first electrocardiographic segment and the set of blood pressure parameters (i.e., y1, y2, y3, y4, etc.) is determined as the first blood pressure parameter.

And respectively carrying out electrocardiographic analysis on x1, x2, x3 and x4 in the electrocardiographic fragments, and determining corresponding analysis results. The analysis result of the electrocardio segment comprises various analysis data, and a corresponding electrocardio data analysis table or an electrocardio data analysis chart can be made according to the various analysis data, so that a user can more intuitively know and analyze the heart condition of the user.

The electrocardio data analysis table can comprise an acquisition range corresponding to electrocardio data, acquisition time, electrocardio parameters corresponding to electrocardio fragments and electrocardio events determined according to the electrocardio parameters. The electrocardio parameters corresponding to the electrocardio fragments comprise average heart rate, slowest heart rate, fastest heart rate, total heart beat, atrial premature beat, atrial speed, ventricular premature beat, single ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate.

For the electrocardiographic data analysis graph, an electrocardiographic fragment and an electrocardiographic statistical graph which are correspondingly drawn by electrocardiographic parameters can be included. The electrocardiographic statistical map comprises a trend map, an overlay map, a scatter map, a histogram, an overview map, an electrocardiographic waveform and the like of electrocardiographic data. Such as PP interval scatter plots, PR interval scatter plots, left ventricular high voltage plots, or atrioventricular block plots, etc. In one embodiment, the respective numerical connections of the PP and RR intervals of the electrocardiographic data over an acquisition time may be plotted as an electrocardiographic trend analysis graph.

Optionally, the electrocardiograph fragments (i.e., x1, x2, x3, x4, etc.), the analysis results corresponding to the electrocardiograph fragments, the blood pressure characteristic parameters (i.e., y1, y2, y3, y4, etc.), and the acquisition time corresponding to the blood pressure characteristic parameters (i.e., t1, t2, t3, t4, etc.) are associated one by one and stored in the electrocardiograph blood pressure linkage detection device.

In an actual application scene, the blood pressure data and the electrocardio data are associated and stored, and the purpose of the method is to facilitate the association analysis of the blood pressure information and the electrocardio data, obtain an association analysis result and display the association analysis result.

In this embodiment, the electrocardiographic data and the blood pressure data are used for analysis, so as to obtain the blood pressure characteristic parameters and the electrocardiographic data segments corresponding to the acquisition time, and the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments are associated, so that the corresponding relation among the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments is enhanced, the subsequent data association analysis is facilitated, and the electrocardiographic blood pressure analysis efficiency is improved.

Referring to fig. 2, fig. 2 is a schematic flow chart of a second embodiment of an electrocardiographic blood pressure linkage detection method provided by the present application. The method comprises the following steps:

step 21: and acquiring electrocardio data and blood pressure data.

Step 22: and analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters.

In some embodiments, an acquisition time for a certain set of blood pressure parameters is acquired, which is set as a target acquisition time. Alternatively, the target acquisition time may be 1 or more. The acquisition time of each group of blood pressure parameters corresponding to the acquired blood pressure data can be a target acquisition time, and a corresponding electrocardio segment is determined in electrocardio data according to the target acquisition time.

Step 23: and determining an electrocardiographic interception time range including the acquisition time.

In some embodiments, the acquisition time is a certain time, and the electrocardiographic segment corresponding to the acquisition time is an electrocardiographic portion captured in a certain time period corresponding to the electrocardiograph.

In some embodiments, referring to fig. 3, step 23 may be the following procedure:

step 31: determining a first point in time of a first preset length of time before the acquisition time, and determining a second point in time of a second preset length of time after the acquisition time.

The first preset time length and the second preset time length may be the same or different.

In some embodiments, the time corresponding to the first preset time length 30 minutes before the acquisition time is determined to be a first time point, and the time corresponding to the second preset time length 30 minutes after the acquisition time is determined to be a second time point.

Step 32: and determining the time length between the first time point and the second time point as an electrocardiographic interception time range.

Specifically, the electrocardiographic interception range of each electrocardiogram may be the same or different. For example, the range of electrocardiography interception during the day (6:00-17:59) may be one hour long electrocardiographic fragment, and the range of electrocardiography interception during the night (18:00-5:59) may be two hours long electrocardiographic fragment. Wherein each electrocardiograph segment comprises at least one cardiac cycle.

Referring to fig. 4, fig. 4 is a schematic diagram of a cardiac cycle of an electrocardiographic fragment. As shown in fig. 4, the abscissa of the schematic diagram of the cardiac cycle represents time and the ordinate represents the value of an electrocardiographic parameter (e.g., average heart rate, slowest heart rate, fastest heart rate, total number of beats, etc.). Specifically, one electrocardiogram comprises at least one electrocardiogram segment, and each electrocardiogram segment comprises at least one cardiac cycle. Wherein each cardiac cycle mainly includes a PR interval and a QT interval, which in turn includes a QRS interval and a JT interval.

Thus, in another embodiment, the range of cardiac interception may be determined from the cardiac cycle corresponding to the target acquisition time.

In some embodiments, referring to fig. 5, step 23 may also be the following procedure:

step 51: and determining a target cardiac cycle corresponding to the acquisition time.

In some embodiments, the blood pressure characteristic parameter is acquired once every time interval, and one cardiac cycle is located in one time period, that is, the blood pressure parameter may or may not be acquired once in the time period corresponding to each cardiac cycle. At this time, the electrocardiograph blood pressure linkage detection device determines that the target acquisition time is within a certain time period of a corresponding cardiac cycle according to the acquired target acquisition time, and the cardiac cycle is the corresponding target cardiac cycle.

Step 52: determining a first cardiac cycle corresponding to a first preset number of cardiac cycles before the target cardiac cycle, and determining a second cardiac cycle corresponding to a second preset number of cardiac cycles after the target cardiac cycle.

In some embodiments, a first preset number of cardiac cycles before the target cardiac cycle is set as a first cardiac cycle and a second preset number of cardiac cycles after the target cardiac cycle is set as a second cardiac cycle. The first preset number and the second preset number may be the same or different, and the number of the cardiac cycles included in the first preset number and the second preset number is at least one.

Step 53: the time length between the first cardiac cycle and the second cardiac cycle is determined as an electrocardiographic interception time range.

In some embodiments, the start time of the first cardiac cycle is set to T1 and the end time is set to T2; setting the starting time of a target cardiac cycle as T2 and the ending time as T3; setting the starting time of the second cardiac cycle as T3 and the ending time as T4, and determining the time length between T1 and T4 as the electrocardiographic interception range.

By determining the electrocardiograph interception time range in the mode of step 51-step 53, a preset number of cardiac cycles can be obtained in the electrocardiograph interception time range, and then a complete electrocardiograph data segment is determined.

Step 24: and determining an electrocardiographic data segment corresponding to the electrocardiographic interception time range in electrocardiographic data.

In some embodiments, corresponding electrocardiograms are drawn from the electrocardiographic data, and an electrocardiographic interception range is determined according to the target acquisition time in the electrocardiograms, wherein the electrocardiograms in the electrocardiographic interception range are electrocardiographic fragments. The acquisition time of each group of blood pressure parameters is a target acquisition time, which corresponds to an electrocardiograph segment respectively, and each electrocardiograph segment at least comprises an electrocardiograph period.

In some embodiments, as shown in fig. 6, fig. 6 is an electrocardiographic illustration of an embodiment of determining an electrocardiographic fragment from an electrocardiographic range. In the electrocardiogram of fig. 6, the target acquisition time is T0, which corresponds to the cardiac cycle in which a is located, two cardiac cycles B and C before a are set as the first cardiac cycle, and two cardiac cycles D and E after a are set as the second cardiac cycle. The starting time of the first cardiac cycle is T1, and the ending time is T2; and if the starting time of the second cardiac cycle is T3 and the ending time of the second cardiac cycle is T4, determining that the sections T1 to T4 in the electrocardiogram are the electrocardiographic sections corresponding to T0. Or setting T1 of A as a first time point and setting T4 of E as a second time point, and determining that the sections T1 to T4 in the electrocardiogram are the electrocardiograph fragments corresponding to T0.

Step 25: and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments.

In some embodiments, a group of blood pressure data corresponding to each target acquisition time and an electrocardiograph fragment corresponding to the electrocardiograph data are associated and stored correspondingly, so that all electrocardiograph data and blood pressure data can be associated and stored correspondingly.

Further, by determining the electrocardiograph interception time range, the electrocardiograph data segment can be accurately determined.

Referring to fig. 7, fig. 7 is a schematic flow chart of a third embodiment of an electrocardiographic blood pressure linkage detection method provided by the present application. The method comprises the following steps:

step 71: and acquiring electrocardio data and blood pressure data.

Step 72: and analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters.

Step 73: and determining an electrocardio data segment corresponding to the acquisition time in the electrocardio data.

Steps 71 to 72 have the same or similar technical schemes as any of the above embodiments, and are not described here.

Step 74: and responding to the abnormal blood pressure characteristic parameters corresponding to the acquisition time, and analyzing the electrocardiograph data segment corresponding to the acquisition time to obtain an electrocardiograph analysis result.

In some embodiments, in response to the result of the electrocardiographic analysis being an electrocardiographic anomaly, determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data, the electrocardiographic anomaly including a value of SDNN of less than 50, a first atrial fibrillation or a paroxysmal atrial fibrillation, atrial fibrillation information corresponding to P-wave disappearance or replacement by irregular f-waves, or irregular RR intervals, or an atrial fibrillation frequency of 350-600 times/minute.

In some embodiments, the data segments of the electrocardiograph may be analyzed for ST segments, resulting in ST analysis results. And responding to the ST analysis result as abnormality, and outputting at least blood pressure data corresponding to the abnormality or blood pressure analysis results obtained after analyzing the blood pressure data. Specifically, in response to ST abnormality raised by one millimeter or pressed against by one millimeter, at least the blood pressure data corresponding to the abnormality or a blood pressure analysis result obtained after analyzing the blood pressure data is output. For example, raised by more than one millimeter or pressed against more than one millimeter on the ordinate of the electrocardiogram.

When the ST segment data graph is raised by more than one millimeter or pressed against by more than one millimeter in a sudden manner, the ST is shown to be abnormal, the physical condition of the user is abnormal in a high probability, and corresponding blood pressure data or analysis results corresponding to the abnormality are required to be output so as to help analyze and judge the physical condition of the user. Here, one millimeter is a schematic abnormal data amount, which is a degree of improvement in a conventional display data trend chart, and is changed specifically in accordance with the ordinate data of the data chart.

Further, in response to the ST continuously raising the set raised amount or continuously pressing against the set depressed amount for a preset time, both the set raised amount and the set depressed amount are less than one millimeter, the blood pressure measuring device is controlled to be turned on to prepare for blood pressure measurement.

When the physical condition of the user is abnormal, blood pressure measurement is needed, and because the blood pressure measurement needs time, in order to conveniently judge the physical condition of the user, complete data when the physical condition of the user is abnormal is obtained, and the blood pressure measurement needs to be started in advance when abnormal ST data occurs. If the ST data is continuously raised or pressed over a certain period of time, it indicates that there is a certain continuous trend of change, and the probability of the ST data in the future in the near period of time will continue to change along the previous trend of change, which also indicates that the user may be about to have a physical abnormality. At this time, the blood pressure measurement is started, and the blood pressure measurement device is started. The set elevation and the set depression are each less than one millimeter.

In some embodiments, an abnormality analysis may be performed on the blood pressure characteristic parameter, and a blood pressure analysis result may be obtained. And carrying out abnormal detection on the electrocardio segments related to the blood pressure characteristic parameters, and obtaining an electrocardio-segmentation result.

And for the blood pressure analysis result, the electrocardio-blood pressure linkage detection device detects abnormality of at least one of systolic pressure, diastolic pressure, mean arterial pressure, pulse rate and body position characteristics in blood pressure characteristic parameters. If the blood pressure characteristic parameters are all in a normal parameter range preset by the electrocardio-blood pressure linkage detection device, the blood pressure analysis result is normal, and if the blood pressure characteristic parameters are out of the normal parameter range, the blood pressure analysis result is abnormal.

For the electrocardio-blood pressure linkage detection device, abnormality detection is carried out on at least one of PR interval, QT interval, QRS interval, JT interval, ST interval and electrocardio parameter values (such as average heart rate, slowest heart rate, fastest heart rate, total heart beat and the like) in the electrocardio-segment. If the electrocardio interval value and/or the electrocardio parameter value are/is within another normal parameter range preset by the electrocardio-blood pressure linkage detection device, the electrocardio-separation result is normal, and if the electrocardio-separation result is outside the normal parameter range, the electrocardio-separation result is abnormal.

Optionally, the abnormal detection is performed on the systolic pressure, the diastolic pressure, the mean arterial pressure, the pulse rate and the body position characteristics in the blood pressure characteristic parameters, which can be a single item of data compared with a parameter range preset by the electrocardio-blood pressure linkage detection device, or at least two items of data combination in the blood pressure characteristic parameters are compared with at least two corresponding parameter ranges preset by the electrocardio-blood pressure linkage detection device, so that the result of blood pressure characteristic parameter detection analysis is obtained.

Optionally, abnormal detection is performed on the PR interval, QT interval, QRS interval, JT interval, ST interval and the electrocardiograph parameter value in the electrocardiograph segment, which may be a comparison between a single item of data and another parameter range preset by the electrocardiograph blood pressure linkage detection device, or may be a comparison between at least two items of data combination and at least two corresponding parameter ranges preset by the electrocardiograph blood pressure linkage detection device, so as to obtain an electrocardiograph parameter detection analysis result.

In some embodiments, referring to fig. 8, step 74 may be the following procedure:

step 81: and extracting characteristic parameters of the electrocardiograph data segment corresponding to the acquisition time, wherein the characteristic parameters comprise at least one of cardiac cycle type, cardiac cycle position, interval, heart rate, P wave parameters and Q wave parameters.

In some embodiments, the characteristic parameter corresponding to the cardiac cycle includes at least one of a cardiac cycle type, a cardiac cycle position, an RR interval, a heart rate, a P-wave parameter, and a Q-wave parameter. Wherein, the characteristic parameters are all related to heart rate variability.

The electrocardiographic data is drawn into a corresponding electrocardiogram, and a plurality of electrocardiographic cycles are included in the electrocardiogram. At least one of the cardiac cycle type, cardiac cycle position, RR interval, heart rate, P-wave parameters, and Q-wave parameters may be analyzed from the electrocardiogram.

Wherein the RR interval is the interval between each heart beat. Because the electrocardiogram is measured by measuring the distance between two R waves, the interval between two heart beats is called RR interval. The heart chamber is the main part of heart beating, the QRS wave is the representation and record of the heart electrical variation of the heart chamber contraction on the electrocardiogram, the time interval between two heart beats is calculated, and the heart beating RR interval can be obtained by measuring the distance between two R waves on the electrocardiogram and converting.

Wherein, as shown in fig. 4, the Q wave is located at the first negative wave of the electrocardiogram, and from the appearance, the Q wave is the first "pit" in the electrocardiogram. In clinical practice, an abnormal Q wave refers to a time-broadening, amplitude-deepening, or occurrence of a wave break of a Q wave on a cardiogram, and a Q wave occurs where the Q wave does not occur.

Wherein, the P wave parameters include: at least one of P wave time limit, P wave form, P wave amplitude, P wave and QRS wave relation, and P wave downloading condition, and the P wave parameters can also comprise PR interval, RP interval, PP interval difference, etc.

The P wave time limit refers to a time period between the starting time and the ending time of the P wave, the P wave amplitude value comprises a maximum signal value, a minimum signal value or a difference value between the maximum signal value and the minimum signal value of the P wave end, the relation between the P wave and the QRS wave refers to a proportional relation between the number of the P wave and the number of the QRS wave, and the P wave downloading condition refers to whether the right QRS wave is arranged behind the P wave.

Further, the P-wave state and P-wave type or cardiac cycle type can also be determined according to the P-wave parameters. The P-wave modes can be classified according to different classification modes, for example, the P-wave mode can be divided into vertical P-wave mode, inverted P-wave mode, positive and negative bidirectional P-wave mode and negative and positive bidirectional P-wave mode. The P wave type includes PR, which indicates that there is a QRS wave in the P wave band, and single R, which indicates that there is no R wave front, and PR, which includes both downstream PR and unrendered PR.

Step 82: and drawing an electrocardiographic analysis chart/table showing the change trend of the characteristic parameters along with time as an electrocardiographic analysis result.

For the electrocardio analysis table, corresponding electrocardio abnormal information and electrocardio abnormal information data thereof can be determined according to the characteristic parameters, and the electrocardio abnormal information data are drawn into the corresponding electrocardio analysis table, wherein an electrocardio analysis chart/table is used for representing the change trend of the electrocardio abnormal information along with time. The electrocardiographic anomaly information data comprise an electrocardiographic information acquisition range, an electrocardiographic information acquisition time, electrocardiographic parameters corresponding to electrocardiographic fragments and electrocardiographic events determined according to the electrocardiographic parameters. The electrocardiographic parameters corresponding to the electrocardiographic fragments comprise at least one of average heart rate, slowest heart rate, heart beat type, heart beat position, interval parameters, waveform parameters, fastest heart rate and total number of heart beats, and the electrocardiographic events comprise at least one of atrial premature beat, atrial speed, ventricular premature beat, single-shot ventricular premature beat, paired ventricular premature beat, ventricular speed and ventricular bivariate.

Step 75: and correlating the acquisition time, the corresponding blood pressure characteristic parameters, the corresponding electrocardiographic data segments and the corresponding electrocardiographic analysis results.

In this embodiment, the electrocardiographic data and the blood pressure data are used to perform analysis, so as to obtain the blood pressure characteristic parameter and the electrocardiographic data segment corresponding to the acquisition time, and the acquisition time, the corresponding blood pressure characteristic parameter, the corresponding electrocardiographic data segment and the corresponding electrocardiographic analysis result are associated, so that the correspondence relationship among the collection time, the corresponding blood pressure characteristic parameter, the corresponding electrocardiographic data segment and the corresponding electrocardiographic analysis result is enhanced, the association analysis of the subsequent data is facilitated, and the electrocardiographic blood pressure analysis efficiency is improved.

Furthermore, the electrocardio analysis result is represented by an electrocardio analysis chart/table of the trend of the characteristic parameter along with time, so that the change relation of the characteristic parameter along with time can be more obviously compared.

Referring to fig. 9, fig. 9 is a flowchart of a fourth embodiment of an electrocardiographic blood pressure linkage detection method provided by the present application. The method comprises the following steps:

step 91: and acquiring electrocardio data and blood pressure data.

Step 92: analyzing the blood pressure data to obtain the acquisition time and corresponding blood pressure characteristic parameters and blood pressure analysis results, or analyzing the associated blood pressure characteristic parameters to obtain blood pressure analysis results.

Step 93: and responding to the blood pressure analysis result as abnormal blood pressure, and displaying the corresponding blood pressure characteristic parameters in a marked manner.

In some embodiments, the electrocardiographic blood pressure linkage detection device converts the analysis results of the blood pressure parameters into a corresponding blood pressure analysis table or blood pressure analysis chart and the analysis results of the electrocardiographic fragments into a corresponding electrocardiographic analysis table or electrocardiographic analysis chart, and displays the blood pressure analysis chart/chart and/or electrocardiographic analysis chart/chart in a human-computer interface. If the analysis result of the blood pressure characteristic parameter and/or the electrocardio segment is abnormal, the electrocardio blood pressure linkage detection device displays the associated blood pressure analysis chart/table and/or the electrocardio analysis chart/table in a human-computer interface in a marked mode.

Wherein, the electrocardio abnormality comprises SDNN value smaller than 50, initial atrial fibrillation or paroxysmal atrial fibrillation, and atrial fibrillation information corresponds to P wave disappearance or replacement by irregular f wave, or irregular RR interval, or atrial fibrillation frequency of 350-600 times/min.

Optionally, the electrocardiographic blood pressure linkage detection device comprises a human-computer interface. The human-computer interface is used for providing a user operation interface, such as an acquisition mode selection main interface for selecting electrocardiographic data acquisition or blood pressure data acquisition, a functional mode working interface for displaying electrocardiographic data or blood pressure data, a parameter setting interface for configuring acquisition data, and the like.

In other embodiments, the associated electrocardiographic data segment is analyzed to obtain an electrocardiographic analysis result; and responding to the electrocardio analysis result as the electrocardio abnormality, and marking and displaying the corresponding electrocardio data segment.

In some embodiments, referring to fig. 10, step 93 may specifically include the following steps.

Step 101: and displaying the blood pressure analysis result and/or the electrocardio analysis result.

Optionally, the blood pressure meter includes a corresponding set of blood pressure parameters, such as at least one of a date of acquisition, time of acquisition, systolic pressure, diastolic pressure, mean arterial pressure, pulse rate, body position characteristics, and error code, all of the blood pressure data. And arranging all blood pressure parameters according to the corresponding acquisition date and acquisition time sequence, sequentially displaying a human-computer interface of the electrocardiograph blood pressure linkage detection device, and storing whole-course blood pressure data in a storage of the electrocardiograph blood pressure linkage detection device.

Referring to fig. 11, fig. 11 is a schematic diagram of a human-computer interface showing an embodiment of a blood pressure analysis result and/or an electrocardiographic analysis result.

As shown in fig. 11, the upper side of the human-computer interface displays an electrocardiograph, and the lower side displays a blood pressure analyzer. The acquisition time T1 of the electrocardiographic analysis chart is 2019-10-10, 13:00, the blood pressure analysis table comprises the whole blood pressure monitoring result, and corresponding 2019-10-10, 13: the blood pressure parameter set 00 is marked with bold fonts.

Step 102: and analyzing the associated electrocardio data segment to obtain an electrocardio analysis result.

And responding to the electrocardio analysis result as the electrocardio abnormality, and marking and displaying the corresponding electrocardio data segment.

Optionally, if the numerical value in the blood pressure analysis chart/table and/or the electrocardiograph analysis chart/table is abnormal, an alarm mark can be added at the abnormal position of the numerical value, and the abnormal value at the position can be displayed. Optionally, adding alert identification displays to abnormal values may include changing the font and/or font size of the abnormal value or adding other specific identifications (such as parameter labels "+' or" DELTA ", and the parameters" ∈ "or" DELTA ", which are smaller than the preset parameter range, are used for distinguishing abnormal values from other normal values.

For example, when the systolic pressure and the diastolic pressure in the blood pressure analysis table/chart are larger than the parameter range preset by the electrocardiographic blood pressure linkage detection device, a background color change or a shadow prompt is added in the area where the numerical value is located, and meanwhile, normal value data are presented in the area.

Optionally, the dotted line selection is supported at the blood pressure analysis map/table and/or the electrocardiography analysis map/table. Clicking any position in the blood pressure analysis chart/table and/or the electrocardiograph analysis chart/table, clicking a selected line in the chart/table, popping up a suspension window or adding a window on a human-computer interface to display electrocardiographic parameters of the position, and displaying the value of the point on the selected line. For example, clicking any point in the electrocardiograph detection chart/table can generate a click line, and meanwhile, an electrocardiograph window is additionally arranged on the human-computer interface to display electrocardiograph parameters of the position, and data of a normal value of the point is displayed on the click line.

Optionally, the electrocardio-blood pressure linkage detection device also comprises an input module. The input module is used for inputting control signals to the electrocardio-blood pressure linkage detection device to control the electrocardio-blood pressure linkage detection device to operate, such as inputting control signals for configuring acquisition modes (such as an 8-lead mode, a 12-lead mode and an 18-lead mode), operating control of a human-computer interface (such as confirmation, exiting, up-down, left-right and the like) and the like, so as to complete functional configuration of the electrocardio-blood pressure linkage detection device, save the functional configuration and facilitate subsequent continuous use.

Alternatively, the input module may be a touch screen input sensor, a key input device, or a voice input device. The touch screen input sensor and the key input device can comprise various input ends, and the voice input device can comprise a plurality of voice keywords for inputting different control signals to the electric blood pressure linkage detection device. For example, the key input device may include four keys, namely a confirm key, a left key, a right key and an exit key, wherein the exit key, the confirm key, the left key and the right key are used for performing interface operation on a human-computer interface and inputting corresponding control signals to the blood pressure linkage detection device. The plurality of voice keywords in the voice inputter include the same functions as the plurality of keys in the key inputter. For example, a phonetic keyword is "2019-10-10, 13:00, the voice input unit recognizes the keyword and sends a corresponding control signal to the electrocardio-blood pressure linkage detection device, and the electrocardio-blood pressure linkage detection device immediately carries out 2019-10-10, 13: and displaying the electrocardiograph detection result and/or the blood pressure monitoring result corresponding to 00 in a human-computer interface.

Step 94: and determining an electrocardio data segment corresponding to the acquisition time in the electrocardio data.

Step 95: and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments.

Steps 94 to 95 have the same or similar technical solutions as any of the above embodiments, and are not described here.

Referring to fig. 12, fig. 12 is a flowchart of a fifth embodiment of an electrocardiographic blood pressure linkage detection method according to the present application. The method comprises the following steps:

step 121: and acquiring electrocardio data and blood pressure data.

Step 122: and analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters.

Step 123: and determining an electrocardio data segment corresponding to the acquisition time in the electrocardio data.

Step 124: and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardiographic data segments.

Steps 121 to 124 have the same or similar technical solutions as any of the above embodiments, and are not described here.

Step 125: and generating an analysis report according to the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardio data segment association relation.

In some implementations, generating the analysis report includes: report contents corresponding to the blood pressure characteristic parameters and report contents corresponding to the electrocardiographic data segments are separated and formed in different parts of the analysis report respectively. For example, the analysis report includes a first portion and a second portion, the first portion may be located before the second portion. Report contents corresponding to the blood pressure characteristic parameters are formed in the first part, and report contents corresponding to the electrocardio data segments are formed in the second part.

The first part and the second part can be positioned on the same page, and the first part and the second part are respectively arranged left and right or up and down.

In some embodiments, referring to fig. 13, after generating the analysis report, including:

step 131: and generating a thumbnail corresponding to the analysis report.

In some embodiments, the analysis report may be simplified, generating a corresponding thumbnail. To reduce the space occupied by the analysis report on the page.

Step 132: and displaying the thumbnail.

Step 133: in response to a click operation on the thumbnail, an analysis report is displayed.

The user may click on the thumbnail for viewing, and in response to the click operation on the thumbnail, the analysis report is displayed. For example, a window is displayed separately for displaying the analysis report. The window is capable of displaying the content of the analysis report to the maximum extent.

Referring to fig. 14, fig. 14 is a flowchart of a sixth embodiment of an electrocardiographic blood pressure linkage detection method according to the present application. The method comprises the following steps:

step 141: and acquiring electrocardio data.

Step 142: the electrocardiographic data is analyzed to obtain acquisition times.

Step 143: a blood pressure data segment corresponding to the acquisition time is determined in the blood pressure data.

Step 144: and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

In some embodiments, the acquisition time, the electrocardiographic data, and the blood pressure data may be saved in association. Such as into a memory of the wearable device.

In some embodiments, the acquisition time, the electrocardiographic data, and the blood pressure data may be transmitted in association. If the association is transmitted to the cloud server.

In some embodiments, the acquisition time, the electrocardiographic data, and the blood pressure data may be displayed in association. Such as the acquisition time, blood pressure data, and corresponding electrocardiographic data Duan Tongbing, are displayed on a display screen.

Steps 141 to 144 have the same or similar technical schemes as those in any of the above embodiments, and are not repeated here.

The method comprises the steps of analyzing by using electrocardio data and blood pressure data to obtain blood pressure data corresponding to acquisition time, correlating the acquisition time, the electrocardio data and corresponding blood pressure data segments, enhancing the corresponding relation among the acquisition time, the electrocardio data and the corresponding blood pressure data segments, facilitating the correlation analysis of subsequent data and improving the electrocardio blood pressure analysis efficiency.

In some embodiments, step 142 may further be to analyze the electrocardiographic data to obtain acquisition times and corresponding electrocardiographic feature parameters; thus, the acquisition time, the corresponding electrocardiographic characteristic parameters, and the corresponding blood pressure data segments may be correlated in step 144.

In some embodiments, the acquisition time, blood pressure data, and corresponding electrocardiographic data segments may be saved in association. Such as into a memory of the wearable device.

In some embodiments, the acquisition time, blood pressure data, and corresponding electrocardiographic data segments may be transmitted in association. If the association is transmitted to the cloud server.

In some embodiments, the acquisition time, blood pressure data, and corresponding electrocardiographic data segments may be displayed in association. Such as the acquisition time, blood pressure data, and corresponding electrocardiographic data Duan Tongbing, are displayed on a display screen.

Referring to fig. 15, fig. 15 is a flowchart of a seventh embodiment of an electrocardiographic blood pressure linkage detection method according to the present application. The method comprises the following steps:

step 191: and acquiring electrocardio data and blood pressure data.

Step 192: the blood pressure data is analyzed to obtain an acquisition time.

Step 193: and determining an electrocardio data segment corresponding to the acquisition time in the electrocardio data.

Steps 191 to 193 have the same or similar technical schemes as those in any of the above embodiments, and are not repeated here.

Step 194: and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment.

And analyzing by using the electrocardio data and the blood pressure data to obtain electrocardio data segments corresponding to the acquisition time, correlating the acquisition time, the blood pressure data and the corresponding electrocardio data segments, enhancing the corresponding relation among the acquisition time, the blood pressure data and the corresponding electrocardio data segments, facilitating the correlation analysis of subsequent data and improving the electrocardio blood pressure analysis efficiency.

In any of the embodiments, the neural network model may be used to identify the blood pressure data and/or the electrocardiographic data, directly determine whether the blood pressure data and/or the electrocardiographic data meet the abnormal condition, and perform the associated display based on the abnormal condition.

Referring to fig. 16, fig. 16 is a schematic structural diagram of a wearable device according to the present application, where the wearable device 170 includes: an electrocardiographic data interface 171, a blood pressure data interface 172, and a controller 173.

The electrocardiograph data interface 171 is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph data acquired by the electrocardiograph acquisition component.

The blood pressure data interface 172 is used for connecting with a blood pressure acquisition component worn on the living body to acquire blood pressure data acquired by the blood pressure acquisition component.

The controller 173 is connected to the electrocardiographic data interface 171 and the blood pressure data interface 172, and is used for analyzing the blood pressure data to obtain the acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment.

In some embodiments, the wearable device 170 is capable of implementing the aspects of any of the embodiments described above.

Referring to fig. 17, fig. 17 is a schematic structural diagram of another wearable device provided by the present application, where the wearable device 180 includes: an electrocardiographic data interface 181, a blood pressure data interface 182, and a controller 183.

The electrocardiograph data interface 181 is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph data acquired by the electrocardiograph acquisition component.

The blood pressure data interface 182 is used for connecting with a blood pressure acquisition component worn on a living body to acquire blood pressure data acquired by the blood pressure acquisition component.

The controller 183 is connected with the electrocardiograph data interface 181 and the blood pressure data interface 182, and is used for analyzing electrocardiograph data to obtain acquisition time; determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data; and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

In some embodiments, the wearable device 180 is capable of implementing the solution of any of the embodiments described above.

Referring to fig. 18, fig. 18 is a schematic structural diagram of an electrocardiographic blood pressure linkage detection device provided by the present application, where the electrocardiographic blood pressure linkage detection device 150 includes a processor 151 and a memory 152 connected to the processor 151, where the memory 152 stores program data, and the processor 151 retrieves the program data stored in the memory 152 to execute the electrocardiographic blood pressure linkage detection method.

The electrocardiograph blood pressure linkage detection device 150 may be a comprehensive detection instrument, which includes electrocardiograph detection, blood pressure detection, ultrasonic detection or nuclear magnetic detection, and has a human-computer interface for displaying electrocardiograph data information, blood pressure data information, ultrasonic data information or nuclear magnetic data information. For example, the electrocardiographic blood pressure linkage detection device 150 can be applied to a large diagnosis and treatment technology in a hospital, and can also be a portable small electrocardiographic blood pressure detection device, so that the electrocardiographic blood pressure linkage detection device can be conveniently worn on a human body, and can acquire and display electrocardiographic data and blood pressure data of the human body according to preset rules.

Optionally, in an embodiment, the processor 151 is configured to execute program data to implement the following method: acquiring electrocardio data and blood pressure data; analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; correlating the acquisition time, blood pressure data and corresponding electrocardiographic data segments;

or, acquiring electrocardiographic data; analyzing the electrocardiographic data to obtain acquisition time; determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data; and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

The processor 151 may also be referred to as a CPU (Central Processing Unit ). Processor 151 may be an electronic chip with signal processing capabilities. Processor 151 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 152 may be a memory bank, a TF card, etc., and may store all information in the electrocardiograph blood pressure linkage detection device 150, including input raw data, a computer program, intermediate operation results, and final operation results, which are all stored in the memory 152. It stores and retrieves information based on the location specified by processor 151. With the memory 152, the electrocardiograph blood pressure linkage detection device 150 has a memory function, so that normal operation can be ensured. The memory 152 of the electrocardiographic blood pressure linkage detection device 150 may be classified into a main memory (memory) and an auxiliary memory (external memory) according to the purpose, and may be classified into an external memory and an internal memory. The external memory is usually a magnetic medium, an optical disk, or the like, and can store information for a long period of time. The memory refers to a storage component on the motherboard for storing data and programs currently being executed, but is only used for temporarily storing programs and data, and the data is lost when the power supply is turned off or the power is turned off.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the embodiment of the electrocardiographic blood pressure linkage detection device 150 described above is merely illustrative, for example, the manner in which electrocardiographic data and blood pressure data are displayed on a human-computer interface, or the corresponding selection of the electrocardiographic range and the blood pressure parameters is merely a set manner, and other dividing manners may be actually implemented, for example, multiple data detection tables or data detection diagrams may be combined or may be integrated into another system, or some features may be omitted or not performed.

In addition, each functional unit (such as an electrocardiograph data collector, a blood pressure data collector, a human-computer interface or an input module for data collection and the like) in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

Referring to fig. 19, fig. 19 is a schematic structural diagram of an embodiment of a computer readable storage medium 160 according to the present application, where program instructions 161 capable of implementing all the above methods are stored.

The units integrated with the functional units in the various embodiments of the present application may be stored in the computer-readable storage medium 160 if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product, and the computer readable storage medium 160 includes several instructions in a program instruction 161 to make a computer device (which may be a personal computer, a system server, or a network device, etc.), an electronic device (such as MP3, MP4, etc., also a mobile terminal such as a mobile phone, a tablet computer, a wearable device, etc., also a desktop computer, etc.), or a processor (processor) to perform all or part of the steps of the method according to the embodiments of the present application.

Optionally, in an embodiment, the program instructions 161, when executed by the processor, are configured to implement the following method: acquiring electrocardio data and blood pressure data; analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in electrocardiograph data; correlating the acquisition time, blood pressure data and corresponding electrocardiographic data segments;

In some embodiments, in any of the above methods, the on-screen display is triggered only when abnormal features, such as some unobvious abnormal waveforms, such as the peak and trough in the cardiac cycle, the P-wave, the position and amplitude of the ST segment, etc., are identified, and at this time, the part displayed on the same screen greatly reduces the workload of a doctor for comparing and analyzing all the blood pressure data and the electrocardiographic data, and the part displayed on the same screen has more clinical value.

The method comprises the steps that a doctor analyzes all electrocardiographic data and blood pressure data, identifies abnormal characteristics, and then manually calls out the data to display the data on the same screen; or through training a model, the abnormal characteristics can be intelligently identified so as to call the data of the corresponding time period and display the data on the same screen.

In some embodiments, in any of the above methods, only the blood pressure data and the electrocardiographic data in the abnormal time period are displayed on the same screen, for example, in a 24-hour acquired data map, only the data in the abnormal time period are displayed, and the data corresponding to the normal time period are not displayed, so that the portion of the blood pressure data and the electrocardiographic data in the abnormal time period, which are manually analyzed by a doctor, are more clinically valuable.

In some embodiments, the blood pressure data and the electrocardiographic data can be associated with each other based on the method of any one of the above embodiments; and association analysis in two data analysis; and associated display when two kinds of data are displayed; and associated exports when both data are exported. Wherein the two data displays include displaying a scatter plot, a histogram, a trend plot, a data table, a single data analysis result, a comparison data analysis result, and the like.

In some embodiments, in any of the above methods, the electrocardiographic data may be first analyzed to identify various anomalies of the electrocardiographic data, such as several anomalies of cardiac variability, several anomalies of atrial fibrillation, several anomalies of P-waves, and several anomalies of ST-segments); classifying various anomalies; finally, the blood pressure data of several abnormal categories with clinical value and corresponding time periods are displayed on the same screen, and the workload of doctors for comparing and analyzing all blood pressure data and electrocardio data is greatly reduced by the part displayed on the same screen, so that the doctor can conveniently perform manual analysis and the part displayed on the same screen has more clinical value.

In an application scene, a user wears the wearable device to acquire data in a hospital, outdoors and at home, the wearable device identifies abnormal characteristics of the data, and when the abnormal characteristics are identified, the corresponding abnormal data are sent to a doctor through a cloud for manual analysis so as to obtain advice fed back by the doctor, so that the workload of the doctor for comparing and analyzing all blood pressure data and electrocardiograph data is greatly reduced, the doctor can conveniently analyze the data manually, and the transmitted data has clinical analysis value. Through the mode, the wearable device sends the corresponding abnormal data to the doctor system through the cloud, so that the transmission quantity of the wearable device to the data can be reduced, the requirement on communication hardware of the wearable device is reduced, and the cost of the wearable device can be reduced. Further, the loss rate in the data transmission process can be reduced by the smaller data transmission quantity, and the effectiveness of the data is improved. Further, because the corresponding abnormal data is sent to the doctor system through the cloud, interaction with the cloud can be reduced by the wearable device, battery power is saved, and service time of the wearable device is prolonged.

In an application scene, a user wears the wearable device to collect data in a remote measurement mode in a hospital, outdoors and at home and send the collected data to the cloud in real time, the cloud identifies abnormal characteristics of the data, and when the abnormal characteristics are identified, the corresponding abnormal data are sent to a doctor system through the cloud to be manually analyzed, so that advice fed back by the doctor system is obtained, the workload of a doctor for comparing and analyzing all blood pressure data and electrocardio data is greatly reduced, manual analysis is conveniently carried out by the doctor, and the transmitted data has clinical analysis value.

In summary, the method, the device, the equipment and the readable storage medium for detecting the electrocardiographic blood pressure linkage in any embodiment can solve the technical problem that the blood pressure data and the electrocardiographic data need to be compared and analyzed under specific conditions.

The foregoing description is only of embodiments of the present application, and is not intended to limit the scope of the application, and all equivalent structures or equivalent processes using the descriptions and the drawings of the present application or directly or indirectly applied to other related technical fields are included in the scope of the present application.

Claims

1. An electrocardiographic blood pressure linkage detection method is characterized by comprising the following steps:

acquiring electrocardio data and blood pressure data;

analyzing the blood pressure data to obtain acquisition time;

determining an electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data;

and correlating the acquisition time, the blood pressure data and the corresponding electrocardio data segment.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the determining the electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data comprises the following steps:

determining an electrocardiographic interception time range including the acquisition time;

and determining an electrocardio data segment corresponding to the electrocardio interception time range in the electrocardio data.

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

the determining an electrocardiographic interception time range including the acquisition time comprises the following steps:

determining a first time point of a first preset time length before the acquisition time and determining a second time point of a second preset time length after the acquisition time;

and determining the time length between the first time point and the second time point as the electrocardiographic interception time range.

4. The method of claim 2, wherein the step of determining the position of the substrate comprises,

determining a target cardiac cycle corresponding to the acquisition time;

determining a first cardiac cycle corresponding to a first preset number of cardiac cycles before the target cardiac cycle, and determining a second cardiac cycle corresponding to a second preset number of cardiac cycles after the target cardiac cycle;

and determining the time length between the first cardiac cycle and the second cardiac cycle as the electrocardiographic interception time range.

5. The method of claim 1, wherein analyzing the blood pressure data to obtain an acquisition time comprises:

analyzing the blood pressure data to obtain acquisition time and corresponding blood pressure characteristic parameters;

the correlating the acquisition time, the blood pressure data and the corresponding electrocardiographic data segment comprises:

and correlating the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardio data segments.

6. The method of claim 5, wherein the step of determining the position of the probe is performed,

the step of determining the electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data comprises the following steps:

Responding to the abnormal blood pressure characteristic parameters corresponding to the acquisition time, and analyzing the electrocardiograph data segment corresponding to the acquisition time to obtain an electrocardiograph analysis result;

the associating the acquisition time, the corresponding blood pressure characteristic parameter, and the corresponding electrocardiographic data segment includes:

and correlating the acquisition time, the corresponding blood pressure characteristic parameters, the corresponding electrocardiographic data segments and the corresponding electrocardiographic analysis results.

7. The method of claim 6, wherein the step of providing the first layer comprises,

analyzing the electrocardiograph data segment corresponding to the acquisition time to obtain an electrocardiograph analysis result, including:

extracting characteristic parameters of the electrocardiograph data segment corresponding to the acquisition time, wherein the characteristic parameters comprise at least one of a cardiac cycle type, a cardiac cycle position, an interval, a heart rate, a P-wave parameter and a Q-wave parameter;

and drawing an electrocardiographic analysis chart/table showing the change trend of the characteristic parameters along with time as an electrocardiographic analysis result.

8. The method of claim 5, wherein the step of determining the position of the probe is performed,

the analyzing the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters comprises the following steps: analyzing the blood pressure data to obtain acquisition time, corresponding blood pressure characteristic parameters and blood pressure analysis results; or (b)

Analyzing the related blood pressure characteristic parameters to obtain the blood pressure analysis result;

the analysis of the blood pressure data to obtain the acquisition time and the corresponding blood pressure characteristic parameters comprises the following steps:

responding to the blood pressure analysis result to be abnormal, and marking and displaying the corresponding blood pressure characteristic parameters; and/or

Analyzing the associated electrocardio data segment to obtain an electrocardio analysis result;

and responding to the electrocardio analysis result as an electrocardio abnormality, and marking and displaying the corresponding electrocardio data segment, wherein the electrocardio abnormality comprises that the SDNN value is less than 50, the atrial fibrillation is initiated or the paroxysmal atrial fibrillation, and the atrial fibrillation information corresponds to the disappearance of P waves or the replacement of P waves by irregular f waves, or the irregularity of RR intervals, or the atrial fibrillation frequency is 350-600 times/minute.

9. The method of claim 1, wherein the step of determining the position of the substrate comprises,

and generating an analysis report according to the acquisition time, the corresponding blood pressure characteristic parameters and the corresponding electrocardio data segment association relation.

10. The method of claim 9, wherein the step of determining the position of the substrate comprises,

The generating of the analysis report includes:

generating a thumbnail corresponding to the analysis report;

displaying the thumbnail;

and responding to clicking operation on the thumbnail, and displaying the analysis report.

11. The method of claim 9, wherein the step of determining the position of the substrate comprises,

the generating an analysis report includes: and separating the report content corresponding to the blood pressure characteristic parameter from the report content corresponding to the electrocardio data segment, and respectively forming different parts of the analysis report.

12. An electrocardiographic blood pressure linkage detection method is characterized by comprising the following steps:

acquiring electrocardio data;

analyzing the electrocardiographic data to obtain acquisition time;

determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data;

and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

13. The method of claim 12, wherein analyzing the electrocardiographic data to obtain an acquisition time comprises:

Analyzing the electrocardio data to obtain acquisition time and corresponding electrocardio characteristic parameters;

the correlating the electrocardiographic data with the blood pressure data based on the acquisition time includes:

and correlating the acquisition time, the corresponding electrocardio characteristic parameters and the corresponding blood pressure data segment.

14. The method of claim 12, wherein the step of determining the position of the probe is performed,

the determining the blood pressure data segment corresponding to the acquisition time in the blood pressure data comprises the following steps:

and responding to the electrocardio analysis result to be an electrocardio abnormality, determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data, wherein the electrocardio abnormality comprises that the value of SDNN is less than 50, atrial fibrillation or paroxysmal atrial fibrillation is generated, and atrial fibrillation information corresponds to the disappearance of P waves or the replacement of P waves by irregular f waves, or irregular RR intervals, or the frequency of atrial fibrillation waves is 350-600 times/minute.

15. The method of claim 12, wherein the step of determining the position of the probe is performed,

the correlating the electrocardiographic data with blood pressure data based on the acquisition time includes:

and responding to the electrocardio characteristic parameters meeting the requirements, and correlating the electrocardio data with blood pressure data by taking acquisition time as a reference.

16. A wearable device, the wearable device comprising:

The electrocardiograph data interface is used for connecting an electrocardiograph acquisition component worn on a living body to acquire electrocardiograph data acquired by the electrocardiograph acquisition component;

the blood pressure data interface is used for connecting a blood pressure acquisition component worn on a living body to acquire blood pressure data acquired by the blood pressure acquisition component;

the controller is connected with the electrocardio data interface and the blood pressure data interface and is used for analyzing the blood pressure data to obtain acquisition time; determining an electrocardiograph data segment corresponding to the acquisition time in the electrocardiograph data; and correlating the acquisition time, the blood pressure data and the corresponding electrocardio data segment.

17. A wearable device, the wearable device comprising:

the controller is connected with the electrocardio data interface and the blood pressure data interface and is used for analyzing the electrocardio data to obtain acquisition time; determining a blood pressure data segment corresponding to the acquisition time in the blood pressure data; and correlating the electrocardio data with the blood pressure data by taking the acquisition time as a reference, or correlating the analysis result of the electrocardio data with the blood pressure data by taking the acquisition time as a reference.

18. An electrocardiographic blood pressure linkage detection device, characterized in that the electrocardiographic blood pressure linkage detection device comprises a processor and a memory connected with the processor, wherein program data are stored in the memory, and the processor invokes the program data stored in the memory to execute the electrocardiographic blood pressure linkage detection method according to any one of claims 1-15.

19. A computer readable storage medium having stored therein program instructions, wherein the program instructions are executed to implement the method of any of claims 1-15.